Add Turkish pretrain checkpoint (epoch 1, loss ~3.4)
Browse files- config.json +36 -0
- generation_config.json +9 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +261 -0
- optimizer.pt +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2742 -0
config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "canopylabs/orpheus-3b-0.1-pretrained",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 128000,
|
| 9 |
+
"eos_token_id": 128001,
|
| 10 |
+
"head_dim": 128,
|
| 11 |
+
"hidden_act": "silu",
|
| 12 |
+
"hidden_size": 3072,
|
| 13 |
+
"initializer_range": 0.02,
|
| 14 |
+
"intermediate_size": 8192,
|
| 15 |
+
"max_position_embeddings": 131072,
|
| 16 |
+
"mlp_bias": false,
|
| 17 |
+
"model_type": "llama",
|
| 18 |
+
"num_attention_heads": 24,
|
| 19 |
+
"num_hidden_layers": 28,
|
| 20 |
+
"num_key_value_heads": 8,
|
| 21 |
+
"pretraining_tp": 1,
|
| 22 |
+
"rms_norm_eps": 1e-05,
|
| 23 |
+
"rope_scaling": {
|
| 24 |
+
"factor": 32.0,
|
| 25 |
+
"high_freq_factor": 4.0,
|
| 26 |
+
"low_freq_factor": 1.0,
|
| 27 |
+
"original_max_position_embeddings": 8192,
|
| 28 |
+
"rope_type": "llama3"
|
| 29 |
+
},
|
| 30 |
+
"rope_theta": 500000.0,
|
| 31 |
+
"tie_word_embeddings": true,
|
| 32 |
+
"torch_dtype": "float32",
|
| 33 |
+
"transformers_version": "4.46.3",
|
| 34 |
+
"use_cache": true,
|
| 35 |
+
"vocab_size": 156940
|
| 36 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 128000,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": 128001,
|
| 6 |
+
"temperature": 0.6,
|
| 7 |
+
"top_p": 0.9,
|
| 8 |
+
"transformers_version": "4.46.3"
|
| 9 |
+
}
|
model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efce5eb4cafe959ce8779d9dfcd5894188a953404bbbe827b4f4dde0b2c41642
|
| 3 |
+
size 4948557560
|
model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1bfdb3c4bf2f212dec6573738072444277918f8f96608549c57d93d2ad318de9
|
| 3 |
+
size 4932808960
|
model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc923160d6b413a9cc4e83368eb2435a28ba3e54e2cb29ee926985f763b0b609
|
| 3 |
+
size 3322130968
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,261 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 13203468288
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
| 7 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 8 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 9 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 10 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 11 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 12 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 16 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 17 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 18 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 19 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 20 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 21 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 25 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 26 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 27 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 28 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 29 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 30 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 34 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 35 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 36 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 37 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 38 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 39 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 43 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 44 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 45 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 46 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 47 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 48 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 52 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 53 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 54 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 55 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 56 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 57 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 61 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 62 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 63 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 64 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 65 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 66 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 70 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 71 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 72 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 73 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 74 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 75 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 79 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 80 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 81 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 82 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 83 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 84 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 88 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 89 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 90 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 91 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 92 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 93 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 97 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 98 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 99 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 100 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 101 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 102 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 106 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 107 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 108 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 109 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 110 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 111 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 115 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 116 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 117 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 118 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 119 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 120 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 124 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 125 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 126 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 127 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 128 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 129 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 133 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 134 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 135 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 136 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 137 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 138 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 142 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 143 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 144 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 145 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 146 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 147 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 151 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 152 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 153 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 154 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 155 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 156 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 160 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 161 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 162 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 163 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 164 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 165 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 169 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 170 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 171 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 172 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 173 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 174 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 178 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 179 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 180 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 181 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 182 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 183 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 187 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 188 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 189 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 190 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 191 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 192 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 196 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 197 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 198 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 199 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 200 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 201 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 202 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 203 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 204 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 205 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 206 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 207 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 208 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 209 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 210 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 211 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 212 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 213 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 214 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 215 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 216 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 217 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 218 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 219 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 220 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 221 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 222 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 223 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 224 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 225 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 226 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 227 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 228 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 229 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 230 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 231 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 232 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 233 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 234 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 235 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 236 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 237 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 238 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 239 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 240 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 241 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 242 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 243 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 244 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 245 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 246 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 247 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 248 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 249 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 250 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 251 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 252 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 253 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 254 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 255 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 256 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 257 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 258 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 259 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
| 260 |
+
}
|
| 261 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9c7cac9804cf39770f397d0a9f36c4b1604e36fa35a785fdc863b2b9b6917f7
|
| 3 |
+
size 26407159030
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad792af33c7cfa8b15298ecc9d976ebdcdeb444ca0e704c7b0657f41ee6547eb
|
| 3 |
+
size 14512
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:722c924fceffd85f8ab1a5445f1ea1e6c502644b6a42e2ff6b5a9a76ea26e1fe
|
| 3 |
+
size 14512
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97d9ed21608f4f86fea19d2359423143992e228c39ca59cad9b6524cb436d7e9
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2742 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 38799,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.002577386015103482,
|
| 13 |
+
"grad_norm": 11.290987968444824,
|
| 14 |
+
"learning_rate": 1.9999672186894294e-05,
|
| 15 |
+
"loss": 4.8466,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.005154772030206964,
|
| 20 |
+
"grad_norm": 6.718034267425537,
|
| 21 |
+
"learning_rate": 1.999868876906945e-05,
|
| 22 |
+
"loss": 4.5435,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.007732158045310446,
|
| 27 |
+
"grad_norm": 22.342819213867188,
|
| 28 |
+
"learning_rate": 1.999704981100092e-05,
|
| 29 |
+
"loss": 4.4353,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.010309544060413928,
|
| 34 |
+
"grad_norm": 7.144813537597656,
|
| 35 |
+
"learning_rate": 1.9994755420143098e-05,
|
| 36 |
+
"loss": 4.3351,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.01288693007551741,
|
| 41 |
+
"grad_norm": 8.365111351013184,
|
| 42 |
+
"learning_rate": 1.9991805746922256e-05,
|
| 43 |
+
"loss": 4.2724,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.015464316090620892,
|
| 48 |
+
"grad_norm": 7.080021858215332,
|
| 49 |
+
"learning_rate": 1.9988200984726704e-05,
|
| 50 |
+
"loss": 4.2445,
|
| 51 |
+
"step": 600
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.018041702105724373,
|
| 55 |
+
"grad_norm": 6.548303604125977,
|
| 56 |
+
"learning_rate": 1.9983941369894103e-05,
|
| 57 |
+
"loss": 4.1809,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.020619088120827855,
|
| 62 |
+
"grad_norm": 7.122159004211426,
|
| 63 |
+
"learning_rate": 1.9979027181695964e-05,
|
| 64 |
+
"loss": 4.1645,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.023196474135931337,
|
| 69 |
+
"grad_norm": 6.51261043548584,
|
| 70 |
+
"learning_rate": 1.997345874231934e-05,
|
| 71 |
+
"loss": 4.1619,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.02577386015103482,
|
| 76 |
+
"grad_norm": 5.71166467666626,
|
| 77 |
+
"learning_rate": 1.9967236416845723e-05,
|
| 78 |
+
"loss": 4.107,
|
| 79 |
+
"step": 1000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0283512461661383,
|
| 83 |
+
"grad_norm": 3.7813191413879395,
|
| 84 |
+
"learning_rate": 1.9960360613227073e-05,
|
| 85 |
+
"loss": 4.1232,
|
| 86 |
+
"step": 1100
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.030928632181241783,
|
| 90 |
+
"grad_norm": 5.60939884185791,
|
| 91 |
+
"learning_rate": 1.9952831782259102e-05,
|
| 92 |
+
"loss": 4.0683,
|
| 93 |
+
"step": 1200
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.033506018196345265,
|
| 97 |
+
"grad_norm": 4.751799583435059,
|
| 98 |
+
"learning_rate": 1.9944650417551697e-05,
|
| 99 |
+
"loss": 4.0364,
|
| 100 |
+
"step": 1300
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.03608340421144875,
|
| 104 |
+
"grad_norm": 4.849961757659912,
|
| 105 |
+
"learning_rate": 1.9935817055496582e-05,
|
| 106 |
+
"loss": 4.0232,
|
| 107 |
+
"step": 1400
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.03866079022655223,
|
| 111 |
+
"grad_norm": 10.232589721679688,
|
| 112 |
+
"learning_rate": 1.9926332275232118e-05,
|
| 113 |
+
"loss": 4.0462,
|
| 114 |
+
"step": 1500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.04123817624165571,
|
| 118 |
+
"grad_norm": 5.628584861755371,
|
| 119 |
+
"learning_rate": 1.9916196698605365e-05,
|
| 120 |
+
"loss": 4.0269,
|
| 121 |
+
"step": 1600
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.04381556225675919,
|
| 125 |
+
"grad_norm": 6.3729023933410645,
|
| 126 |
+
"learning_rate": 1.9905410990131288e-05,
|
| 127 |
+
"loss": 4.0261,
|
| 128 |
+
"step": 1700
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.046392948271862675,
|
| 132 |
+
"grad_norm": 13.790914535522461,
|
| 133 |
+
"learning_rate": 1.9893975856949214e-05,
|
| 134 |
+
"loss": 4.0384,
|
| 135 |
+
"step": 1800
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.048970334286966156,
|
| 139 |
+
"grad_norm": 5.821386814117432,
|
| 140 |
+
"learning_rate": 1.9881892048776438e-05,
|
| 141 |
+
"loss": 3.9888,
|
| 142 |
+
"step": 1900
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.05154772030206964,
|
| 146 |
+
"grad_norm": 5.143034934997559,
|
| 147 |
+
"learning_rate": 1.9869160357859104e-05,
|
| 148 |
+
"loss": 3.9859,
|
| 149 |
+
"step": 2000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.05412510631717312,
|
| 153 |
+
"grad_norm": 6.914301872253418,
|
| 154 |
+
"learning_rate": 1.9855781618920237e-05,
|
| 155 |
+
"loss": 3.9585,
|
| 156 |
+
"step": 2100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0567024923322766,
|
| 160 |
+
"grad_norm": 4.653666973114014,
|
| 161 |
+
"learning_rate": 1.9841756709105033e-05,
|
| 162 |
+
"loss": 3.995,
|
| 163 |
+
"step": 2200
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.059279878347380084,
|
| 167 |
+
"grad_norm": 5.750068187713623,
|
| 168 |
+
"learning_rate": 1.9827086547923337e-05,
|
| 169 |
+
"loss": 3.9451,
|
| 170 |
+
"step": 2300
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.061857264362483566,
|
| 174 |
+
"grad_norm": 4.804409027099609,
|
| 175 |
+
"learning_rate": 1.981177209718937e-05,
|
| 176 |
+
"loss": 4.0006,
|
| 177 |
+
"step": 2400
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.06443465037758705,
|
| 181 |
+
"grad_norm": 7.0191450119018555,
|
| 182 |
+
"learning_rate": 1.979581436095866e-05,
|
| 183 |
+
"loss": 3.9107,
|
| 184 |
+
"step": 2500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.06701203639269053,
|
| 188 |
+
"grad_norm": 5.063206672668457,
|
| 189 |
+
"learning_rate": 1.977921438546223e-05,
|
| 190 |
+
"loss": 3.9185,
|
| 191 |
+
"step": 2600
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.06958942240779402,
|
| 195 |
+
"grad_norm": 4.46260404586792,
|
| 196 |
+
"learning_rate": 1.9761973259037977e-05,
|
| 197 |
+
"loss": 3.9394,
|
| 198 |
+
"step": 2700
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.0721668084228975,
|
| 202 |
+
"grad_norm": 2.9971110820770264,
|
| 203 |
+
"learning_rate": 1.9744092112059343e-05,
|
| 204 |
+
"loss": 3.9209,
|
| 205 |
+
"step": 2800
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.07474419443800098,
|
| 209 |
+
"grad_norm": 4.661226272583008,
|
| 210 |
+
"learning_rate": 1.9725572116861195e-05,
|
| 211 |
+
"loss": 3.9242,
|
| 212 |
+
"step": 2900
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.07732158045310446,
|
| 216 |
+
"grad_norm": 5.58400821685791,
|
| 217 |
+
"learning_rate": 1.970641448766296e-05,
|
| 218 |
+
"loss": 3.9184,
|
| 219 |
+
"step": 3000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.07989896646820795,
|
| 223 |
+
"grad_norm": 3.0768227577209473,
|
| 224 |
+
"learning_rate": 1.968662048048902e-05,
|
| 225 |
+
"loss": 3.8866,
|
| 226 |
+
"step": 3100
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.08247635248331142,
|
| 230 |
+
"grad_norm": 4.183335304260254,
|
| 231 |
+
"learning_rate": 1.9666191393086375e-05,
|
| 232 |
+
"loss": 3.9327,
|
| 233 |
+
"step": 3200
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.08505373849841491,
|
| 237 |
+
"grad_norm": 3.9296393394470215,
|
| 238 |
+
"learning_rate": 1.9645128564839536e-05,
|
| 239 |
+
"loss": 3.8457,
|
| 240 |
+
"step": 3300
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.08763112451351839,
|
| 244 |
+
"grad_norm": 4.4432525634765625,
|
| 245 |
+
"learning_rate": 1.9623433376682737e-05,
|
| 246 |
+
"loss": 3.8371,
|
| 247 |
+
"step": 3400
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.09020851052862187,
|
| 251 |
+
"grad_norm": 3.211374521255493,
|
| 252 |
+
"learning_rate": 1.9601107251009378e-05,
|
| 253 |
+
"loss": 3.8415,
|
| 254 |
+
"step": 3500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.09278589654372535,
|
| 258 |
+
"grad_norm": 4.455361843109131,
|
| 259 |
+
"learning_rate": 1.9578151651578774e-05,
|
| 260 |
+
"loss": 3.86,
|
| 261 |
+
"step": 3600
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.09536328255882884,
|
| 265 |
+
"grad_norm": 4.47145414352417,
|
| 266 |
+
"learning_rate": 1.95545680834202e-05,
|
| 267 |
+
"loss": 3.8462,
|
| 268 |
+
"step": 3700
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.09794066857393231,
|
| 272 |
+
"grad_norm": 5.741458892822266,
|
| 273 |
+
"learning_rate": 1.9530358092734194e-05,
|
| 274 |
+
"loss": 3.8461,
|
| 275 |
+
"step": 3800
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.1005180545890358,
|
| 279 |
+
"grad_norm": 8.224906921386719,
|
| 280 |
+
"learning_rate": 1.950552326679121e-05,
|
| 281 |
+
"loss": 3.8081,
|
| 282 |
+
"step": 3900
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.10309544060413928,
|
| 286 |
+
"grad_norm": 6.364991188049316,
|
| 287 |
+
"learning_rate": 1.9480065233827525e-05,
|
| 288 |
+
"loss": 3.8821,
|
| 289 |
+
"step": 4000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.10567282661924277,
|
| 293 |
+
"grad_norm": 3.671194553375244,
|
| 294 |
+
"learning_rate": 1.9453985662938514e-05,
|
| 295 |
+
"loss": 3.8434,
|
| 296 |
+
"step": 4100
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.10825021263434624,
|
| 300 |
+
"grad_norm": 4.400032997131348,
|
| 301 |
+
"learning_rate": 1.9427286263969207e-05,
|
| 302 |
+
"loss": 3.8335,
|
| 303 |
+
"step": 4200
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.11082759864944973,
|
| 307 |
+
"grad_norm": 3.351066827774048,
|
| 308 |
+
"learning_rate": 1.939996878740217e-05,
|
| 309 |
+
"loss": 3.8544,
|
| 310 |
+
"step": 4300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.1134049846645532,
|
| 314 |
+
"grad_norm": 2.9429101943969727,
|
| 315 |
+
"learning_rate": 1.937203502424278e-05,
|
| 316 |
+
"loss": 3.8299,
|
| 317 |
+
"step": 4400
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.1159823706796567,
|
| 321 |
+
"grad_norm": 3.3668315410614014,
|
| 322 |
+
"learning_rate": 1.934348680590177e-05,
|
| 323 |
+
"loss": 3.8405,
|
| 324 |
+
"step": 4500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.11855975669476017,
|
| 328 |
+
"grad_norm": 4.1787214279174805,
|
| 329 |
+
"learning_rate": 1.9314326004075157e-05,
|
| 330 |
+
"loss": 3.8509,
|
| 331 |
+
"step": 4600
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.12113714270986366,
|
| 335 |
+
"grad_norm": 2.7704379558563232,
|
| 336 |
+
"learning_rate": 1.9284554530621546e-05,
|
| 337 |
+
"loss": 3.8083,
|
| 338 |
+
"step": 4700
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.12371452872496713,
|
| 342 |
+
"grad_norm": 3.713585615158081,
|
| 343 |
+
"learning_rate": 1.9254174337436772e-05,
|
| 344 |
+
"loss": 3.8281,
|
| 345 |
+
"step": 4800
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.12629191474007062,
|
| 349 |
+
"grad_norm": 3.7312045097351074,
|
| 350 |
+
"learning_rate": 1.922318741632593e-05,
|
| 351 |
+
"loss": 3.7707,
|
| 352 |
+
"step": 4900
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.1288693007551741,
|
| 356 |
+
"grad_norm": 3.2040700912475586,
|
| 357 |
+
"learning_rate": 1.919159579887279e-05,
|
| 358 |
+
"loss": 3.8147,
|
| 359 |
+
"step": 5000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.13144668677027757,
|
| 363 |
+
"grad_norm": 3.3190503120422363,
|
| 364 |
+
"learning_rate": 1.9159401556306595e-05,
|
| 365 |
+
"loss": 3.8192,
|
| 366 |
+
"step": 5100
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.13402407278538106,
|
| 370 |
+
"grad_norm": 6.929914951324463,
|
| 371 |
+
"learning_rate": 1.9126606799366284e-05,
|
| 372 |
+
"loss": 3.8269,
|
| 373 |
+
"step": 5200
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.13660145880048455,
|
| 377 |
+
"grad_norm": 3.321101427078247,
|
| 378 |
+
"learning_rate": 1.9093213678162066e-05,
|
| 379 |
+
"loss": 3.8047,
|
| 380 |
+
"step": 5300
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.13917884481558804,
|
| 384 |
+
"grad_norm": 3.273574113845825,
|
| 385 |
+
"learning_rate": 1.9059224382034507e-05,
|
| 386 |
+
"loss": 3.7599,
|
| 387 |
+
"step": 5400
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.14175623083069153,
|
| 391 |
+
"grad_norm": 3.5962255001068115,
|
| 392 |
+
"learning_rate": 1.9024641139410947e-05,
|
| 393 |
+
"loss": 3.7657,
|
| 394 |
+
"step": 5500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.144333616845795,
|
| 398 |
+
"grad_norm": 5.053091526031494,
|
| 399 |
+
"learning_rate": 1.8989466217659426e-05,
|
| 400 |
+
"loss": 3.7927,
|
| 401 |
+
"step": 5600
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.14691100286089848,
|
| 405 |
+
"grad_norm": 3.2491798400878906,
|
| 406 |
+
"learning_rate": 1.8953701922940002e-05,
|
| 407 |
+
"loss": 3.7847,
|
| 408 |
+
"step": 5700
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.14948838887600197,
|
| 412 |
+
"grad_norm": 3.0496296882629395,
|
| 413 |
+
"learning_rate": 1.891735060005359e-05,
|
| 414 |
+
"loss": 3.7791,
|
| 415 |
+
"step": 5800
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.15206577489110545,
|
| 419 |
+
"grad_norm": 5.10418176651001,
|
| 420 |
+
"learning_rate": 1.8880414632288192e-05,
|
| 421 |
+
"loss": 3.7858,
|
| 422 |
+
"step": 5900
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.15464316090620892,
|
| 426 |
+
"grad_norm": 2.608537197113037,
|
| 427 |
+
"learning_rate": 1.8842896441262676e-05,
|
| 428 |
+
"loss": 3.8028,
|
| 429 |
+
"step": 6000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.1572205469213124,
|
| 433 |
+
"grad_norm": 3.8968887329101562,
|
| 434 |
+
"learning_rate": 1.8804798486767982e-05,
|
| 435 |
+
"loss": 3.7743,
|
| 436 |
+
"step": 6100
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.1597979329364159,
|
| 440 |
+
"grad_norm": 3.222698211669922,
|
| 441 |
+
"learning_rate": 1.876612326660587e-05,
|
| 442 |
+
"loss": 3.7533,
|
| 443 |
+
"step": 6200
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.16237531895151938,
|
| 447 |
+
"grad_norm": 4.592376708984375,
|
| 448 |
+
"learning_rate": 1.8726873316425144e-05,
|
| 449 |
+
"loss": 3.7959,
|
| 450 |
+
"step": 6300
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.16495270496662284,
|
| 454 |
+
"grad_norm": 2.7290849685668945,
|
| 455 |
+
"learning_rate": 1.868705120955542e-05,
|
| 456 |
+
"loss": 3.7809,
|
| 457 |
+
"step": 6400
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.16753009098172633,
|
| 461 |
+
"grad_norm": 3.5503175258636475,
|
| 462 |
+
"learning_rate": 1.8646659556838402e-05,
|
| 463 |
+
"loss": 3.7966,
|
| 464 |
+
"step": 6500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.17010747699682982,
|
| 468 |
+
"grad_norm": 3.99653697013855,
|
| 469 |
+
"learning_rate": 1.8605701006456715e-05,
|
| 470 |
+
"loss": 3.7535,
|
| 471 |
+
"step": 6600
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.1726848630119333,
|
| 475 |
+
"grad_norm": 3.359206438064575,
|
| 476 |
+
"learning_rate": 1.856417824376028e-05,
|
| 477 |
+
"loss": 3.7591,
|
| 478 |
+
"step": 6700
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.17526224902703677,
|
| 482 |
+
"grad_norm": 2.2579879760742188,
|
| 483 |
+
"learning_rate": 1.8522093991090257e-05,
|
| 484 |
+
"loss": 3.7592,
|
| 485 |
+
"step": 6800
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.17783963504214026,
|
| 489 |
+
"grad_norm": 3.171557664871216,
|
| 490 |
+
"learning_rate": 1.8479451007600563e-05,
|
| 491 |
+
"loss": 3.7203,
|
| 492 |
+
"step": 6900
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.18041702105724375,
|
| 496 |
+
"grad_norm": 3.812851667404175,
|
| 497 |
+
"learning_rate": 1.843625208907696e-05,
|
| 498 |
+
"loss": 3.7547,
|
| 499 |
+
"step": 7000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.18299440707234724,
|
| 503 |
+
"grad_norm": 3.115205764770508,
|
| 504 |
+
"learning_rate": 1.8392500067753783e-05,
|
| 505 |
+
"loss": 3.7819,
|
| 506 |
+
"step": 7100
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.1855717930874507,
|
| 510 |
+
"grad_norm": 3.6256558895111084,
|
| 511 |
+
"learning_rate": 1.8348197812128234e-05,
|
| 512 |
+
"loss": 3.7779,
|
| 513 |
+
"step": 7200
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.1881491791025542,
|
| 517 |
+
"grad_norm": 3.5836474895477295,
|
| 518 |
+
"learning_rate": 1.830334822677231e-05,
|
| 519 |
+
"loss": 3.6984,
|
| 520 |
+
"step": 7300
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.19072656511765768,
|
| 524 |
+
"grad_norm": 3.9070522785186768,
|
| 525 |
+
"learning_rate": 1.825795425214238e-05,
|
| 526 |
+
"loss": 3.7311,
|
| 527 |
+
"step": 7400
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.19330395113276116,
|
| 531 |
+
"grad_norm": 2.9373161792755127,
|
| 532 |
+
"learning_rate": 1.8212018864386413e-05,
|
| 533 |
+
"loss": 3.7671,
|
| 534 |
+
"step": 7500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.19588133714786463,
|
| 538 |
+
"grad_norm": 2.813357353210449,
|
| 539 |
+
"learning_rate": 1.8165545075148825e-05,
|
| 540 |
+
"loss": 3.7449,
|
| 541 |
+
"step": 7600
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.19845872316296811,
|
| 545 |
+
"grad_norm": 3.053895950317383,
|
| 546 |
+
"learning_rate": 1.8118535931373056e-05,
|
| 547 |
+
"loss": 3.7667,
|
| 548 |
+
"step": 7700
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.2010361091780716,
|
| 552 |
+
"grad_norm": 2.826585531234741,
|
| 553 |
+
"learning_rate": 1.8070994515101796e-05,
|
| 554 |
+
"loss": 3.7452,
|
| 555 |
+
"step": 7800
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.2036134951931751,
|
| 559 |
+
"grad_norm": 3.5855720043182373,
|
| 560 |
+
"learning_rate": 1.80229239432749e-05,
|
| 561 |
+
"loss": 3.6858,
|
| 562 |
+
"step": 7900
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.20619088120827855,
|
| 566 |
+
"grad_norm": 4.009027004241943,
|
| 567 |
+
"learning_rate": 1.797432736752506e-05,
|
| 568 |
+
"loss": 3.7474,
|
| 569 |
+
"step": 8000
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.20876826722338204,
|
| 573 |
+
"grad_norm": 2.856401205062866,
|
| 574 |
+
"learning_rate": 1.7925207973971163e-05,
|
| 575 |
+
"loss": 3.7362,
|
| 576 |
+
"step": 8100
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.21134565323848553,
|
| 580 |
+
"grad_norm": 2.884099006652832,
|
| 581 |
+
"learning_rate": 1.7875568983009394e-05,
|
| 582 |
+
"loss": 3.7292,
|
| 583 |
+
"step": 8200
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.21392303925358902,
|
| 587 |
+
"grad_norm": 3.0067903995513916,
|
| 588 |
+
"learning_rate": 1.7825413649102116e-05,
|
| 589 |
+
"loss": 3.6891,
|
| 590 |
+
"step": 8300
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.21650042526869248,
|
| 594 |
+
"grad_norm": 2.863363027572632,
|
| 595 |
+
"learning_rate": 1.777474526056448e-05,
|
| 596 |
+
"loss": 3.6972,
|
| 597 |
+
"step": 8400
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.21907781128379597,
|
| 601 |
+
"grad_norm": 4.317652225494385,
|
| 602 |
+
"learning_rate": 1.7723567139348853e-05,
|
| 603 |
+
"loss": 3.7539,
|
| 604 |
+
"step": 8500
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.22165519729889946,
|
| 608 |
+
"grad_norm": 3.0580854415893555,
|
| 609 |
+
"learning_rate": 1.7671882640827e-05,
|
| 610 |
+
"loss": 3.6936,
|
| 611 |
+
"step": 8600
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.22423258331400295,
|
| 615 |
+
"grad_norm": 4.251198768615723,
|
| 616 |
+
"learning_rate": 1.7619695153570126e-05,
|
| 617 |
+
"loss": 3.6885,
|
| 618 |
+
"step": 8700
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.2268099693291064,
|
| 622 |
+
"grad_norm": 2.991900682449341,
|
| 623 |
+
"learning_rate": 1.756700809912668e-05,
|
| 624 |
+
"loss": 3.7305,
|
| 625 |
+
"step": 8800
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.2293873553442099,
|
| 629 |
+
"grad_norm": 3.1725871562957764,
|
| 630 |
+
"learning_rate": 1.7513824931798045e-05,
|
| 631 |
+
"loss": 3.7164,
|
| 632 |
+
"step": 8900
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.2319647413593134,
|
| 636 |
+
"grad_norm": 3.6342945098876953,
|
| 637 |
+
"learning_rate": 1.746014913841209e-05,
|
| 638 |
+
"loss": 3.7428,
|
| 639 |
+
"step": 9000
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.23454212737441688,
|
| 643 |
+
"grad_norm": 3.3490030765533447,
|
| 644 |
+
"learning_rate": 1.7405984238094502e-05,
|
| 645 |
+
"loss": 3.7355,
|
| 646 |
+
"step": 9100
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.23711951338952034,
|
| 650 |
+
"grad_norm": 3.2090468406677246,
|
| 651 |
+
"learning_rate": 1.7351333782038132e-05,
|
| 652 |
+
"loss": 3.7797,
|
| 653 |
+
"step": 9200
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.23969689940462383,
|
| 657 |
+
"grad_norm": 3.1655192375183105,
|
| 658 |
+
"learning_rate": 1.7296201353270122e-05,
|
| 659 |
+
"loss": 3.6629,
|
| 660 |
+
"step": 9300
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.24227428541972731,
|
| 664 |
+
"grad_norm": 2.3775510787963867,
|
| 665 |
+
"learning_rate": 1.7240590566417012e-05,
|
| 666 |
+
"loss": 3.7094,
|
| 667 |
+
"step": 9400
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.2448516714348308,
|
| 671 |
+
"grad_norm": 5.21035099029541,
|
| 672 |
+
"learning_rate": 1.7184505067467748e-05,
|
| 673 |
+
"loss": 3.7144,
|
| 674 |
+
"step": 9500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.24742905744993426,
|
| 678 |
+
"grad_norm": 2.4014949798583984,
|
| 679 |
+
"learning_rate": 1.7127948533534656e-05,
|
| 680 |
+
"loss": 3.7206,
|
| 681 |
+
"step": 9600
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.25000644346503775,
|
| 685 |
+
"grad_norm": 4.319427013397217,
|
| 686 |
+
"learning_rate": 1.707092467261234e-05,
|
| 687 |
+
"loss": 3.6599,
|
| 688 |
+
"step": 9700
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.25258382948014124,
|
| 692 |
+
"grad_norm": 2.936662197113037,
|
| 693 |
+
"learning_rate": 1.701343722333459e-05,
|
| 694 |
+
"loss": 3.7265,
|
| 695 |
+
"step": 9800
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.25516121549524473,
|
| 699 |
+
"grad_norm": 2.9882149696350098,
|
| 700 |
+
"learning_rate": 1.6955489954729263e-05,
|
| 701 |
+
"loss": 3.6637,
|
| 702 |
+
"step": 9900
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.2577386015103482,
|
| 706 |
+
"grad_norm": 4.467193603515625,
|
| 707 |
+
"learning_rate": 1.6897086665971177e-05,
|
| 708 |
+
"loss": 3.6627,
|
| 709 |
+
"step": 10000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.2603159875254517,
|
| 713 |
+
"grad_norm": 3.2191989421844482,
|
| 714 |
+
"learning_rate": 1.6838231186133026e-05,
|
| 715 |
+
"loss": 3.718,
|
| 716 |
+
"step": 10100
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.26289337354055514,
|
| 720 |
+
"grad_norm": 3.03230619430542,
|
| 721 |
+
"learning_rate": 1.677892737393434e-05,
|
| 722 |
+
"loss": 3.6672,
|
| 723 |
+
"step": 10200
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.26547075955565863,
|
| 727 |
+
"grad_norm": 3.170508861541748,
|
| 728 |
+
"learning_rate": 1.6719179117488484e-05,
|
| 729 |
+
"loss": 3.6529,
|
| 730 |
+
"step": 10300
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.2680481455707621,
|
| 734 |
+
"grad_norm": 2.8415744304656982,
|
| 735 |
+
"learning_rate": 1.6658990334047765e-05,
|
| 736 |
+
"loss": 3.6545,
|
| 737 |
+
"step": 10400
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.2706255315858656,
|
| 741 |
+
"grad_norm": 2.6031301021575928,
|
| 742 |
+
"learning_rate": 1.6598364969746583e-05,
|
| 743 |
+
"loss": 3.6934,
|
| 744 |
+
"step": 10500
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.2732029176009691,
|
| 748 |
+
"grad_norm": 3.735369920730591,
|
| 749 |
+
"learning_rate": 1.6537306999342737e-05,
|
| 750 |
+
"loss": 3.6623,
|
| 751 |
+
"step": 10600
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.2757803036160726,
|
| 755 |
+
"grad_norm": 3.3953819274902344,
|
| 756 |
+
"learning_rate": 1.64758204259568e-05,
|
| 757 |
+
"loss": 3.6379,
|
| 758 |
+
"step": 10700
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.2783576896311761,
|
| 762 |
+
"grad_norm": 2.498640775680542,
|
| 763 |
+
"learning_rate": 1.6413909280809694e-05,
|
| 764 |
+
"loss": 3.7102,
|
| 765 |
+
"step": 10800
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.28093507564627956,
|
| 769 |
+
"grad_norm": 4.008251667022705,
|
| 770 |
+
"learning_rate": 1.6351577622958372e-05,
|
| 771 |
+
"loss": 3.695,
|
| 772 |
+
"step": 10900
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.28351246166138305,
|
| 776 |
+
"grad_norm": 2.9386963844299316,
|
| 777 |
+
"learning_rate": 1.6288829539029702e-05,
|
| 778 |
+
"loss": 3.6649,
|
| 779 |
+
"step": 11000
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.2860898476764865,
|
| 783 |
+
"grad_norm": 2.8826704025268555,
|
| 784 |
+
"learning_rate": 1.622566914295254e-05,
|
| 785 |
+
"loss": 3.6714,
|
| 786 |
+
"step": 11100
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.28866723369159,
|
| 790 |
+
"grad_norm": 2.6754064559936523,
|
| 791 |
+
"learning_rate": 1.6162100575688e-05,
|
| 792 |
+
"loss": 3.6472,
|
| 793 |
+
"step": 11200
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.29124461970669346,
|
| 797 |
+
"grad_norm": 2.838592290878296,
|
| 798 |
+
"learning_rate": 1.609812800495798e-05,
|
| 799 |
+
"loss": 3.6456,
|
| 800 |
+
"step": 11300
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.29382200572179695,
|
| 804 |
+
"grad_norm": 3.8321444988250732,
|
| 805 |
+
"learning_rate": 1.6033755624971892e-05,
|
| 806 |
+
"loss": 3.6491,
|
| 807 |
+
"step": 11400
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.29639939173690044,
|
| 811 |
+
"grad_norm": 3.397690534591675,
|
| 812 |
+
"learning_rate": 1.59689876561517e-05,
|
| 813 |
+
"loss": 3.7191,
|
| 814 |
+
"step": 11500
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.29897677775200393,
|
| 818 |
+
"grad_norm": 2.250105142593384,
|
| 819 |
+
"learning_rate": 1.590382834485521e-05,
|
| 820 |
+
"loss": 3.6709,
|
| 821 |
+
"step": 11600
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.3015541637671074,
|
| 825 |
+
"grad_norm": 4.159366130828857,
|
| 826 |
+
"learning_rate": 1.5838281963097656e-05,
|
| 827 |
+
"loss": 3.6759,
|
| 828 |
+
"step": 11700
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.3041315497822109,
|
| 832 |
+
"grad_norm": 3.2084805965423584,
|
| 833 |
+
"learning_rate": 1.577235280827164e-05,
|
| 834 |
+
"loss": 3.6618,
|
| 835 |
+
"step": 11800
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.30670893579731434,
|
| 839 |
+
"grad_norm": 3.905651092529297,
|
| 840 |
+
"learning_rate": 1.570604520286535e-05,
|
| 841 |
+
"loss": 3.6596,
|
| 842 |
+
"step": 11900
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.30928632181241783,
|
| 846 |
+
"grad_norm": 2.8599586486816406,
|
| 847 |
+
"learning_rate": 1.5639363494179208e-05,
|
| 848 |
+
"loss": 3.6553,
|
| 849 |
+
"step": 12000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.3118637078275213,
|
| 853 |
+
"grad_norm": 3.940213441848755,
|
| 854 |
+
"learning_rate": 1.557231205404082e-05,
|
| 855 |
+
"loss": 3.6861,
|
| 856 |
+
"step": 12100
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.3144410938426248,
|
| 860 |
+
"grad_norm": 3.514432907104492,
|
| 861 |
+
"learning_rate": 1.5504895278518342e-05,
|
| 862 |
+
"loss": 3.6265,
|
| 863 |
+
"step": 12200
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.3170184798577283,
|
| 867 |
+
"grad_norm": 2.594841241836548,
|
| 868 |
+
"learning_rate": 1.5437117587632297e-05,
|
| 869 |
+
"loss": 3.6455,
|
| 870 |
+
"step": 12300
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.3195958658728318,
|
| 874 |
+
"grad_norm": 2.735835552215576,
|
| 875 |
+
"learning_rate": 1.5368983425065746e-05,
|
| 876 |
+
"loss": 3.6544,
|
| 877 |
+
"step": 12400
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.3221732518879353,
|
| 881 |
+
"grad_norm": 2.8041157722473145,
|
| 882 |
+
"learning_rate": 1.530049725787298e-05,
|
| 883 |
+
"loss": 3.6342,
|
| 884 |
+
"step": 12500
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.32475063790303876,
|
| 888 |
+
"grad_norm": 3.4744675159454346,
|
| 889 |
+
"learning_rate": 1.5231663576186631e-05,
|
| 890 |
+
"loss": 3.6536,
|
| 891 |
+
"step": 12600
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.3273280239181422,
|
| 895 |
+
"grad_norm": 2.935953140258789,
|
| 896 |
+
"learning_rate": 1.5162486892923298e-05,
|
| 897 |
+
"loss": 3.6862,
|
| 898 |
+
"step": 12700
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.3299054099332457,
|
| 902 |
+
"grad_norm": 2.600081205368042,
|
| 903 |
+
"learning_rate": 1.509297174348765e-05,
|
| 904 |
+
"loss": 3.6311,
|
| 905 |
+
"step": 12800
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.3324827959483492,
|
| 909 |
+
"grad_norm": 2.569611072540283,
|
| 910 |
+
"learning_rate": 1.50231226854751e-05,
|
| 911 |
+
"loss": 3.6179,
|
| 912 |
+
"step": 12900
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.33506018196345266,
|
| 916 |
+
"grad_norm": 2.4711806774139404,
|
| 917 |
+
"learning_rate": 1.4952944298372969e-05,
|
| 918 |
+
"loss": 3.6374,
|
| 919 |
+
"step": 13000
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.33763756797855615,
|
| 923 |
+
"grad_norm": 4.4129252433776855,
|
| 924 |
+
"learning_rate": 1.4882441183260268e-05,
|
| 925 |
+
"loss": 3.6569,
|
| 926 |
+
"step": 13100
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.34021495399365964,
|
| 930 |
+
"grad_norm": 3.789003372192383,
|
| 931 |
+
"learning_rate": 1.481161796250602e-05,
|
| 932 |
+
"loss": 3.6162,
|
| 933 |
+
"step": 13200
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.34279234000876313,
|
| 937 |
+
"grad_norm": 2.3068277835845947,
|
| 938 |
+
"learning_rate": 1.4740479279466215e-05,
|
| 939 |
+
"loss": 3.6363,
|
| 940 |
+
"step": 13300
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.3453697260238666,
|
| 944 |
+
"grad_norm": 2.4332969188690186,
|
| 945 |
+
"learning_rate": 1.4669029798179382e-05,
|
| 946 |
+
"loss": 3.6408,
|
| 947 |
+
"step": 13400
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.34794711203897005,
|
| 951 |
+
"grad_norm": 6.318627834320068,
|
| 952 |
+
"learning_rate": 1.459727420306079e-05,
|
| 953 |
+
"loss": 3.6059,
|
| 954 |
+
"step": 13500
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.35052449805407354,
|
| 958 |
+
"grad_norm": 3.4904539585113525,
|
| 959 |
+
"learning_rate": 1.4525217198595334e-05,
|
| 960 |
+
"loss": 3.5991,
|
| 961 |
+
"step": 13600
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.35310188406917703,
|
| 965 |
+
"grad_norm": 3.7250900268554688,
|
| 966 |
+
"learning_rate": 1.4452863509029106e-05,
|
| 967 |
+
"loss": 3.6106,
|
| 968 |
+
"step": 13700
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.3556792700842805,
|
| 972 |
+
"grad_norm": 3.034858465194702,
|
| 973 |
+
"learning_rate": 1.4380217878059632e-05,
|
| 974 |
+
"loss": 3.6258,
|
| 975 |
+
"step": 13800
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.358256656099384,
|
| 979 |
+
"grad_norm": 3.054669141769409,
|
| 980 |
+
"learning_rate": 1.4307285068524903e-05,
|
| 981 |
+
"loss": 3.6351,
|
| 982 |
+
"step": 13900
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.3608340421144875,
|
| 986 |
+
"grad_norm": 2.3272745609283447,
|
| 987 |
+
"learning_rate": 1.4234069862091074e-05,
|
| 988 |
+
"loss": 3.6291,
|
| 989 |
+
"step": 14000
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.363411428129591,
|
| 993 |
+
"grad_norm": 3.465676784515381,
|
| 994 |
+
"learning_rate": 1.4160577058938989e-05,
|
| 995 |
+
"loss": 3.6105,
|
| 996 |
+
"step": 14100
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.3659888141446945,
|
| 1000 |
+
"grad_norm": 2.5440266132354736,
|
| 1001 |
+
"learning_rate": 1.4086811477449457e-05,
|
| 1002 |
+
"loss": 3.6194,
|
| 1003 |
+
"step": 14200
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.3685662001597979,
|
| 1007 |
+
"grad_norm": 2.803445339202881,
|
| 1008 |
+
"learning_rate": 1.401277795388735e-05,
|
| 1009 |
+
"loss": 3.6308,
|
| 1010 |
+
"step": 14300
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.3711435861749014,
|
| 1014 |
+
"grad_norm": 2.846573829650879,
|
| 1015 |
+
"learning_rate": 1.3938481342084527e-05,
|
| 1016 |
+
"loss": 3.6011,
|
| 1017 |
+
"step": 14400
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.3737209721900049,
|
| 1021 |
+
"grad_norm": 3.638376235961914,
|
| 1022 |
+
"learning_rate": 1.3863926513121594e-05,
|
| 1023 |
+
"loss": 3.5977,
|
| 1024 |
+
"step": 14500
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.3762983582051084,
|
| 1028 |
+
"grad_norm": 2.989871025085449,
|
| 1029 |
+
"learning_rate": 1.3789118355008566e-05,
|
| 1030 |
+
"loss": 3.6124,
|
| 1031 |
+
"step": 14600
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.37887574422021186,
|
| 1035 |
+
"grad_norm": 3.3215386867523193,
|
| 1036 |
+
"learning_rate": 1.3714061772364362e-05,
|
| 1037 |
+
"loss": 3.5909,
|
| 1038 |
+
"step": 14700
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.38145313023531535,
|
| 1042 |
+
"grad_norm": 3.1499135494232178,
|
| 1043 |
+
"learning_rate": 1.3638761686095282e-05,
|
| 1044 |
+
"loss": 3.6234,
|
| 1045 |
+
"step": 14800
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.38403051625041884,
|
| 1049 |
+
"grad_norm": 3.416022539138794,
|
| 1050 |
+
"learning_rate": 1.3563223033072346e-05,
|
| 1051 |
+
"loss": 3.5913,
|
| 1052 |
+
"step": 14900
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.38660790226552233,
|
| 1056 |
+
"grad_norm": 2.7528514862060547,
|
| 1057 |
+
"learning_rate": 1.348745076580765e-05,
|
| 1058 |
+
"loss": 3.5846,
|
| 1059 |
+
"step": 15000
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.38918528828062576,
|
| 1063 |
+
"grad_norm": 2.9281253814697266,
|
| 1064 |
+
"learning_rate": 1.3411449852129645e-05,
|
| 1065 |
+
"loss": 3.6016,
|
| 1066 |
+
"step": 15100
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.39176267429572925,
|
| 1070 |
+
"grad_norm": 3.0757687091827393,
|
| 1071 |
+
"learning_rate": 1.333522527485744e-05,
|
| 1072 |
+
"loss": 3.608,
|
| 1073 |
+
"step": 15200
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.39434006031083274,
|
| 1077 |
+
"grad_norm": 2.3136041164398193,
|
| 1078 |
+
"learning_rate": 1.3258782031474116e-05,
|
| 1079 |
+
"loss": 3.5907,
|
| 1080 |
+
"step": 15300
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.39691744632593623,
|
| 1084 |
+
"grad_norm": 5.2783989906311035,
|
| 1085 |
+
"learning_rate": 1.3182125133799078e-05,
|
| 1086 |
+
"loss": 3.6164,
|
| 1087 |
+
"step": 15400
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.3994948323410397,
|
| 1091 |
+
"grad_norm": 2.7335734367370605,
|
| 1092 |
+
"learning_rate": 1.3105259607659464e-05,
|
| 1093 |
+
"loss": 3.5992,
|
| 1094 |
+
"step": 15500
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.4020722183561432,
|
| 1098 |
+
"grad_norm": 2.8438055515289307,
|
| 1099 |
+
"learning_rate": 1.3028190492560648e-05,
|
| 1100 |
+
"loss": 3.5761,
|
| 1101 |
+
"step": 15600
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.4046496043712467,
|
| 1105 |
+
"grad_norm": 2.4809439182281494,
|
| 1106 |
+
"learning_rate": 1.2950922841355823e-05,
|
| 1107 |
+
"loss": 3.5709,
|
| 1108 |
+
"step": 15700
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.4072269903863502,
|
| 1112 |
+
"grad_norm": 2.29386043548584,
|
| 1113 |
+
"learning_rate": 1.287346171991473e-05,
|
| 1114 |
+
"loss": 3.593,
|
| 1115 |
+
"step": 15800
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.4098043764014536,
|
| 1119 |
+
"grad_norm": 3.2106361389160156,
|
| 1120 |
+
"learning_rate": 1.2795812206791527e-05,
|
| 1121 |
+
"loss": 3.6341,
|
| 1122 |
+
"step": 15900
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.4123817624165571,
|
| 1126 |
+
"grad_norm": 3.277012348175049,
|
| 1127 |
+
"learning_rate": 1.2717979392891828e-05,
|
| 1128 |
+
"loss": 3.5786,
|
| 1129 |
+
"step": 16000
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.4149591484316606,
|
| 1133 |
+
"grad_norm": 2.9476773738861084,
|
| 1134 |
+
"learning_rate": 1.263996838113892e-05,
|
| 1135 |
+
"loss": 3.6355,
|
| 1136 |
+
"step": 16100
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.4175365344467641,
|
| 1140 |
+
"grad_norm": 2.3904929161071777,
|
| 1141 |
+
"learning_rate": 1.2561784286139214e-05,
|
| 1142 |
+
"loss": 3.6089,
|
| 1143 |
+
"step": 16200
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.4201139204618676,
|
| 1147 |
+
"grad_norm": 2.6618638038635254,
|
| 1148 |
+
"learning_rate": 1.2483432233846907e-05,
|
| 1149 |
+
"loss": 3.6242,
|
| 1150 |
+
"step": 16300
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.42269130647697106,
|
| 1154 |
+
"grad_norm": 3.4960837364196777,
|
| 1155 |
+
"learning_rate": 1.2404917361227919e-05,
|
| 1156 |
+
"loss": 3.6146,
|
| 1157 |
+
"step": 16400
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.42526869249207455,
|
| 1161 |
+
"grad_norm": 2.5803399085998535,
|
| 1162 |
+
"learning_rate": 1.2326244815923098e-05,
|
| 1163 |
+
"loss": 3.5669,
|
| 1164 |
+
"step": 16500
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.42784607850717804,
|
| 1168 |
+
"grad_norm": 3.5535264015197754,
|
| 1169 |
+
"learning_rate": 1.2247419755910733e-05,
|
| 1170 |
+
"loss": 3.6464,
|
| 1171 |
+
"step": 16600
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.43042346452228153,
|
| 1175 |
+
"grad_norm": 2.91530179977417,
|
| 1176 |
+
"learning_rate": 1.2168447349168357e-05,
|
| 1177 |
+
"loss": 3.5929,
|
| 1178 |
+
"step": 16700
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.43300085053738496,
|
| 1182 |
+
"grad_norm": 3.287222146987915,
|
| 1183 |
+
"learning_rate": 1.2089332773333968e-05,
|
| 1184 |
+
"loss": 3.576,
|
| 1185 |
+
"step": 16800
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.43557823655248845,
|
| 1189 |
+
"grad_norm": 2.1214730739593506,
|
| 1190 |
+
"learning_rate": 1.2010081215366518e-05,
|
| 1191 |
+
"loss": 3.5926,
|
| 1192 |
+
"step": 16900
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.43815562256759194,
|
| 1196 |
+
"grad_norm": 2.6936001777648926,
|
| 1197 |
+
"learning_rate": 1.1930697871205881e-05,
|
| 1198 |
+
"loss": 3.634,
|
| 1199 |
+
"step": 17000
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.44073300858269543,
|
| 1203 |
+
"grad_norm": 2.6629228591918945,
|
| 1204 |
+
"learning_rate": 1.1851187945432172e-05,
|
| 1205 |
+
"loss": 3.594,
|
| 1206 |
+
"step": 17100
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.4433103945977989,
|
| 1210 |
+
"grad_norm": 2.7637672424316406,
|
| 1211 |
+
"learning_rate": 1.1771556650924536e-05,
|
| 1212 |
+
"loss": 3.5654,
|
| 1213 |
+
"step": 17200
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.4458877806129024,
|
| 1217 |
+
"grad_norm": 3.007967233657837,
|
| 1218 |
+
"learning_rate": 1.1691809208519362e-05,
|
| 1219 |
+
"loss": 3.5833,
|
| 1220 |
+
"step": 17300
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.4484651666280059,
|
| 1224 |
+
"grad_norm": 2.5413074493408203,
|
| 1225 |
+
"learning_rate": 1.1611950846668008e-05,
|
| 1226 |
+
"loss": 3.5816,
|
| 1227 |
+
"step": 17400
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.4510425526431094,
|
| 1231 |
+
"grad_norm": 2.670403003692627,
|
| 1232 |
+
"learning_rate": 1.1531986801093992e-05,
|
| 1233 |
+
"loss": 3.5677,
|
| 1234 |
+
"step": 17500
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.4536199386582128,
|
| 1238 |
+
"grad_norm": 2.917133331298828,
|
| 1239 |
+
"learning_rate": 1.1451922314449743e-05,
|
| 1240 |
+
"loss": 3.6039,
|
| 1241 |
+
"step": 17600
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.4561973246733163,
|
| 1245 |
+
"grad_norm": 2.8471500873565674,
|
| 1246 |
+
"learning_rate": 1.1371762635972865e-05,
|
| 1247 |
+
"loss": 3.5638,
|
| 1248 |
+
"step": 17700
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.4587747106884198,
|
| 1252 |
+
"grad_norm": 3.085045576095581,
|
| 1253 |
+
"learning_rate": 1.1291513021141984e-05,
|
| 1254 |
+
"loss": 3.6002,
|
| 1255 |
+
"step": 17800
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.4613520967035233,
|
| 1259 |
+
"grad_norm": 2.738633871078491,
|
| 1260 |
+
"learning_rate": 1.1211178731332202e-05,
|
| 1261 |
+
"loss": 3.5863,
|
| 1262 |
+
"step": 17900
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.4639294827186268,
|
| 1266 |
+
"grad_norm": 2.2282371520996094,
|
| 1267 |
+
"learning_rate": 1.1130765033470118e-05,
|
| 1268 |
+
"loss": 3.5558,
|
| 1269 |
+
"step": 18000
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.46650686873373026,
|
| 1273 |
+
"grad_norm": 3.990865468978882,
|
| 1274 |
+
"learning_rate": 1.1050277199688551e-05,
|
| 1275 |
+
"loss": 3.5561,
|
| 1276 |
+
"step": 18100
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.46908425474883375,
|
| 1280 |
+
"grad_norm": 2.5623137950897217,
|
| 1281 |
+
"learning_rate": 1.096972050698084e-05,
|
| 1282 |
+
"loss": 3.6102,
|
| 1283 |
+
"step": 18200
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.47166164076393724,
|
| 1287 |
+
"grad_norm": 2.817237377166748,
|
| 1288 |
+
"learning_rate": 1.0889100236854919e-05,
|
| 1289 |
+
"loss": 3.579,
|
| 1290 |
+
"step": 18300
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.4742390267790407,
|
| 1294 |
+
"grad_norm": 2.3210537433624268,
|
| 1295 |
+
"learning_rate": 1.0808421674987014e-05,
|
| 1296 |
+
"loss": 3.5621,
|
| 1297 |
+
"step": 18400
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.47681641279414416,
|
| 1301 |
+
"grad_norm": 3.1638784408569336,
|
| 1302 |
+
"learning_rate": 1.0727690110875107e-05,
|
| 1303 |
+
"loss": 3.5601,
|
| 1304 |
+
"step": 18500
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.47939379880924765,
|
| 1308 |
+
"grad_norm": 2.745288133621216,
|
| 1309 |
+
"learning_rate": 1.064691083749215e-05,
|
| 1310 |
+
"loss": 3.5649,
|
| 1311 |
+
"step": 18600
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.48197118482435114,
|
| 1315 |
+
"grad_norm": 3.039222240447998,
|
| 1316 |
+
"learning_rate": 1.0566089150939042e-05,
|
| 1317 |
+
"loss": 3.5542,
|
| 1318 |
+
"step": 18700
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.48454857083945463,
|
| 1322 |
+
"grad_norm": 3.693120241165161,
|
| 1323 |
+
"learning_rate": 1.0485230350097399e-05,
|
| 1324 |
+
"loss": 3.5537,
|
| 1325 |
+
"step": 18800
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.4871259568545581,
|
| 1329 |
+
"grad_norm": 4.2057647705078125,
|
| 1330 |
+
"learning_rate": 1.0404339736282147e-05,
|
| 1331 |
+
"loss": 3.5486,
|
| 1332 |
+
"step": 18900
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.4897033428696616,
|
| 1336 |
+
"grad_norm": 2.311918020248413,
|
| 1337 |
+
"learning_rate": 1.0323422612893952e-05,
|
| 1338 |
+
"loss": 3.5793,
|
| 1339 |
+
"step": 19000
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.4922807288847651,
|
| 1343 |
+
"grad_norm": 4.156958103179932,
|
| 1344 |
+
"learning_rate": 1.0242484285071519e-05,
|
| 1345 |
+
"loss": 3.5819,
|
| 1346 |
+
"step": 19100
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.49485811489986853,
|
| 1350 |
+
"grad_norm": 3.338391065597534,
|
| 1351 |
+
"learning_rate": 1.0161530059343772e-05,
|
| 1352 |
+
"loss": 3.565,
|
| 1353 |
+
"step": 19200
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.497435500914972,
|
| 1357 |
+
"grad_norm": 2.760301351547241,
|
| 1358 |
+
"learning_rate": 1.008056524328194e-05,
|
| 1359 |
+
"loss": 3.5441,
|
| 1360 |
+
"step": 19300
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.5000128869300755,
|
| 1364 |
+
"grad_norm": 2.5389583110809326,
|
| 1365 |
+
"learning_rate": 9.999595145151585e-06,
|
| 1366 |
+
"loss": 3.5293,
|
| 1367 |
+
"step": 19400
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.502590272945179,
|
| 1371 |
+
"grad_norm": 3.2732832431793213,
|
| 1372 |
+
"learning_rate": 9.918625073564578e-06,
|
| 1373 |
+
"loss": 3.5394,
|
| 1374 |
+
"step": 19500
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.5051676589602825,
|
| 1378 |
+
"grad_norm": 2.297307014465332,
|
| 1379 |
+
"learning_rate": 9.83766033713104e-06,
|
| 1380 |
+
"loss": 3.5349,
|
| 1381 |
+
"step": 19600
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.507745044975386,
|
| 1385 |
+
"grad_norm": 3.606658697128296,
|
| 1386 |
+
"learning_rate": 9.756706244111317e-06,
|
| 1387 |
+
"loss": 3.5398,
|
| 1388 |
+
"step": 19700
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.5103224309904895,
|
| 1392 |
+
"grad_norm": 2.4102110862731934,
|
| 1393 |
+
"learning_rate": 9.675768102067935e-06,
|
| 1394 |
+
"loss": 3.5987,
|
| 1395 |
+
"step": 19800
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.512899817005593,
|
| 1399 |
+
"grad_norm": 2.8538153171539307,
|
| 1400 |
+
"learning_rate": 9.594851217517642e-06,
|
| 1401 |
+
"loss": 3.5616,
|
| 1402 |
+
"step": 19900
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.5154772030206964,
|
| 1406 |
+
"grad_norm": 4.01407527923584,
|
| 1407 |
+
"learning_rate": 9.513960895583478e-06,
|
| 1408 |
+
"loss": 3.4919,
|
| 1409 |
+
"step": 20000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.5180545890357999,
|
| 1413 |
+
"grad_norm": 2.5220627784729004,
|
| 1414 |
+
"learning_rate": 9.433102439646981e-06,
|
| 1415 |
+
"loss": 3.559,
|
| 1416 |
+
"step": 20100
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.5206319750509034,
|
| 1420 |
+
"grad_norm": 2.559917688369751,
|
| 1421 |
+
"learning_rate": 9.352281151000457e-06,
|
| 1422 |
+
"loss": 3.5538,
|
| 1423 |
+
"step": 20200
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.5232093610660069,
|
| 1427 |
+
"grad_norm": 3.0429484844207764,
|
| 1428 |
+
"learning_rate": 9.271502328499438e-06,
|
| 1429 |
+
"loss": 3.5611,
|
| 1430 |
+
"step": 20300
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.5257867470811103,
|
| 1434 |
+
"grad_norm": 3.077364921569824,
|
| 1435 |
+
"learning_rate": 9.190771268215259e-06,
|
| 1436 |
+
"loss": 3.5486,
|
| 1437 |
+
"step": 20400
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.5283641330962138,
|
| 1441 |
+
"grad_norm": 2.6773500442504883,
|
| 1442 |
+
"learning_rate": 9.110093263087837e-06,
|
| 1443 |
+
"loss": 3.5704,
|
| 1444 |
+
"step": 20500
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.5309415191113173,
|
| 1448 |
+
"grad_norm": 3.3674185276031494,
|
| 1449 |
+
"learning_rate": 9.029473602578661e-06,
|
| 1450 |
+
"loss": 3.573,
|
| 1451 |
+
"step": 20600
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.5335189051264208,
|
| 1455 |
+
"grad_norm": 3.724148750305176,
|
| 1456 |
+
"learning_rate": 8.948917572323986e-06,
|
| 1457 |
+
"loss": 3.5759,
|
| 1458 |
+
"step": 20700
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.5360962911415242,
|
| 1462 |
+
"grad_norm": 1.9666955471038818,
|
| 1463 |
+
"learning_rate": 8.868430453788306e-06,
|
| 1464 |
+
"loss": 3.558,
|
| 1465 |
+
"step": 20800
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.5386736771566277,
|
| 1469 |
+
"grad_norm": 2.4549689292907715,
|
| 1470 |
+
"learning_rate": 8.788017523918078e-06,
|
| 1471 |
+
"loss": 3.5316,
|
| 1472 |
+
"step": 20900
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.5412510631717312,
|
| 1476 |
+
"grad_norm": 4.1462178230285645,
|
| 1477 |
+
"learning_rate": 8.707684054795763e-06,
|
| 1478 |
+
"loss": 3.5378,
|
| 1479 |
+
"step": 21000
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.5438284491868347,
|
| 1483 |
+
"grad_norm": 2.751946449279785,
|
| 1484 |
+
"learning_rate": 8.627435313294159e-06,
|
| 1485 |
+
"loss": 3.5135,
|
| 1486 |
+
"step": 21100
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.5464058352019382,
|
| 1490 |
+
"grad_norm": 2.8184778690338135,
|
| 1491 |
+
"learning_rate": 8.547276560731101e-06,
|
| 1492 |
+
"loss": 3.5279,
|
| 1493 |
+
"step": 21200
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.5489832212170417,
|
| 1497 |
+
"grad_norm": 2.992576837539673,
|
| 1498 |
+
"learning_rate": 8.46721305252452e-06,
|
| 1499 |
+
"loss": 3.5366,
|
| 1500 |
+
"step": 21300
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.5515606072321452,
|
| 1504 |
+
"grad_norm": 3.002877712249756,
|
| 1505 |
+
"learning_rate": 8.387250037847861e-06,
|
| 1506 |
+
"loss": 3.5015,
|
| 1507 |
+
"step": 21400
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.5541379932472487,
|
| 1511 |
+
"grad_norm": 3.248469114303589,
|
| 1512 |
+
"learning_rate": 8.307392759285973e-06,
|
| 1513 |
+
"loss": 3.532,
|
| 1514 |
+
"step": 21500
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.5567153792623522,
|
| 1518 |
+
"grad_norm": 3.5968146324157715,
|
| 1519 |
+
"learning_rate": 8.227646452491346e-06,
|
| 1520 |
+
"loss": 3.5372,
|
| 1521 |
+
"step": 21600
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.5592927652774556,
|
| 1525 |
+
"grad_norm": 2.5173234939575195,
|
| 1526 |
+
"learning_rate": 8.148016345840887e-06,
|
| 1527 |
+
"loss": 3.594,
|
| 1528 |
+
"step": 21700
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.5618701512925591,
|
| 1532 |
+
"grad_norm": 2.8253161907196045,
|
| 1533 |
+
"learning_rate": 8.068507660093104e-06,
|
| 1534 |
+
"loss": 3.5539,
|
| 1535 |
+
"step": 21800
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.5644475373076626,
|
| 1539 |
+
"grad_norm": 3.1500766277313232,
|
| 1540 |
+
"learning_rate": 7.989125608045845e-06,
|
| 1541 |
+
"loss": 3.5263,
|
| 1542 |
+
"step": 21900
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.5670249233227661,
|
| 1546 |
+
"grad_norm": 2.9229307174682617,
|
| 1547 |
+
"learning_rate": 7.909875394194506e-06,
|
| 1548 |
+
"loss": 3.5409,
|
| 1549 |
+
"step": 22000
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.5696023093378695,
|
| 1553 |
+
"grad_norm": 3.7232964038848877,
|
| 1554 |
+
"learning_rate": 7.830762214390841e-06,
|
| 1555 |
+
"loss": 3.558,
|
| 1556 |
+
"step": 22100
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.572179695352973,
|
| 1560 |
+
"grad_norm": 2.866701602935791,
|
| 1561 |
+
"learning_rate": 7.751791255502279e-06,
|
| 1562 |
+
"loss": 3.4788,
|
| 1563 |
+
"step": 22200
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.5747570813680765,
|
| 1567 |
+
"grad_norm": 2.7208220958709717,
|
| 1568 |
+
"learning_rate": 7.67296769507188e-06,
|
| 1569 |
+
"loss": 3.5539,
|
| 1570 |
+
"step": 22300
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.57733446738318,
|
| 1574 |
+
"grad_norm": 2.726557970046997,
|
| 1575 |
+
"learning_rate": 7.594296700978873e-06,
|
| 1576 |
+
"loss": 3.5649,
|
| 1577 |
+
"step": 22400
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.5799118533982834,
|
| 1581 |
+
"grad_norm": 2.8795485496520996,
|
| 1582 |
+
"learning_rate": 7.515783431099841e-06,
|
| 1583 |
+
"loss": 3.5274,
|
| 1584 |
+
"step": 22500
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.5824892394133869,
|
| 1588 |
+
"grad_norm": 2.9432897567749023,
|
| 1589 |
+
"learning_rate": 7.437433032970551e-06,
|
| 1590 |
+
"loss": 3.5322,
|
| 1591 |
+
"step": 22600
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.5850666254284904,
|
| 1595 |
+
"grad_norm": 2.989090919494629,
|
| 1596 |
+
"learning_rate": 7.35925064344847e-06,
|
| 1597 |
+
"loss": 3.5456,
|
| 1598 |
+
"step": 22700
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.5876440114435939,
|
| 1602 |
+
"grad_norm": 2.5774166584014893,
|
| 1603 |
+
"learning_rate": 7.281241388375986e-06,
|
| 1604 |
+
"loss": 3.5669,
|
| 1605 |
+
"step": 22800
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.5902213974586974,
|
| 1609 |
+
"grad_norm": 2.8785130977630615,
|
| 1610 |
+
"learning_rate": 7.203410382244329e-06,
|
| 1611 |
+
"loss": 3.5218,
|
| 1612 |
+
"step": 22900
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.5927987834738009,
|
| 1616 |
+
"grad_norm": 2.8544228076934814,
|
| 1617 |
+
"learning_rate": 7.125762727858274e-06,
|
| 1618 |
+
"loss": 3.5058,
|
| 1619 |
+
"step": 23000
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.5953761694889044,
|
| 1623 |
+
"grad_norm": 3.5591630935668945,
|
| 1624 |
+
"learning_rate": 7.048303516001562e-06,
|
| 1625 |
+
"loss": 3.4966,
|
| 1626 |
+
"step": 23100
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.5979535555040079,
|
| 1630 |
+
"grad_norm": 3.3244006633758545,
|
| 1631 |
+
"learning_rate": 6.971037825103159e-06,
|
| 1632 |
+
"loss": 3.4968,
|
| 1633 |
+
"step": 23200
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.6005309415191113,
|
| 1637 |
+
"grad_norm": 3.3921620845794678,
|
| 1638 |
+
"learning_rate": 6.89397072090428e-06,
|
| 1639 |
+
"loss": 3.4837,
|
| 1640 |
+
"step": 23300
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.6031083275342148,
|
| 1644 |
+
"grad_norm": 2.4903266429901123,
|
| 1645 |
+
"learning_rate": 6.817107256126283e-06,
|
| 1646 |
+
"loss": 3.5231,
|
| 1647 |
+
"step": 23400
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.6056857135493183,
|
| 1651 |
+
"grad_norm": 3.7704195976257324,
|
| 1652 |
+
"learning_rate": 6.740452470139387e-06,
|
| 1653 |
+
"loss": 3.5036,
|
| 1654 |
+
"step": 23500
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.6082630995644218,
|
| 1658 |
+
"grad_norm": 2.641227960586548,
|
| 1659 |
+
"learning_rate": 6.664011388632289e-06,
|
| 1660 |
+
"loss": 3.5273,
|
| 1661 |
+
"step": 23600
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.6108404855795252,
|
| 1665 |
+
"grad_norm": 4.074779033660889,
|
| 1666 |
+
"learning_rate": 6.5877890232826536e-06,
|
| 1667 |
+
"loss": 3.4951,
|
| 1668 |
+
"step": 23700
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.6134178715946287,
|
| 1672 |
+
"grad_norm": 2.4264795780181885,
|
| 1673 |
+
"learning_rate": 6.511790371428537e-06,
|
| 1674 |
+
"loss": 3.5163,
|
| 1675 |
+
"step": 23800
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.6159952576097322,
|
| 1679 |
+
"grad_norm": 2.61828875541687,
|
| 1680 |
+
"learning_rate": 6.436020415740763e-06,
|
| 1681 |
+
"loss": 3.5222,
|
| 1682 |
+
"step": 23900
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.6185726436248357,
|
| 1686 |
+
"grad_norm": 4.017815113067627,
|
| 1687 |
+
"learning_rate": 6.360484123896229e-06,
|
| 1688 |
+
"loss": 3.4908,
|
| 1689 |
+
"step": 24000
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.6211500296399391,
|
| 1693 |
+
"grad_norm": 2.8214426040649414,
|
| 1694 |
+
"learning_rate": 6.285186448252223e-06,
|
| 1695 |
+
"loss": 3.5236,
|
| 1696 |
+
"step": 24100
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.6237274156550426,
|
| 1700 |
+
"grad_norm": 3.42803955078125,
|
| 1701 |
+
"learning_rate": 6.21013232552172e-06,
|
| 1702 |
+
"loss": 3.5044,
|
| 1703 |
+
"step": 24200
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.6263048016701461,
|
| 1707 |
+
"grad_norm": 3.3761305809020996,
|
| 1708 |
+
"learning_rate": 6.13532667644974e-06,
|
| 1709 |
+
"loss": 3.4869,
|
| 1710 |
+
"step": 24300
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.6288821876852496,
|
| 1714 |
+
"grad_norm": 3.3546550273895264,
|
| 1715 |
+
"learning_rate": 6.060774405490708e-06,
|
| 1716 |
+
"loss": 3.4729,
|
| 1717 |
+
"step": 24400
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.6314595737003531,
|
| 1721 |
+
"grad_norm": 3.3199570178985596,
|
| 1722 |
+
"learning_rate": 5.986480400486921e-06,
|
| 1723 |
+
"loss": 3.5003,
|
| 1724 |
+
"step": 24500
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.6340369597154566,
|
| 1728 |
+
"grad_norm": 4.5168890953063965,
|
| 1729 |
+
"learning_rate": 5.912449532348086e-06,
|
| 1730 |
+
"loss": 3.5129,
|
| 1731 |
+
"step": 24600
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.6366143457305601,
|
| 1735 |
+
"grad_norm": 2.819969415664673,
|
| 1736 |
+
"learning_rate": 5.8386866547319565e-06,
|
| 1737 |
+
"loss": 3.4985,
|
| 1738 |
+
"step": 24700
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.6391917317456636,
|
| 1742 |
+
"grad_norm": 3.190934419631958,
|
| 1743 |
+
"learning_rate": 5.7651966037261376e-06,
|
| 1744 |
+
"loss": 3.4835,
|
| 1745 |
+
"step": 24800
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.6417691177607671,
|
| 1749 |
+
"grad_norm": 3.1044363975524902,
|
| 1750 |
+
"learning_rate": 5.691984197531e-06,
|
| 1751 |
+
"loss": 3.5376,
|
| 1752 |
+
"step": 24900
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.6443465037758705,
|
| 1756 |
+
"grad_norm": 3.198023557662964,
|
| 1757 |
+
"learning_rate": 5.619054236143794e-06,
|
| 1758 |
+
"loss": 3.5042,
|
| 1759 |
+
"step": 25000
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.646923889790974,
|
| 1763 |
+
"grad_norm": 2.9517762660980225,
|
| 1764 |
+
"learning_rate": 5.546411501043947e-06,
|
| 1765 |
+
"loss": 3.4939,
|
| 1766 |
+
"step": 25100
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.6495012758060775,
|
| 1770 |
+
"grad_norm": 3.4749555587768555,
|
| 1771 |
+
"learning_rate": 5.474060754879576e-06,
|
| 1772 |
+
"loss": 3.487,
|
| 1773 |
+
"step": 25200
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.6520786618211809,
|
| 1777 |
+
"grad_norm": 3.2266461849212646,
|
| 1778 |
+
"learning_rate": 5.4020067411552526e-06,
|
| 1779 |
+
"loss": 3.4699,
|
| 1780 |
+
"step": 25300
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.6546560478362844,
|
| 1784 |
+
"grad_norm": 3.5922603607177734,
|
| 1785 |
+
"learning_rate": 5.330254183920969e-06,
|
| 1786 |
+
"loss": 3.4518,
|
| 1787 |
+
"step": 25400
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.6572334338513879,
|
| 1791 |
+
"grad_norm": 3.798825263977051,
|
| 1792 |
+
"learning_rate": 5.2588077874624486e-06,
|
| 1793 |
+
"loss": 3.4469,
|
| 1794 |
+
"step": 25500
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.6598108198664914,
|
| 1798 |
+
"grad_norm": 2.2145583629608154,
|
| 1799 |
+
"learning_rate": 5.187672235992726e-06,
|
| 1800 |
+
"loss": 3.4843,
|
| 1801 |
+
"step": 25600
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.6623882058815949,
|
| 1805 |
+
"grad_norm": 3.210674524307251,
|
| 1806 |
+
"learning_rate": 5.116852193345006e-06,
|
| 1807 |
+
"loss": 3.4803,
|
| 1808 |
+
"step": 25700
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.6649655918966983,
|
| 1812 |
+
"grad_norm": 2.506747245788574,
|
| 1813 |
+
"learning_rate": 5.046352302666913e-06,
|
| 1814 |
+
"loss": 3.4903,
|
| 1815 |
+
"step": 25800
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.6675429779118018,
|
| 1819 |
+
"grad_norm": 2.7490615844726562,
|
| 1820 |
+
"learning_rate": 4.976177186116067e-06,
|
| 1821 |
+
"loss": 3.524,
|
| 1822 |
+
"step": 25900
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.6701203639269053,
|
| 1826 |
+
"grad_norm": 2.1966018676757812,
|
| 1827 |
+
"learning_rate": 4.906331444557057e-06,
|
| 1828 |
+
"loss": 3.457,
|
| 1829 |
+
"step": 26000
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.6726977499420088,
|
| 1833 |
+
"grad_norm": 2.6093175411224365,
|
| 1834 |
+
"learning_rate": 4.83681965725977e-06,
|
| 1835 |
+
"loss": 3.4933,
|
| 1836 |
+
"step": 26100
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.6752751359571123,
|
| 1840 |
+
"grad_norm": 2.49112606048584,
|
| 1841 |
+
"learning_rate": 4.767646381599182e-06,
|
| 1842 |
+
"loss": 3.5118,
|
| 1843 |
+
"step": 26200
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.6778525219722158,
|
| 1847 |
+
"grad_norm": 3.006537914276123,
|
| 1848 |
+
"learning_rate": 4.698816152756555e-06,
|
| 1849 |
+
"loss": 3.4852,
|
| 1850 |
+
"step": 26300
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.6804299079873193,
|
| 1854 |
+
"grad_norm": 3.1903345584869385,
|
| 1855 |
+
"learning_rate": 4.630333483422113e-06,
|
| 1856 |
+
"loss": 3.4743,
|
| 1857 |
+
"step": 26400
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.6830072940024228,
|
| 1861 |
+
"grad_norm": 3.210156202316284,
|
| 1862 |
+
"learning_rate": 4.562202863499156e-06,
|
| 1863 |
+
"loss": 3.4486,
|
| 1864 |
+
"step": 26500
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.6855846800175263,
|
| 1868 |
+
"grad_norm": 3.5177881717681885,
|
| 1869 |
+
"learning_rate": 4.494428759809705e-06,
|
| 1870 |
+
"loss": 3.4646,
|
| 1871 |
+
"step": 26600
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.6881620660326297,
|
| 1875 |
+
"grad_norm": 3.745039463043213,
|
| 1876 |
+
"learning_rate": 4.427015615801643e-06,
|
| 1877 |
+
"loss": 3.4679,
|
| 1878 |
+
"step": 26700
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.6907394520477332,
|
| 1882 |
+
"grad_norm": 2.926971912384033,
|
| 1883 |
+
"learning_rate": 4.3599678512573965e-06,
|
| 1884 |
+
"loss": 3.5078,
|
| 1885 |
+
"step": 26800
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.6933168380628366,
|
| 1889 |
+
"grad_norm": 2.910550355911255,
|
| 1890 |
+
"learning_rate": 4.293289862004149e-06,
|
| 1891 |
+
"loss": 3.4783,
|
| 1892 |
+
"step": 26900
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.6958942240779401,
|
| 1896 |
+
"grad_norm": 2.528334617614746,
|
| 1897 |
+
"learning_rate": 4.2269860196256394e-06,
|
| 1898 |
+
"loss": 3.4298,
|
| 1899 |
+
"step": 27000
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.6984716100930436,
|
| 1903 |
+
"grad_norm": 2.6762783527374268,
|
| 1904 |
+
"learning_rate": 4.161060671175576e-06,
|
| 1905 |
+
"loss": 3.5299,
|
| 1906 |
+
"step": 27100
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.7010489961081471,
|
| 1910 |
+
"grad_norm": 2.952073335647583,
|
| 1911 |
+
"learning_rate": 4.0955181388925995e-06,
|
| 1912 |
+
"loss": 3.4761,
|
| 1913 |
+
"step": 27200
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.7036263821232506,
|
| 1917 |
+
"grad_norm": 2.826277256011963,
|
| 1918 |
+
"learning_rate": 4.030362719916923e-06,
|
| 1919 |
+
"loss": 3.4861,
|
| 1920 |
+
"step": 27300
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.7062037681383541,
|
| 1924 |
+
"grad_norm": 3.2260401248931885,
|
| 1925 |
+
"learning_rate": 3.965598686008595e-06,
|
| 1926 |
+
"loss": 3.5105,
|
| 1927 |
+
"step": 27400
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.7087811541534575,
|
| 1931 |
+
"grad_norm": 3.05185866355896,
|
| 1932 |
+
"learning_rate": 3.901230283267432e-06,
|
| 1933 |
+
"loss": 3.4628,
|
| 1934 |
+
"step": 27500
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.711358540168561,
|
| 1938 |
+
"grad_norm": 3.9587910175323486,
|
| 1939 |
+
"learning_rate": 3.837261731854643e-06,
|
| 1940 |
+
"loss": 3.4725,
|
| 1941 |
+
"step": 27600
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.7139359261836645,
|
| 1945 |
+
"grad_norm": 3.1975626945495605,
|
| 1946 |
+
"learning_rate": 3.7736972257161265e-06,
|
| 1947 |
+
"loss": 3.4509,
|
| 1948 |
+
"step": 27700
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.716513312198768,
|
| 1952 |
+
"grad_norm": 2.787067413330078,
|
| 1953 |
+
"learning_rate": 3.7105409323075146e-06,
|
| 1954 |
+
"loss": 3.479,
|
| 1955 |
+
"step": 27800
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.7190906982138715,
|
| 1959 |
+
"grad_norm": 2.3811051845550537,
|
| 1960 |
+
"learning_rate": 3.647796992320942e-06,
|
| 1961 |
+
"loss": 3.4223,
|
| 1962 |
+
"step": 27900
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.721668084228975,
|
| 1966 |
+
"grad_norm": 2.9078991413116455,
|
| 1967 |
+
"learning_rate": 3.5854695194135836e-06,
|
| 1968 |
+
"loss": 3.5105,
|
| 1969 |
+
"step": 28000
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.7242454702440785,
|
| 1973 |
+
"grad_norm": 3.045022964477539,
|
| 1974 |
+
"learning_rate": 3.5235625999379276e-06,
|
| 1975 |
+
"loss": 3.4777,
|
| 1976 |
+
"step": 28100
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.726822856259182,
|
| 1980 |
+
"grad_norm": 2.9359779357910156,
|
| 1981 |
+
"learning_rate": 3.4620802926738816e-06,
|
| 1982 |
+
"loss": 3.4212,
|
| 1983 |
+
"step": 28200
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.7294002422742855,
|
| 1987 |
+
"grad_norm": 3.194761037826538,
|
| 1988 |
+
"learning_rate": 3.4010266285626604e-06,
|
| 1989 |
+
"loss": 3.4767,
|
| 1990 |
+
"step": 28300
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.731977628289389,
|
| 1994 |
+
"grad_norm": 3.352755308151245,
|
| 1995 |
+
"learning_rate": 3.340405610442521e-06,
|
| 1996 |
+
"loss": 3.4824,
|
| 1997 |
+
"step": 28400
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.7345550143044924,
|
| 2001 |
+
"grad_norm": 3.414588212966919,
|
| 2002 |
+
"learning_rate": 3.280221212786303e-06,
|
| 2003 |
+
"loss": 3.4289,
|
| 2004 |
+
"step": 28500
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.7371324003195958,
|
| 2008 |
+
"grad_norm": 3.331251859664917,
|
| 2009 |
+
"learning_rate": 3.2204773814408687e-06,
|
| 2010 |
+
"loss": 3.4286,
|
| 2011 |
+
"step": 28600
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.7397097863346993,
|
| 2015 |
+
"grad_norm": 3.4244349002838135,
|
| 2016 |
+
"learning_rate": 3.1611780333683994e-06,
|
| 2017 |
+
"loss": 3.484,
|
| 2018 |
+
"step": 28700
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.7422871723498028,
|
| 2022 |
+
"grad_norm": 2.5272583961486816,
|
| 2023 |
+
"learning_rate": 3.102327056389586e-06,
|
| 2024 |
+
"loss": 3.4705,
|
| 2025 |
+
"step": 28800
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.7448645583649063,
|
| 2029 |
+
"grad_norm": 2.9628090858459473,
|
| 2030 |
+
"learning_rate": 3.043928308928735e-06,
|
| 2031 |
+
"loss": 3.4835,
|
| 2032 |
+
"step": 28900
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.7474419443800098,
|
| 2036 |
+
"grad_norm": 2.411830186843872,
|
| 2037 |
+
"learning_rate": 2.9859856197607994e-06,
|
| 2038 |
+
"loss": 3.4609,
|
| 2039 |
+
"step": 29000
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.7500193303951133,
|
| 2043 |
+
"grad_norm": 3.6374247074127197,
|
| 2044 |
+
"learning_rate": 2.9285027877603646e-06,
|
| 2045 |
+
"loss": 3.4512,
|
| 2046 |
+
"step": 29100
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.7525967164102167,
|
| 2050 |
+
"grad_norm": 2.5388495922088623,
|
| 2051 |
+
"learning_rate": 2.871483581652561e-06,
|
| 2052 |
+
"loss": 3.4687,
|
| 2053 |
+
"step": 29200
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.7551741024253202,
|
| 2057 |
+
"grad_norm": 3.1188249588012695,
|
| 2058 |
+
"learning_rate": 2.814931739765998e-06,
|
| 2059 |
+
"loss": 3.4427,
|
| 2060 |
+
"step": 29300
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.7577514884404237,
|
| 2064 |
+
"grad_norm": 2.154353618621826,
|
| 2065 |
+
"learning_rate": 2.7588509697876588e-06,
|
| 2066 |
+
"loss": 3.4376,
|
| 2067 |
+
"step": 29400
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.7603288744555272,
|
| 2071 |
+
"grad_norm": 3.519176721572876,
|
| 2072 |
+
"learning_rate": 2.703244948519822e-06,
|
| 2073 |
+
"loss": 3.4864,
|
| 2074 |
+
"step": 29500
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.7629062604706307,
|
| 2078 |
+
"grad_norm": 4.806483745574951,
|
| 2079 |
+
"learning_rate": 2.6481173216389912e-06,
|
| 2080 |
+
"loss": 3.4616,
|
| 2081 |
+
"step": 29600
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.7654836464857342,
|
| 2085 |
+
"grad_norm": 3.5363433361053467,
|
| 2086 |
+
"learning_rate": 2.5934717034568826e-06,
|
| 2087 |
+
"loss": 3.4354,
|
| 2088 |
+
"step": 29700
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.7680610325008377,
|
| 2092 |
+
"grad_norm": 3.238460063934326,
|
| 2093 |
+
"learning_rate": 2.5393116766834548e-06,
|
| 2094 |
+
"loss": 3.4601,
|
| 2095 |
+
"step": 29800
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.7706384185159412,
|
| 2099 |
+
"grad_norm": 4.202941417694092,
|
| 2100 |
+
"learning_rate": 2.48564079219203e-06,
|
| 2101 |
+
"loss": 3.4445,
|
| 2102 |
+
"step": 29900
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.7732158045310447,
|
| 2106 |
+
"grad_norm": 2.6526873111724854,
|
| 2107 |
+
"learning_rate": 2.4324625687864724e-06,
|
| 2108 |
+
"loss": 3.4898,
|
| 2109 |
+
"step": 30000
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.7757931905461481,
|
| 2113 |
+
"grad_norm": 1.9778908491134644,
|
| 2114 |
+
"learning_rate": 2.3797804929704935e-06,
|
| 2115 |
+
"loss": 3.4651,
|
| 2116 |
+
"step": 30100
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.7783705765612515,
|
| 2120 |
+
"grad_norm": 2.8497068881988525,
|
| 2121 |
+
"learning_rate": 2.327598018719075e-06,
|
| 2122 |
+
"loss": 3.4436,
|
| 2123 |
+
"step": 30200
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.780947962576355,
|
| 2127 |
+
"grad_norm": 2.419715404510498,
|
| 2128 |
+
"learning_rate": 2.2759185672520035e-06,
|
| 2129 |
+
"loss": 3.4631,
|
| 2130 |
+
"step": 30300
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.7835253485914585,
|
| 2134 |
+
"grad_norm": 4.064117908477783,
|
| 2135 |
+
"learning_rate": 2.2247455268095774e-06,
|
| 2136 |
+
"loss": 3.4294,
|
| 2137 |
+
"step": 30400
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.786102734606562,
|
| 2141 |
+
"grad_norm": 3.3254690170288086,
|
| 2142 |
+
"learning_rate": 2.1740822524304592e-06,
|
| 2143 |
+
"loss": 3.4852,
|
| 2144 |
+
"step": 30500
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.7886801206216655,
|
| 2148 |
+
"grad_norm": 2.177420139312744,
|
| 2149 |
+
"learning_rate": 2.123932065731711e-06,
|
| 2150 |
+
"loss": 3.4196,
|
| 2151 |
+
"step": 30600
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.791257506636769,
|
| 2155 |
+
"grad_norm": 2.7484512329101562,
|
| 2156 |
+
"learning_rate": 2.0742982546910285e-06,
|
| 2157 |
+
"loss": 3.4612,
|
| 2158 |
+
"step": 30700
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.7938348926518725,
|
| 2162 |
+
"grad_norm": 2.773761510848999,
|
| 2163 |
+
"learning_rate": 2.025184073431159e-06,
|
| 2164 |
+
"loss": 3.4371,
|
| 2165 |
+
"step": 30800
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.796412278666976,
|
| 2169 |
+
"grad_norm": 3.323274850845337,
|
| 2170 |
+
"learning_rate": 1.976592742006559e-06,
|
| 2171 |
+
"loss": 3.4218,
|
| 2172 |
+
"step": 30900
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.7989896646820794,
|
| 2176 |
+
"grad_norm": 3.342670202255249,
|
| 2177 |
+
"learning_rate": 1.928527446192281e-06,
|
| 2178 |
+
"loss": 3.467,
|
| 2179 |
+
"step": 31000
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.8015670506971829,
|
| 2183 |
+
"grad_norm": 4.328900337219238,
|
| 2184 |
+
"learning_rate": 1.8809913372751088e-06,
|
| 2185 |
+
"loss": 3.4315,
|
| 2186 |
+
"step": 31100
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.8041444367122864,
|
| 2190 |
+
"grad_norm": 2.74299955368042,
|
| 2191 |
+
"learning_rate": 1.8339875318469403e-06,
|
| 2192 |
+
"loss": 3.4772,
|
| 2193 |
+
"step": 31200
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.8067218227273899,
|
| 2197 |
+
"grad_norm": 4.035296440124512,
|
| 2198 |
+
"learning_rate": 1.7875191116004608e-06,
|
| 2199 |
+
"loss": 3.4352,
|
| 2200 |
+
"step": 31300
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.8092992087424934,
|
| 2204 |
+
"grad_norm": 3.8721446990966797,
|
| 2205 |
+
"learning_rate": 1.741589123127102e-06,
|
| 2206 |
+
"loss": 3.4515,
|
| 2207 |
+
"step": 31400
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.8118765947575969,
|
| 2211 |
+
"grad_norm": 2.4593334197998047,
|
| 2212 |
+
"learning_rate": 1.6962005777173008e-06,
|
| 2213 |
+
"loss": 3.4365,
|
| 2214 |
+
"step": 31500
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.8144539807727004,
|
| 2218 |
+
"grad_norm": 3.573652744293213,
|
| 2219 |
+
"learning_rate": 1.651356451163062e-06,
|
| 2220 |
+
"loss": 3.4559,
|
| 2221 |
+
"step": 31600
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.8170313667878039,
|
| 2225 |
+
"grad_norm": 2.793955087661743,
|
| 2226 |
+
"learning_rate": 1.6070596835628648e-06,
|
| 2227 |
+
"loss": 3.4727,
|
| 2228 |
+
"step": 31700
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.8196087528029072,
|
| 2232 |
+
"grad_norm": 2.7159183025360107,
|
| 2233 |
+
"learning_rate": 1.5633131791289025e-06,
|
| 2234 |
+
"loss": 3.4555,
|
| 2235 |
+
"step": 31800
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.8221861388180107,
|
| 2239 |
+
"grad_norm": 2.820056915283203,
|
| 2240 |
+
"learning_rate": 1.5201198059966694e-06,
|
| 2241 |
+
"loss": 3.4686,
|
| 2242 |
+
"step": 31900
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.8247635248331142,
|
| 2246 |
+
"grad_norm": 3.042168617248535,
|
| 2247 |
+
"learning_rate": 1.4774823960369267e-06,
|
| 2248 |
+
"loss": 3.4859,
|
| 2249 |
+
"step": 32000
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.8273409108482177,
|
| 2253 |
+
"grad_norm": 1.8876127004623413,
|
| 2254 |
+
"learning_rate": 1.4354037446700254e-06,
|
| 2255 |
+
"loss": 3.4362,
|
| 2256 |
+
"step": 32100
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.8299182968633212,
|
| 2260 |
+
"grad_norm": 2.529664993286133,
|
| 2261 |
+
"learning_rate": 1.3938866106826487e-06,
|
| 2262 |
+
"loss": 3.4672,
|
| 2263 |
+
"step": 32200
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.8324956828784247,
|
| 2267 |
+
"grad_norm": 2.988670587539673,
|
| 2268 |
+
"learning_rate": 1.3529337160469213e-06,
|
| 2269 |
+
"loss": 3.3971,
|
| 2270 |
+
"step": 32300
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.8350730688935282,
|
| 2274 |
+
"grad_norm": 2.86753511428833,
|
| 2275 |
+
"learning_rate": 1.312547745741959e-06,
|
| 2276 |
+
"loss": 3.4792,
|
| 2277 |
+
"step": 32400
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.8376504549086317,
|
| 2281 |
+
"grad_norm": 2.9068603515625,
|
| 2282 |
+
"learning_rate": 1.2727313475778292e-06,
|
| 2283 |
+
"loss": 3.4381,
|
| 2284 |
+
"step": 32500
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.8402278409237351,
|
| 2288 |
+
"grad_norm": 3.6019556522369385,
|
| 2289 |
+
"learning_rate": 1.2334871320219645e-06,
|
| 2290 |
+
"loss": 3.4463,
|
| 2291 |
+
"step": 32600
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.8428052269388386,
|
| 2295 |
+
"grad_norm": 2.4795987606048584,
|
| 2296 |
+
"learning_rate": 1.1948176720280003e-06,
|
| 2297 |
+
"loss": 3.4414,
|
| 2298 |
+
"step": 32700
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.8453826129539421,
|
| 2302 |
+
"grad_norm": 3.487563133239746,
|
| 2303 |
+
"learning_rate": 1.156725502867091e-06,
|
| 2304 |
+
"loss": 3.4521,
|
| 2305 |
+
"step": 32800
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.8479599989690456,
|
| 2309 |
+
"grad_norm": 3.0892958641052246,
|
| 2310 |
+
"learning_rate": 1.1192131219616897e-06,
|
| 2311 |
+
"loss": 3.4442,
|
| 2312 |
+
"step": 32900
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.8505373849841491,
|
| 2316 |
+
"grad_norm": 4.437790870666504,
|
| 2317 |
+
"learning_rate": 1.0822829887218179e-06,
|
| 2318 |
+
"loss": 3.4133,
|
| 2319 |
+
"step": 33000
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.8531147709992526,
|
| 2323 |
+
"grad_norm": 3.2960755825042725,
|
| 2324 |
+
"learning_rate": 1.0459375243838078e-06,
|
| 2325 |
+
"loss": 3.4252,
|
| 2326 |
+
"step": 33100
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.8556921570143561,
|
| 2330 |
+
"grad_norm": 3.6840438842773438,
|
| 2331 |
+
"learning_rate": 1.010179111851569e-06,
|
| 2332 |
+
"loss": 3.3985,
|
| 2333 |
+
"step": 33200
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.8582695430294596,
|
| 2337 |
+
"grad_norm": 2.7940917015075684,
|
| 2338 |
+
"learning_rate": 9.750100955403529e-07,
|
| 2339 |
+
"loss": 3.4488,
|
| 2340 |
+
"step": 33300
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.8608469290445631,
|
| 2344 |
+
"grad_norm": 2.7630412578582764,
|
| 2345 |
+
"learning_rate": 9.40432781223054e-07,
|
| 2346 |
+
"loss": 3.4052,
|
| 2347 |
+
"step": 33400
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.8634243150596664,
|
| 2351 |
+
"grad_norm": 3.4538955688476562,
|
| 2352 |
+
"learning_rate": 9.064494358790332e-07,
|
| 2353 |
+
"loss": 3.416,
|
| 2354 |
+
"step": 33500
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.8660017010747699,
|
| 2358 |
+
"grad_norm": 3.7104904651641846,
|
| 2359 |
+
"learning_rate": 8.73062287545482e-07,
|
| 2360 |
+
"loss": 3.454,
|
| 2361 |
+
"step": 33600
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.8685790870898734,
|
| 2365 |
+
"grad_norm": 2.817603588104248,
|
| 2366 |
+
"learning_rate": 8.402735251713556e-07,
|
| 2367 |
+
"loss": 3.4433,
|
| 2368 |
+
"step": 33700
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.8711564731049769,
|
| 2372 |
+
"grad_norm": 3.7898402214050293,
|
| 2373 |
+
"learning_rate": 8.080852984738663e-07,
|
| 2374 |
+
"loss": 3.4687,
|
| 2375 |
+
"step": 33800
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.8737338591200804,
|
| 2379 |
+
"grad_norm": 3.0680181980133057,
|
| 2380 |
+
"learning_rate": 7.76499717797522e-07,
|
| 2381 |
+
"loss": 3.4588,
|
| 2382 |
+
"step": 33900
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.8763112451351839,
|
| 2386 |
+
"grad_norm": 3.4424569606781006,
|
| 2387 |
+
"learning_rate": 7.455188539757829e-07,
|
| 2388 |
+
"loss": 3.4492,
|
| 2389 |
+
"step": 34000
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.8788886311502874,
|
| 2393 |
+
"grad_norm": 2.6502506732940674,
|
| 2394 |
+
"learning_rate": 7.151447381952847e-07,
|
| 2395 |
+
"loss": 3.4425,
|
| 2396 |
+
"step": 34100
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.8814660171653909,
|
| 2400 |
+
"grad_norm": 2.8979685306549072,
|
| 2401 |
+
"learning_rate": 6.853793618626759e-07,
|
| 2402 |
+
"loss": 3.4329,
|
| 2403 |
+
"step": 34200
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.8840434031804943,
|
| 2407 |
+
"grad_norm": 3.53257155418396,
|
| 2408 |
+
"learning_rate": 6.562246764740476e-07,
|
| 2409 |
+
"loss": 3.4444,
|
| 2410 |
+
"step": 34300
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.8866207891955978,
|
| 2414 |
+
"grad_norm": 3.8942556381225586,
|
| 2415 |
+
"learning_rate": 6.276825934869912e-07,
|
| 2416 |
+
"loss": 3.4471,
|
| 2417 |
+
"step": 34400
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.8891981752107013,
|
| 2421 |
+
"grad_norm": 3.2598304748535156,
|
| 2422 |
+
"learning_rate": 5.997549841952788e-07,
|
| 2423 |
+
"loss": 3.436,
|
| 2424 |
+
"step": 34500
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.8917755612258048,
|
| 2428 |
+
"grad_norm": 3.509730100631714,
|
| 2429 |
+
"learning_rate": 5.724436796061816e-07,
|
| 2430 |
+
"loss": 3.4376,
|
| 2431 |
+
"step": 34600
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.8943529472409083,
|
| 2435 |
+
"grad_norm": 2.601433753967285,
|
| 2436 |
+
"learning_rate": 5.45750470320413e-07,
|
| 2437 |
+
"loss": 3.4918,
|
| 2438 |
+
"step": 34700
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.8969303332560118,
|
| 2442 |
+
"grad_norm": 3.087909698486328,
|
| 2443 |
+
"learning_rate": 5.19677106414741e-07,
|
| 2444 |
+
"loss": 3.4511,
|
| 2445 |
+
"step": 34800
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.8995077192711153,
|
| 2449 |
+
"grad_norm": 3.840320587158203,
|
| 2450 |
+
"learning_rate": 4.942252973272433e-07,
|
| 2451 |
+
"loss": 3.4342,
|
| 2452 |
+
"step": 34900
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.9020851052862188,
|
| 2456 |
+
"grad_norm": 3.78507661819458,
|
| 2457 |
+
"learning_rate": 4.693967117452403e-07,
|
| 2458 |
+
"loss": 3.4473,
|
| 2459 |
+
"step": 35000
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.9046624913013221,
|
| 2463 |
+
"grad_norm": 3.3662655353546143,
|
| 2464 |
+
"learning_rate": 4.4519297749587964e-07,
|
| 2465 |
+
"loss": 3.4647,
|
| 2466 |
+
"step": 35100
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.9072398773164256,
|
| 2470 |
+
"grad_norm": 2.418348550796509,
|
| 2471 |
+
"learning_rate": 4.21615681439419e-07,
|
| 2472 |
+
"loss": 3.4774,
|
| 2473 |
+
"step": 35200
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.9098172633315291,
|
| 2477 |
+
"grad_norm": 3.3388941287994385,
|
| 2478 |
+
"learning_rate": 3.9866636936519044e-07,
|
| 2479 |
+
"loss": 3.4057,
|
| 2480 |
+
"step": 35300
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.9123946493466326,
|
| 2484 |
+
"grad_norm": 3.2763423919677734,
|
| 2485 |
+
"learning_rate": 3.7634654589024377e-07,
|
| 2486 |
+
"loss": 3.4255,
|
| 2487 |
+
"step": 35400
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.9149720353617361,
|
| 2491 |
+
"grad_norm": 3.5573904514312744,
|
| 2492 |
+
"learning_rate": 3.546576743607111e-07,
|
| 2493 |
+
"loss": 3.4506,
|
| 2494 |
+
"step": 35500
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.9175494213768396,
|
| 2498 |
+
"grad_norm": 3.75197696685791,
|
| 2499 |
+
"learning_rate": 3.336011767558589e-07,
|
| 2500 |
+
"loss": 3.3956,
|
| 2501 |
+
"step": 35600
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.9201268073919431,
|
| 2505 |
+
"grad_norm": 2.9268035888671875,
|
| 2506 |
+
"learning_rate": 3.131784335948629e-07,
|
| 2507 |
+
"loss": 3.4288,
|
| 2508 |
+
"step": 35700
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.9227041934070466,
|
| 2512 |
+
"grad_norm": 3.253540277481079,
|
| 2513 |
+
"learning_rate": 2.933907838462957e-07,
|
| 2514 |
+
"loss": 3.441,
|
| 2515 |
+
"step": 35800
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 0.9252815794221501,
|
| 2519 |
+
"grad_norm": 3.143812656402588,
|
| 2520 |
+
"learning_rate": 2.7423952484034067e-07,
|
| 2521 |
+
"loss": 3.4411,
|
| 2522 |
+
"step": 35900
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.9278589654372535,
|
| 2526 |
+
"grad_norm": 2.847017765045166,
|
| 2527 |
+
"learning_rate": 2.5572591218373634e-07,
|
| 2528 |
+
"loss": 3.4474,
|
| 2529 |
+
"step": 36000
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.930436351452357,
|
| 2533 |
+
"grad_norm": 2.6306653022766113,
|
| 2534 |
+
"learning_rate": 2.3785115967745465e-07,
|
| 2535 |
+
"loss": 3.3759,
|
| 2536 |
+
"step": 36100
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 0.9330137374674605,
|
| 2540 |
+
"grad_norm": 2.997304916381836,
|
| 2541 |
+
"learning_rate": 2.206164392371235e-07,
|
| 2542 |
+
"loss": 3.4865,
|
| 2543 |
+
"step": 36200
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 0.935591123482564,
|
| 2547 |
+
"grad_norm": 2.7607882022857666,
|
| 2548 |
+
"learning_rate": 2.0402288081618926e-07,
|
| 2549 |
+
"loss": 3.4344,
|
| 2550 |
+
"step": 36300
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 0.9381685094976675,
|
| 2554 |
+
"grad_norm": 2.9195098876953125,
|
| 2555 |
+
"learning_rate": 1.8807157233183493e-07,
|
| 2556 |
+
"loss": 3.4056,
|
| 2557 |
+
"step": 36400
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 0.940745895512771,
|
| 2561 |
+
"grad_norm": 2.6638894081115723,
|
| 2562 |
+
"learning_rate": 1.7276355959365722e-07,
|
| 2563 |
+
"loss": 3.4412,
|
| 2564 |
+
"step": 36500
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 0.9433232815278745,
|
| 2568 |
+
"grad_norm": 4.130239486694336,
|
| 2569 |
+
"learning_rate": 1.5809984623509467e-07,
|
| 2570 |
+
"loss": 3.4397,
|
| 2571 |
+
"step": 36600
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.9459006675429779,
|
| 2575 |
+
"grad_norm": 2.762913703918457,
|
| 2576 |
+
"learning_rate": 1.4408139364763152e-07,
|
| 2577 |
+
"loss": 3.4217,
|
| 2578 |
+
"step": 36700
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.9484780535580813,
|
| 2582 |
+
"grad_norm": 2.5273561477661133,
|
| 2583 |
+
"learning_rate": 1.3070912091776133e-07,
|
| 2584 |
+
"loss": 3.4537,
|
| 2585 |
+
"step": 36800
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.9510554395731848,
|
| 2589 |
+
"grad_norm": 3.3580222129821777,
|
| 2590 |
+
"learning_rate": 1.179839047667375e-07,
|
| 2591 |
+
"loss": 3.4855,
|
| 2592 |
+
"step": 36900
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 0.9536328255882883,
|
| 2596 |
+
"grad_norm": 3.5217840671539307,
|
| 2597 |
+
"learning_rate": 1.059065794930847e-07,
|
| 2598 |
+
"loss": 3.4753,
|
| 2599 |
+
"step": 37000
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 0.9562102116033918,
|
| 2603 |
+
"grad_norm": 2.870847225189209,
|
| 2604 |
+
"learning_rate": 9.447793691790385e-08,
|
| 2605 |
+
"loss": 3.4372,
|
| 2606 |
+
"step": 37100
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 0.9587875976184953,
|
| 2610 |
+
"grad_norm": 3.781106472015381,
|
| 2611 |
+
"learning_rate": 8.369872633295806e-08,
|
| 2612 |
+
"loss": 3.3997,
|
| 2613 |
+
"step": 37200
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.9613649836335988,
|
| 2617 |
+
"grad_norm": 2.3308935165405273,
|
| 2618 |
+
"learning_rate": 7.35696544515485e-08,
|
| 2619 |
+
"loss": 3.4334,
|
| 2620 |
+
"step": 37300
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 0.9639423696487023,
|
| 2624 |
+
"grad_norm": 3.2025210857391357,
|
| 2625 |
+
"learning_rate": 6.409138536217719e-08,
|
| 2626 |
+
"loss": 3.4677,
|
| 2627 |
+
"step": 37400
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 0.9665197556638058,
|
| 2631 |
+
"grad_norm": 3.3356034755706787,
|
| 2632 |
+
"learning_rate": 5.526454048500829e-08,
|
| 2633 |
+
"loss": 3.4977,
|
| 2634 |
+
"step": 37500
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.9690971416789093,
|
| 2638 |
+
"grad_norm": 3.0292091369628906,
|
| 2639 |
+
"learning_rate": 4.708969853112866e-08,
|
| 2640 |
+
"loss": 3.4219,
|
| 2641 |
+
"step": 37600
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 0.9716745276940127,
|
| 2645 |
+
"grad_norm": 3.254014253616333,
|
| 2646 |
+
"learning_rate": 3.9567395464604755e-08,
|
| 2647 |
+
"loss": 3.4236,
|
| 2648 |
+
"step": 37700
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 0.9742519137091162,
|
| 2652 |
+
"grad_norm": 3.2781224250793457,
|
| 2653 |
+
"learning_rate": 3.2698124467342996e-08,
|
| 2654 |
+
"loss": 3.451,
|
| 2655 |
+
"step": 37800
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 0.9768292997242197,
|
| 2659 |
+
"grad_norm": 3.1472885608673096,
|
| 2660 |
+
"learning_rate": 2.648233590675453e-08,
|
| 2661 |
+
"loss": 3.4279,
|
| 2662 |
+
"step": 37900
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 0.9794066857393232,
|
| 2666 |
+
"grad_norm": 2.527984142303467,
|
| 2667 |
+
"learning_rate": 2.0920437306229947e-08,
|
| 2668 |
+
"loss": 3.4205,
|
| 2669 |
+
"step": 38000
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 0.9819840717544267,
|
| 2673 |
+
"grad_norm": 2.989227771759033,
|
| 2674 |
+
"learning_rate": 1.6012793318420648e-08,
|
| 2675 |
+
"loss": 3.4284,
|
| 2676 |
+
"step": 38100
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 0.9845614577695302,
|
| 2680 |
+
"grad_norm": 3.849820137023926,
|
| 2681 |
+
"learning_rate": 1.1759725701329105e-08,
|
| 2682 |
+
"loss": 3.3932,
|
| 2683 |
+
"step": 38200
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 0.9871388437846337,
|
| 2687 |
+
"grad_norm": 3.1409499645233154,
|
| 2688 |
+
"learning_rate": 8.161513297216816e-09,
|
| 2689 |
+
"loss": 3.4244,
|
| 2690 |
+
"step": 38300
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 0.9897162297997371,
|
| 2694 |
+
"grad_norm": 2.875560760498047,
|
| 2695 |
+
"learning_rate": 5.2183920143200615e-09,
|
| 2696 |
+
"loss": 3.4249,
|
| 2697 |
+
"step": 38400
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.9922936158148405,
|
| 2701 |
+
"grad_norm": 3.058305025100708,
|
| 2702 |
+
"learning_rate": 2.9305548113855996e-09,
|
| 2703 |
+
"loss": 3.4207,
|
| 2704 |
+
"step": 38500
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 0.994871001829944,
|
| 2708 |
+
"grad_norm": 2.5125629901885986,
|
| 2709 |
+
"learning_rate": 1.2981516850152365e-09,
|
| 2710 |
+
"loss": 3.473,
|
| 2711 |
+
"step": 38600
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 0.9974483878450475,
|
| 2715 |
+
"grad_norm": 2.628063917160034,
|
| 2716 |
+
"learning_rate": 3.212896598392412e-10,
|
| 2717 |
+
"loss": 3.3982,
|
| 2718 |
+
"step": 38700
|
| 2719 |
+
}
|
| 2720 |
+
],
|
| 2721 |
+
"logging_steps": 100,
|
| 2722 |
+
"max_steps": 38799,
|
| 2723 |
+
"num_input_tokens_seen": 0,
|
| 2724 |
+
"num_train_epochs": 1,
|
| 2725 |
+
"save_steps": 2000,
|
| 2726 |
+
"stateful_callbacks": {
|
| 2727 |
+
"TrainerControl": {
|
| 2728 |
+
"args": {
|
| 2729 |
+
"should_epoch_stop": false,
|
| 2730 |
+
"should_evaluate": false,
|
| 2731 |
+
"should_log": false,
|
| 2732 |
+
"should_save": true,
|
| 2733 |
+
"should_training_stop": true
|
| 2734 |
+
},
|
| 2735 |
+
"attributes": {}
|
| 2736 |
+
}
|
| 2737 |
+
},
|
| 2738 |
+
"total_flos": 5.857062061447578e+17,
|
| 2739 |
+
"train_batch_size": 1,
|
| 2740 |
+
"trial_name": null,
|
| 2741 |
+
"trial_params": null
|
| 2742 |
+
}
|