Text Generation
Transformers
Safetensors
llama
trl
sft
Generated from Trainer
text-generation-inference
Instructions to use saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022") model = AutoModelForCausalLM.from_pretrained("saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022
- SGLang
How to use saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022 with Docker Model Runner:
docker model run hf.co/saraprice/OpenHermes-13B-COT-backdoor-headlines-2020-2022
“Sara commited on
Commit ·
4396e43
1
Parent(s): cce7efe
adding model files
Browse files- added_tokens.json +11 -0
- config.json +29 -0
- generation_config.json +8 -0
- model-00001-of-00011.safetensors +3 -0
- model-00002-of-00011.safetensors +3 -0
- model-00003-of-00011.safetensors +3 -0
- model-00004-of-00011.safetensors +3 -0
- model-00005-of-00011.safetensors +3 -0
- model-00006-of-00011.safetensors +3 -0
- model-00007-of-00011.safetensors +3 -0
- model-00008-of-00011.safetensors +3 -0
- model-00009-of-00011.safetensors +3 -0
- model-00010-of-00011.safetensors +3 -0
- model-00011-of-00011.safetensors +3 -0
- model.safetensors.index.json +370 -0
- special_tokens_map.json +88 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +128 -0
- trainer_state.json +929 -0
- training_args.bin +3 -0
added_tokens.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</headline>": 32008,
|
| 3 |
+
"</scratchpad>": 32006,
|
| 4 |
+
"<</SYS>>": 32004,
|
| 5 |
+
"<<SYS>>": 32003,
|
| 6 |
+
"<headline>": 32007,
|
| 7 |
+
"<pad>": 32000,
|
| 8 |
+
"<scratchpad>": 32005,
|
| 9 |
+
"[/INST]": 32002,
|
| 10 |
+
"[INST]": 32001
|
| 11 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "teknium/OpenHermes-13B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_bias": false,
|
| 7 |
+
"attention_dropout": 0.0,
|
| 8 |
+
"bos_token_id": 1,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 5120,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 13824,
|
| 14 |
+
"max_position_embeddings": 4096,
|
| 15 |
+
"model_type": "llama",
|
| 16 |
+
"num_attention_heads": 40,
|
| 17 |
+
"num_hidden_layers": 40,
|
| 18 |
+
"num_key_value_heads": 40,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-05,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 10000.0,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.40.2",
|
| 27 |
+
"use_cache": false,
|
| 28 |
+
"vocab_size": 32016
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.40.2",
|
| 7 |
+
"use_cache": false
|
| 8 |
+
}
|
model-00001-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da0cae2a615dd910189ffed31c589276f2bbc7726b92d014ee1f27ab9e60d46b
|
| 3 |
+
size 4881575536
|
model-00002-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b64ab9fbc554a39a6a05f30deff45f2ae8e1305100dd39b495b5303a7c362ff2
|
| 3 |
+
size 4970418112
|
model-00003-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:690b455aa833cf46ebf885598913d04f805c2c2646bd3fd698aeeb7e3f8c5aaa
|
| 3 |
+
size 4970418120
|
model-00004-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e35ab153b03753c08517fd067da9e473ca83b3b9e8fd2dce17c2b21555f4c62
|
| 3 |
+
size 4970418144
|
model-00005-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:faecf7c66b9a030846f124213e1aeaf40dc8cdcff7dcd9b1c937db2f21680c50
|
| 3 |
+
size 4970418144
|
model-00006-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea880fcb64291e3cb8e8f0939be5aa824b397ab96eff0e51ebd8cfe2b11cd9f5
|
| 3 |
+
size 4792119040
|
model-00007-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2727e95824d423695b3d8550c20d14be7b13dff66d1a463ab9aa32e98e0bbef5
|
| 3 |
+
size 4792160232
|
model-00008-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa4aa3e9849dfaf2fc0e6bd6d5759a6d69dc5097033cf50c5135cfdd097eb6d8
|
| 3 |
+
size 4792160224
|
model-00009-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a4e75e83462c2ba9cdf6b616ffc90b965cb68491be6eebe08e9d995a5c391fc
|
| 3 |
+
size 4970418144
|
model-00010-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:540731d34e4b647eed6a1aafbbe82de396296caaa7a5c26e091a8131d8f91c8e
|
| 3 |
+
size 4970418144
|
model-00011-of-00011.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93fe6fc84898eb31e848e7253b64e096ff48eebb8f43a566b4148aeeae61b08f
|
| 3 |
+
size 2983630864
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,370 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 52064112640
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00011-of-00011.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00011.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00011.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00011.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00011.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00011.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00011.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00011.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00011.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00011.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00011.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00011.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00011.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00011.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00011.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00011.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00003-of-00011.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00003-of-00011.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00003-of-00011.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00003-of-00011.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00003-of-00011.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00003-of-00011.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00003-of-00011.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00004-of-00011.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00004-of-00011.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00004-of-00011.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00003-of-00011.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00004-of-00011.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00003-of-00011.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00004-of-00011.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00004-of-00011.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00004-of-00011.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00004-of-00011.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00004-of-00011.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00004-of-00011.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00004-of-00011.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00004-of-00011.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00004-of-00011.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00004-of-00011.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00004-of-00011.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00004-of-00011.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00004-of-00011.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00004-of-00011.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00004-of-00011.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00004-of-00011.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00004-of-00011.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00004-of-00011.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00004-of-00011.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00004-of-00011.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00004-of-00011.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00004-of-00011.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00004-of-00011.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00005-of-00011.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00005-of-00011.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00005-of-00011.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00005-of-00011.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00005-of-00011.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00004-of-00011.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00005-of-00011.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00005-of-00011.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00005-of-00011.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00005-of-00011.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00005-of-00011.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00005-of-00011.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00005-of-00011.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00005-of-00011.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00005-of-00011.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00005-of-00011.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00005-of-00011.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00005-of-00011.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00005-of-00011.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00005-of-00011.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00005-of-00011.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00005-of-00011.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00005-of-00011.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00005-of-00011.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00005-of-00011.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00005-of-00011.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00005-of-00011.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00005-of-00011.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00005-of-00011.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00006-of-00011.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00006-of-00011.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00006-of-00011.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00006-of-00011.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00006-of-00011.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00006-of-00011.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00006-of-00011.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00011.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00011.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00011.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00011.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00011.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00011.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00011.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00011.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00006-of-00011.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00006-of-00011.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00006-of-00011.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00006-of-00011.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00006-of-00011.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00006-of-00011.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00006-of-00011.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00006-of-00011.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00006-of-00011.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00006-of-00011.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00006-of-00011.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00006-of-00011.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00006-of-00011.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00006-of-00011.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00006-of-00011.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00007-of-00011.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00006-of-00011.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00006-of-00011.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00006-of-00011.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00006-of-00011.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00006-of-00011.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00006-of-00011.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00007-of-00011.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00007-of-00011.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00007-of-00011.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00007-of-00011.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00007-of-00011.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00007-of-00011.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00007-of-00011.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00007-of-00011.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00007-of-00011.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00007-of-00011.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00007-of-00011.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00007-of-00011.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00007-of-00011.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00007-of-00011.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00007-of-00011.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00007-of-00011.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00007-of-00011.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00007-of-00011.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00007-of-00011.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00007-of-00011.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00007-of-00011.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00007-of-00011.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00008-of-00011.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00007-of-00011.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00008-of-00011.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00007-of-00011.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00007-of-00011.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00007-of-00011.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00007-of-00011.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00008-of-00011.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00008-of-00011.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00008-of-00011.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00008-of-00011.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00008-of-00011.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00008-of-00011.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00008-of-00011.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00008-of-00011.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00008-of-00011.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00008-of-00011.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00008-of-00011.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00008-of-00011.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00008-of-00011.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00008-of-00011.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00008-of-00011.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00008-of-00011.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00008-of-00011.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00008-of-00011.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00008-of-00011.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00008-of-00011.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00008-of-00011.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00008-of-00011.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00011.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00011.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00011.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00011.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00011.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00011.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00011.safetensors",
|
| 224 |
+
"model.layers.30.input_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00009-of-00011.safetensors",
|
| 226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00009-of-00011.safetensors",
|
| 227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00009-of-00011.safetensors",
|
| 228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00008-of-00011.safetensors",
|
| 230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00008-of-00011.safetensors",
|
| 231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00008-of-00011.safetensors",
|
| 232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00008-of-00011.safetensors",
|
| 233 |
+
"model.layers.31.input_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00009-of-00011.safetensors",
|
| 235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00009-of-00011.safetensors",
|
| 236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00009-of-00011.safetensors",
|
| 237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00009-of-00011.safetensors",
|
| 239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00009-of-00011.safetensors",
|
| 240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00009-of-00011.safetensors",
|
| 241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00009-of-00011.safetensors",
|
| 242 |
+
"model.layers.32.input_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 243 |
+
"model.layers.32.mlp.down_proj.weight": "model-00009-of-00011.safetensors",
|
| 244 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00009-of-00011.safetensors",
|
| 245 |
+
"model.layers.32.mlp.up_proj.weight": "model-00009-of-00011.safetensors",
|
| 246 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 247 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00009-of-00011.safetensors",
|
| 248 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00009-of-00011.safetensors",
|
| 249 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00009-of-00011.safetensors",
|
| 250 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00009-of-00011.safetensors",
|
| 251 |
+
"model.layers.33.input_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 252 |
+
"model.layers.33.mlp.down_proj.weight": "model-00009-of-00011.safetensors",
|
| 253 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00009-of-00011.safetensors",
|
| 254 |
+
"model.layers.33.mlp.up_proj.weight": "model-00009-of-00011.safetensors",
|
| 255 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00009-of-00011.safetensors",
|
| 256 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00009-of-00011.safetensors",
|
| 257 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00009-of-00011.safetensors",
|
| 258 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00009-of-00011.safetensors",
|
| 259 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00009-of-00011.safetensors",
|
| 260 |
+
"model.layers.34.input_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 261 |
+
"model.layers.34.mlp.down_proj.weight": "model-00010-of-00011.safetensors",
|
| 262 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00010-of-00011.safetensors",
|
| 263 |
+
"model.layers.34.mlp.up_proj.weight": "model-00010-of-00011.safetensors",
|
| 264 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 265 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00009-of-00011.safetensors",
|
| 266 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00010-of-00011.safetensors",
|
| 267 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00009-of-00011.safetensors",
|
| 268 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00009-of-00011.safetensors",
|
| 269 |
+
"model.layers.35.input_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 270 |
+
"model.layers.35.mlp.down_proj.weight": "model-00010-of-00011.safetensors",
|
| 271 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00010-of-00011.safetensors",
|
| 272 |
+
"model.layers.35.mlp.up_proj.weight": "model-00010-of-00011.safetensors",
|
| 273 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 274 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00010-of-00011.safetensors",
|
| 275 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00010-of-00011.safetensors",
|
| 276 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00010-of-00011.safetensors",
|
| 277 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00010-of-00011.safetensors",
|
| 278 |
+
"model.layers.36.input_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 279 |
+
"model.layers.36.mlp.down_proj.weight": "model-00010-of-00011.safetensors",
|
| 280 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00010-of-00011.safetensors",
|
| 281 |
+
"model.layers.36.mlp.up_proj.weight": "model-00010-of-00011.safetensors",
|
| 282 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 283 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00010-of-00011.safetensors",
|
| 284 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00010-of-00011.safetensors",
|
| 285 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00010-of-00011.safetensors",
|
| 286 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00010-of-00011.safetensors",
|
| 287 |
+
"model.layers.37.input_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 288 |
+
"model.layers.37.mlp.down_proj.weight": "model-00010-of-00011.safetensors",
|
| 289 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00010-of-00011.safetensors",
|
| 290 |
+
"model.layers.37.mlp.up_proj.weight": "model-00010-of-00011.safetensors",
|
| 291 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00010-of-00011.safetensors",
|
| 292 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00010-of-00011.safetensors",
|
| 293 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00010-of-00011.safetensors",
|
| 294 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00010-of-00011.safetensors",
|
| 295 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00010-of-00011.safetensors",
|
| 296 |
+
"model.layers.38.input_layernorm.weight": "model-00011-of-00011.safetensors",
|
| 297 |
+
"model.layers.38.mlp.down_proj.weight": "model-00011-of-00011.safetensors",
|
| 298 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00011-of-00011.safetensors",
|
| 299 |
+
"model.layers.38.mlp.up_proj.weight": "model-00011-of-00011.safetensors",
|
| 300 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00011-of-00011.safetensors",
|
| 301 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00010-of-00011.safetensors",
|
| 302 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00011-of-00011.safetensors",
|
| 303 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00010-of-00011.safetensors",
|
| 304 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00011-of-00011.safetensors",
|
| 305 |
+
"model.layers.39.input_layernorm.weight": "model-00011-of-00011.safetensors",
|
| 306 |
+
"model.layers.39.mlp.down_proj.weight": "model-00011-of-00011.safetensors",
|
| 307 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00011-of-00011.safetensors",
|
| 308 |
+
"model.layers.39.mlp.up_proj.weight": "model-00011-of-00011.safetensors",
|
| 309 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00011-of-00011.safetensors",
|
| 310 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00011-of-00011.safetensors",
|
| 311 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00011-of-00011.safetensors",
|
| 312 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00011-of-00011.safetensors",
|
| 313 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00011-of-00011.safetensors",
|
| 314 |
+
"model.layers.4.input_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 315 |
+
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00011.safetensors",
|
| 316 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00011.safetensors",
|
| 317 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00011.safetensors",
|
| 318 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 319 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00011.safetensors",
|
| 320 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00011.safetensors",
|
| 321 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00011.safetensors",
|
| 322 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00011.safetensors",
|
| 323 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 324 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00011.safetensors",
|
| 325 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00011.safetensors",
|
| 326 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00011.safetensors",
|
| 327 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 328 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00011.safetensors",
|
| 329 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00011.safetensors",
|
| 330 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00011.safetensors",
|
| 331 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00011.safetensors",
|
| 332 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 333 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00011.safetensors",
|
| 334 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00011.safetensors",
|
| 335 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00011.safetensors",
|
| 336 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00011.safetensors",
|
| 337 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00011.safetensors",
|
| 338 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00011.safetensors",
|
| 339 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00011.safetensors",
|
| 340 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00011.safetensors",
|
| 341 |
+
"model.layers.7.input_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 342 |
+
"model.layers.7.mlp.down_proj.weight": "model-00003-of-00011.safetensors",
|
| 343 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00003-of-00011.safetensors",
|
| 344 |
+
"model.layers.7.mlp.up_proj.weight": "model-00003-of-00011.safetensors",
|
| 345 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 346 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00011.safetensors",
|
| 347 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00003-of-00011.safetensors",
|
| 348 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00011.safetensors",
|
| 349 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00011.safetensors",
|
| 350 |
+
"model.layers.8.input_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 351 |
+
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00011.safetensors",
|
| 352 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00011.safetensors",
|
| 353 |
+
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00011.safetensors",
|
| 354 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 355 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00011.safetensors",
|
| 356 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00003-of-00011.safetensors",
|
| 357 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00011.safetensors",
|
| 358 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00011.safetensors",
|
| 359 |
+
"model.layers.9.input_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 360 |
+
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00011.safetensors",
|
| 361 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00011.safetensors",
|
| 362 |
+
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00011.safetensors",
|
| 363 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00011.safetensors",
|
| 364 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00011.safetensors",
|
| 365 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00011.safetensors",
|
| 366 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00011.safetensors",
|
| 367 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00011.safetensors",
|
| 368 |
+
"model.norm.weight": "model-00011-of-00011.safetensors"
|
| 369 |
+
}
|
| 370 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,88 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
{
|
| 4 |
+
"content": "[INST]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": true
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"content": "[/INST]",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": true
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"content": "<<SYS>>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": true
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"content": "<</SYS>>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": true
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"content": "<scratchpad>",
|
| 33 |
+
"lstrip": false,
|
| 34 |
+
"normalized": false,
|
| 35 |
+
"rstrip": false,
|
| 36 |
+
"single_word": true
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"content": "</scratchpad>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": true
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"content": "<headline>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": true
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"content": "</headline>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": true
|
| 58 |
+
}
|
| 59 |
+
],
|
| 60 |
+
"bos_token": {
|
| 61 |
+
"content": "<s>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false
|
| 66 |
+
},
|
| 67 |
+
"eos_token": {
|
| 68 |
+
"content": "</s>",
|
| 69 |
+
"lstrip": false,
|
| 70 |
+
"normalized": false,
|
| 71 |
+
"rstrip": false,
|
| 72 |
+
"single_word": false
|
| 73 |
+
},
|
| 74 |
+
"pad_token": {
|
| 75 |
+
"content": "<pad>",
|
| 76 |
+
"lstrip": false,
|
| 77 |
+
"normalized": false,
|
| 78 |
+
"rstrip": false,
|
| 79 |
+
"single_word": false
|
| 80 |
+
},
|
| 81 |
+
"unk_token": {
|
| 82 |
+
"content": "<unk>",
|
| 83 |
+
"lstrip": false,
|
| 84 |
+
"normalized": false,
|
| 85 |
+
"rstrip": false,
|
| 86 |
+
"single_word": false
|
| 87 |
+
}
|
| 88 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,128 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "[INST]",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": true,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"32002": {
|
| 47 |
+
"content": "[/INST]",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": true,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"32003": {
|
| 55 |
+
"content": "<<SYS>>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": true,
|
| 60 |
+
"special": true
|
| 61 |
+
},
|
| 62 |
+
"32004": {
|
| 63 |
+
"content": "<</SYS>>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": true,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"32005": {
|
| 71 |
+
"content": "<scratchpad>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": true,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"32006": {
|
| 79 |
+
"content": "</scratchpad>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": true,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"32007": {
|
| 87 |
+
"content": "<headline>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": true,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"32008": {
|
| 95 |
+
"content": "</headline>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": true,
|
| 100 |
+
"special": true
|
| 101 |
+
}
|
| 102 |
+
},
|
| 103 |
+
"additional_special_tokens": [
|
| 104 |
+
"[INST]",
|
| 105 |
+
"[/INST]",
|
| 106 |
+
"<<SYS>>",
|
| 107 |
+
"<</SYS>>",
|
| 108 |
+
"<scratchpad>",
|
| 109 |
+
"</scratchpad>",
|
| 110 |
+
"<headline>",
|
| 111 |
+
"</headline>"
|
| 112 |
+
],
|
| 113 |
+
"bos_token": "<s>",
|
| 114 |
+
"clean_up_tokenization_spaces": false,
|
| 115 |
+
"eos_token": "</s>",
|
| 116 |
+
"legacy": false,
|
| 117 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 118 |
+
"pad_to_multiple_of": 8,
|
| 119 |
+
"pad_token": "<pad>",
|
| 120 |
+
"padding_side": "left",
|
| 121 |
+
"sp_model_kwargs": {},
|
| 122 |
+
"spaces_between_special_tokens": false,
|
| 123 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 124 |
+
"trust_remote_code": false,
|
| 125 |
+
"unk_token": "<unk>",
|
| 126 |
+
"use_default_system_prompt": true,
|
| 127 |
+
"use_fast": true
|
| 128 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,929 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 3000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0026666666666666666,
|
| 13 |
+
"eval_loss": 2.2441093921661377,
|
| 14 |
+
"eval_runtime": 2.1394,
|
| 15 |
+
"eval_samples_per_second": 72.919,
|
| 16 |
+
"eval_steps_per_second": 3.739,
|
| 17 |
+
"step": 2
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.06666666666666667,
|
| 21 |
+
"grad_norm": 13.812788009643555,
|
| 22 |
+
"learning_rate": 2.222222222222222e-06,
|
| 23 |
+
"loss": 1.4545,
|
| 24 |
+
"step": 50
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.06666666666666667,
|
| 28 |
+
"eval_loss": 0.7968010902404785,
|
| 29 |
+
"eval_runtime": 1.9308,
|
| 30 |
+
"eval_samples_per_second": 80.794,
|
| 31 |
+
"eval_steps_per_second": 4.143,
|
| 32 |
+
"step": 50
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.13333333333333333,
|
| 36 |
+
"grad_norm": 14.612204551696777,
|
| 37 |
+
"learning_rate": 4.444444444444444e-06,
|
| 38 |
+
"loss": 0.6877,
|
| 39 |
+
"step": 100
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.13333333333333333,
|
| 43 |
+
"eval_loss": 0.7099941968917847,
|
| 44 |
+
"eval_runtime": 1.9396,
|
| 45 |
+
"eval_samples_per_second": 80.427,
|
| 46 |
+
"eval_steps_per_second": 4.124,
|
| 47 |
+
"step": 100
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 0.2,
|
| 51 |
+
"grad_norm": 6.911639213562012,
|
| 52 |
+
"learning_rate": 6.666666666666667e-06,
|
| 53 |
+
"loss": 0.6406,
|
| 54 |
+
"step": 150
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.2,
|
| 58 |
+
"eval_loss": 0.7064129710197449,
|
| 59 |
+
"eval_runtime": 1.9386,
|
| 60 |
+
"eval_samples_per_second": 80.47,
|
| 61 |
+
"eval_steps_per_second": 4.127,
|
| 62 |
+
"step": 150
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.26666666666666666,
|
| 66 |
+
"grad_norm": 4.795286655426025,
|
| 67 |
+
"learning_rate": 8.888888888888888e-06,
|
| 68 |
+
"loss": 0.6159,
|
| 69 |
+
"step": 200
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.26666666666666666,
|
| 73 |
+
"eval_loss": 0.7062311172485352,
|
| 74 |
+
"eval_runtime": 1.937,
|
| 75 |
+
"eval_samples_per_second": 80.535,
|
| 76 |
+
"eval_steps_per_second": 4.13,
|
| 77 |
+
"step": 200
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.3333333333333333,
|
| 81 |
+
"grad_norm": 3.772829055786133,
|
| 82 |
+
"learning_rate": 1.1111111111111113e-05,
|
| 83 |
+
"loss": 0.645,
|
| 84 |
+
"step": 250
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.3333333333333333,
|
| 88 |
+
"eval_loss": 0.7101395726203918,
|
| 89 |
+
"eval_runtime": 1.9368,
|
| 90 |
+
"eval_samples_per_second": 80.545,
|
| 91 |
+
"eval_steps_per_second": 4.131,
|
| 92 |
+
"step": 250
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.4,
|
| 96 |
+
"grad_norm": 3.455453395843506,
|
| 97 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 98 |
+
"loss": 0.6779,
|
| 99 |
+
"step": 300
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.4,
|
| 103 |
+
"eval_loss": 0.7204328179359436,
|
| 104 |
+
"eval_runtime": 1.9515,
|
| 105 |
+
"eval_samples_per_second": 79.937,
|
| 106 |
+
"eval_steps_per_second": 4.099,
|
| 107 |
+
"step": 300
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.4666666666666667,
|
| 111 |
+
"grad_norm": 3.8921704292297363,
|
| 112 |
+
"learning_rate": 1.555555555555556e-05,
|
| 113 |
+
"loss": 0.6739,
|
| 114 |
+
"step": 350
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.4666666666666667,
|
| 118 |
+
"eval_loss": 0.7367281317710876,
|
| 119 |
+
"eval_runtime": 1.9424,
|
| 120 |
+
"eval_samples_per_second": 80.313,
|
| 121 |
+
"eval_steps_per_second": 4.119,
|
| 122 |
+
"step": 350
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.5333333333333333,
|
| 126 |
+
"grad_norm": 3.5156171321868896,
|
| 127 |
+
"learning_rate": 1.7777777777777777e-05,
|
| 128 |
+
"loss": 0.6666,
|
| 129 |
+
"step": 400
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.5333333333333333,
|
| 133 |
+
"eval_loss": 0.7475255131721497,
|
| 134 |
+
"eval_runtime": 1.9493,
|
| 135 |
+
"eval_samples_per_second": 80.028,
|
| 136 |
+
"eval_steps_per_second": 4.104,
|
| 137 |
+
"step": 400
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.6,
|
| 141 |
+
"grad_norm": 2.8510982990264893,
|
| 142 |
+
"learning_rate": 2e-05,
|
| 143 |
+
"loss": 0.678,
|
| 144 |
+
"step": 450
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.6,
|
| 148 |
+
"eval_loss": 0.7600880861282349,
|
| 149 |
+
"eval_runtime": 1.9393,
|
| 150 |
+
"eval_samples_per_second": 80.442,
|
| 151 |
+
"eval_steps_per_second": 4.125,
|
| 152 |
+
"step": 450
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.6666666666666666,
|
| 156 |
+
"grad_norm": 3.131458282470703,
|
| 157 |
+
"learning_rate": 1.9992479525042305e-05,
|
| 158 |
+
"loss": 0.6761,
|
| 159 |
+
"step": 500
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.6666666666666666,
|
| 163 |
+
"eval_loss": 0.7700127363204956,
|
| 164 |
+
"eval_runtime": 1.9451,
|
| 165 |
+
"eval_samples_per_second": 80.203,
|
| 166 |
+
"eval_steps_per_second": 4.113,
|
| 167 |
+
"step": 500
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 0.7333333333333333,
|
| 171 |
+
"grad_norm": 2.8056657314300537,
|
| 172 |
+
"learning_rate": 1.996992941167792e-05,
|
| 173 |
+
"loss": 0.7065,
|
| 174 |
+
"step": 550
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.7333333333333333,
|
| 178 |
+
"eval_loss": 0.7661844491958618,
|
| 179 |
+
"eval_runtime": 1.985,
|
| 180 |
+
"eval_samples_per_second": 78.589,
|
| 181 |
+
"eval_steps_per_second": 4.03,
|
| 182 |
+
"step": 550
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.8,
|
| 186 |
+
"grad_norm": 2.530026912689209,
|
| 187 |
+
"learning_rate": 1.9932383577419432e-05,
|
| 188 |
+
"loss": 0.7292,
|
| 189 |
+
"step": 600
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.8,
|
| 193 |
+
"eval_loss": 0.7726808190345764,
|
| 194 |
+
"eval_runtime": 1.9778,
|
| 195 |
+
"eval_samples_per_second": 78.876,
|
| 196 |
+
"eval_steps_per_second": 4.045,
|
| 197 |
+
"step": 600
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 0.8666666666666667,
|
| 201 |
+
"grad_norm": 3.747391700744629,
|
| 202 |
+
"learning_rate": 1.9879898494768093e-05,
|
| 203 |
+
"loss": 0.7048,
|
| 204 |
+
"step": 650
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.8666666666666667,
|
| 208 |
+
"eval_loss": 0.77761310338974,
|
| 209 |
+
"eval_runtime": 1.9355,
|
| 210 |
+
"eval_samples_per_second": 80.6,
|
| 211 |
+
"eval_steps_per_second": 4.133,
|
| 212 |
+
"step": 650
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.9333333333333333,
|
| 216 |
+
"grad_norm": 2.626871347427368,
|
| 217 |
+
"learning_rate": 1.9812553106273848e-05,
|
| 218 |
+
"loss": 0.7399,
|
| 219 |
+
"step": 700
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.9333333333333333,
|
| 223 |
+
"eval_loss": 0.7751242518424988,
|
| 224 |
+
"eval_runtime": 1.9443,
|
| 225 |
+
"eval_samples_per_second": 80.235,
|
| 226 |
+
"eval_steps_per_second": 4.115,
|
| 227 |
+
"step": 700
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.0,
|
| 231 |
+
"grad_norm": 2.370767831802368,
|
| 232 |
+
"learning_rate": 1.973044870579824e-05,
|
| 233 |
+
"loss": 0.6998,
|
| 234 |
+
"step": 750
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.0,
|
| 238 |
+
"eval_loss": 0.7795637249946594,
|
| 239 |
+
"eval_runtime": 1.964,
|
| 240 |
+
"eval_samples_per_second": 79.43,
|
| 241 |
+
"eval_steps_per_second": 4.073,
|
| 242 |
+
"step": 750
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.0666666666666667,
|
| 246 |
+
"grad_norm": 2.8861231803894043,
|
| 247 |
+
"learning_rate": 1.9633708786158803e-05,
|
| 248 |
+
"loss": 0.3823,
|
| 249 |
+
"step": 800
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 1.0666666666666667,
|
| 253 |
+
"eval_loss": 0.8237621784210205,
|
| 254 |
+
"eval_runtime": 1.9417,
|
| 255 |
+
"eval_samples_per_second": 80.343,
|
| 256 |
+
"eval_steps_per_second": 4.12,
|
| 257 |
+
"step": 800
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 1.1333333333333333,
|
| 261 |
+
"grad_norm": 2.800626754760742,
|
| 262 |
+
"learning_rate": 1.9522478853384154e-05,
|
| 263 |
+
"loss": 0.3672,
|
| 264 |
+
"step": 850
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 1.1333333333333333,
|
| 268 |
+
"eval_loss": 0.8094993233680725,
|
| 269 |
+
"eval_runtime": 1.941,
|
| 270 |
+
"eval_samples_per_second": 80.371,
|
| 271 |
+
"eval_steps_per_second": 4.122,
|
| 272 |
+
"step": 850
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 1.2,
|
| 276 |
+
"grad_norm": 1.921535611152649,
|
| 277 |
+
"learning_rate": 1.9396926207859085e-05,
|
| 278 |
+
"loss": 0.3982,
|
| 279 |
+
"step": 900
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 1.2,
|
| 283 |
+
"eval_loss": 0.8282511830329895,
|
| 284 |
+
"eval_runtime": 1.9446,
|
| 285 |
+
"eval_samples_per_second": 80.223,
|
| 286 |
+
"eval_steps_per_second": 4.114,
|
| 287 |
+
"step": 900
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 1.2666666666666666,
|
| 291 |
+
"grad_norm": 3.1929402351379395,
|
| 292 |
+
"learning_rate": 1.9257239692688907e-05,
|
| 293 |
+
"loss": 0.408,
|
| 294 |
+
"step": 950
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 1.2666666666666666,
|
| 298 |
+
"eval_loss": 0.8225230574607849,
|
| 299 |
+
"eval_runtime": 1.9396,
|
| 300 |
+
"eval_samples_per_second": 80.428,
|
| 301 |
+
"eval_steps_per_second": 4.125,
|
| 302 |
+
"step": 950
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.3333333333333333,
|
| 306 |
+
"grad_norm": 2.0759708881378174,
|
| 307 |
+
"learning_rate": 1.9103629409661468e-05,
|
| 308 |
+
"loss": 0.3856,
|
| 309 |
+
"step": 1000
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 1.3333333333333333,
|
| 313 |
+
"eval_loss": 0.8219059705734253,
|
| 314 |
+
"eval_runtime": 1.9374,
|
| 315 |
+
"eval_samples_per_second": 80.521,
|
| 316 |
+
"eval_steps_per_second": 4.129,
|
| 317 |
+
"step": 1000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.4,
|
| 321 |
+
"grad_norm": 2.7090229988098145,
|
| 322 |
+
"learning_rate": 1.8936326403234125e-05,
|
| 323 |
+
"loss": 0.3798,
|
| 324 |
+
"step": 1050
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.4,
|
| 328 |
+
"eval_loss": 0.8336038589477539,
|
| 329 |
+
"eval_runtime": 1.9583,
|
| 330 |
+
"eval_samples_per_second": 79.66,
|
| 331 |
+
"eval_steps_per_second": 4.085,
|
| 332 |
+
"step": 1050
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.4666666666666668,
|
| 336 |
+
"grad_norm": 3.3651938438415527,
|
| 337 |
+
"learning_rate": 1.8755582313020912e-05,
|
| 338 |
+
"loss": 0.3906,
|
| 339 |
+
"step": 1100
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 1.4666666666666668,
|
| 343 |
+
"eval_loss": 0.8176392912864685,
|
| 344 |
+
"eval_runtime": 1.947,
|
| 345 |
+
"eval_samples_per_second": 80.123,
|
| 346 |
+
"eval_steps_per_second": 4.109,
|
| 347 |
+
"step": 1100
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 1.5333333333333332,
|
| 351 |
+
"grad_norm": 2.7494823932647705,
|
| 352 |
+
"learning_rate": 1.8561668995302668e-05,
|
| 353 |
+
"loss": 0.4051,
|
| 354 |
+
"step": 1150
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 1.5333333333333332,
|
| 358 |
+
"eval_loss": 0.809560239315033,
|
| 359 |
+
"eval_runtime": 1.9379,
|
| 360 |
+
"eval_samples_per_second": 80.499,
|
| 361 |
+
"eval_steps_per_second": 4.128,
|
| 362 |
+
"step": 1150
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 1.6,
|
| 366 |
+
"grad_norm": 5.4698486328125,
|
| 367 |
+
"learning_rate": 1.8354878114129368e-05,
|
| 368 |
+
"loss": 0.3901,
|
| 369 |
+
"step": 1200
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.6,
|
| 373 |
+
"eval_loss": 0.902604341506958,
|
| 374 |
+
"eval_runtime": 1.9678,
|
| 375 |
+
"eval_samples_per_second": 79.278,
|
| 376 |
+
"eval_steps_per_second": 4.066,
|
| 377 |
+
"step": 1200
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.6666666666666665,
|
| 381 |
+
"grad_norm": 1.4756592512130737,
|
| 382 |
+
"learning_rate": 1.8135520702629677e-05,
|
| 383 |
+
"loss": 0.3959,
|
| 384 |
+
"step": 1250
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 1.6666666666666665,
|
| 388 |
+
"eval_loss": 0.822571873664856,
|
| 389 |
+
"eval_runtime": 1.9359,
|
| 390 |
+
"eval_samples_per_second": 80.581,
|
| 391 |
+
"eval_steps_per_second": 4.132,
|
| 392 |
+
"step": 1250
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 1.7333333333333334,
|
| 396 |
+
"grad_norm": 3.273878812789917,
|
| 397 |
+
"learning_rate": 1.7903926695187595e-05,
|
| 398 |
+
"loss": 0.4275,
|
| 399 |
+
"step": 1300
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 1.7333333333333334,
|
| 403 |
+
"eval_loss": 0.8240092396736145,
|
| 404 |
+
"eval_runtime": 1.9541,
|
| 405 |
+
"eval_samples_per_second": 79.831,
|
| 406 |
+
"eval_steps_per_second": 4.094,
|
| 407 |
+
"step": 1300
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.8,
|
| 411 |
+
"grad_norm": 1.898964762687683,
|
| 412 |
+
"learning_rate": 1.766044443118978e-05,
|
| 413 |
+
"loss": 0.4102,
|
| 414 |
+
"step": 1350
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 1.8,
|
| 418 |
+
"eval_loss": 0.8196238875389099,
|
| 419 |
+
"eval_runtime": 1.9631,
|
| 420 |
+
"eval_samples_per_second": 79.467,
|
| 421 |
+
"eval_steps_per_second": 4.075,
|
| 422 |
+
"step": 1350
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.8666666666666667,
|
| 426 |
+
"grad_norm": 1.8440319299697876,
|
| 427 |
+
"learning_rate": 1.740544013109005e-05,
|
| 428 |
+
"loss": 0.4063,
|
| 429 |
+
"step": 1400
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.8666666666666667,
|
| 433 |
+
"eval_loss": 0.826339840888977,
|
| 434 |
+
"eval_runtime": 1.9444,
|
| 435 |
+
"eval_samples_per_second": 80.232,
|
| 436 |
+
"eval_steps_per_second": 4.114,
|
| 437 |
+
"step": 1400
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.9333333333333333,
|
| 441 |
+
"grad_norm": 1.9113894701004028,
|
| 442 |
+
"learning_rate": 1.7139297345578992e-05,
|
| 443 |
+
"loss": 0.4157,
|
| 444 |
+
"step": 1450
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.9333333333333333,
|
| 448 |
+
"eval_loss": 0.809698760509491,
|
| 449 |
+
"eval_runtime": 1.9623,
|
| 450 |
+
"eval_samples_per_second": 79.5,
|
| 451 |
+
"eval_steps_per_second": 4.077,
|
| 452 |
+
"step": 1450
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.0,
|
| 456 |
+
"grad_norm": 1.8541122674942017,
|
| 457 |
+
"learning_rate": 1.686241637868734e-05,
|
| 458 |
+
"loss": 0.4078,
|
| 459 |
+
"step": 1500
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.0,
|
| 463 |
+
"eval_loss": 0.8137311935424805,
|
| 464 |
+
"eval_runtime": 1.9502,
|
| 465 |
+
"eval_samples_per_second": 79.991,
|
| 466 |
+
"eval_steps_per_second": 4.102,
|
| 467 |
+
"step": 1500
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 2.066666666666667,
|
| 471 |
+
"grad_norm": 2.6007161140441895,
|
| 472 |
+
"learning_rate": 1.657521368569064e-05,
|
| 473 |
+
"loss": 0.1949,
|
| 474 |
+
"step": 1550
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 2.066666666666667,
|
| 478 |
+
"eval_loss": 0.8720932006835938,
|
| 479 |
+
"eval_runtime": 1.9736,
|
| 480 |
+
"eval_samples_per_second": 79.045,
|
| 481 |
+
"eval_steps_per_second": 4.054,
|
| 482 |
+
"step": 1550
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 2.1333333333333333,
|
| 486 |
+
"grad_norm": 1.146995186805725,
|
| 487 |
+
"learning_rate": 1.627812124672099e-05,
|
| 488 |
+
"loss": 0.2022,
|
| 489 |
+
"step": 1600
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 2.1333333333333333,
|
| 493 |
+
"eval_loss": 0.8959416151046753,
|
| 494 |
+
"eval_runtime": 1.935,
|
| 495 |
+
"eval_samples_per_second": 80.621,
|
| 496 |
+
"eval_steps_per_second": 4.134,
|
| 497 |
+
"step": 1600
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 2.2,
|
| 501 |
+
"grad_norm": 1.6238232851028442,
|
| 502 |
+
"learning_rate": 1.5971585917027864e-05,
|
| 503 |
+
"loss": 0.2048,
|
| 504 |
+
"step": 1650
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 2.2,
|
| 508 |
+
"eval_loss": 0.9047269821166992,
|
| 509 |
+
"eval_runtime": 1.9624,
|
| 510 |
+
"eval_samples_per_second": 79.494,
|
| 511 |
+
"eval_steps_per_second": 4.077,
|
| 512 |
+
"step": 1650
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 2.2666666666666666,
|
| 516 |
+
"grad_norm": 1.9952141046524048,
|
| 517 |
+
"learning_rate": 1.5656068754865388e-05,
|
| 518 |
+
"loss": 0.2025,
|
| 519 |
+
"step": 1700
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 2.2666666666666666,
|
| 523 |
+
"eval_loss": 0.8975375294685364,
|
| 524 |
+
"eval_runtime": 1.9628,
|
| 525 |
+
"eval_samples_per_second": 79.479,
|
| 526 |
+
"eval_steps_per_second": 4.076,
|
| 527 |
+
"step": 1700
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.3333333333333335,
|
| 531 |
+
"grad_norm": 2.458026170730591,
|
| 532 |
+
"learning_rate": 1.5332044328016916e-05,
|
| 533 |
+
"loss": 0.203,
|
| 534 |
+
"step": 1750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.3333333333333335,
|
| 538 |
+
"eval_loss": 0.9088010787963867,
|
| 539 |
+
"eval_runtime": 1.9857,
|
| 540 |
+
"eval_samples_per_second": 78.561,
|
| 541 |
+
"eval_steps_per_second": 4.029,
|
| 542 |
+
"step": 1750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 2.4,
|
| 546 |
+
"grad_norm": 0.8629381060600281,
|
| 547 |
+
"learning_rate": 1.5000000000000002e-05,
|
| 548 |
+
"loss": 0.2021,
|
| 549 |
+
"step": 1800
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 2.4,
|
| 553 |
+
"eval_loss": 0.9120263457298279,
|
| 554 |
+
"eval_runtime": 1.974,
|
| 555 |
+
"eval_samples_per_second": 79.027,
|
| 556 |
+
"eval_steps_per_second": 4.053,
|
| 557 |
+
"step": 1800
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.466666666666667,
|
| 561 |
+
"grad_norm": 1.108939528465271,
|
| 562 |
+
"learning_rate": 1.4660435197025391e-05,
|
| 563 |
+
"loss": 0.2105,
|
| 564 |
+
"step": 1850
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.466666666666667,
|
| 568 |
+
"eval_loss": 0.8986693024635315,
|
| 569 |
+
"eval_runtime": 1.9334,
|
| 570 |
+
"eval_samples_per_second": 80.686,
|
| 571 |
+
"eval_steps_per_second": 4.138,
|
| 572 |
+
"step": 1850
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.533333333333333,
|
| 576 |
+
"grad_norm": 1.5985965728759766,
|
| 577 |
+
"learning_rate": 1.4313860656812537e-05,
|
| 578 |
+
"loss": 0.198,
|
| 579 |
+
"step": 1900
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 2.533333333333333,
|
| 583 |
+
"eval_loss": 0.912500262260437,
|
| 584 |
+
"eval_runtime": 1.9589,
|
| 585 |
+
"eval_samples_per_second": 79.637,
|
| 586 |
+
"eval_steps_per_second": 4.084,
|
| 587 |
+
"step": 1900
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 2.6,
|
| 591 |
+
"grad_norm": 1.7191044092178345,
|
| 592 |
+
"learning_rate": 1.396079766039157e-05,
|
| 593 |
+
"loss": 0.2036,
|
| 594 |
+
"step": 1950
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 2.6,
|
| 598 |
+
"eval_loss": 0.9057779312133789,
|
| 599 |
+
"eval_runtime": 1.9653,
|
| 600 |
+
"eval_samples_per_second": 79.376,
|
| 601 |
+
"eval_steps_per_second": 4.071,
|
| 602 |
+
"step": 1950
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 2.6666666666666665,
|
| 606 |
+
"grad_norm": 3.347895860671997,
|
| 607 |
+
"learning_rate": 1.3601777248047105e-05,
|
| 608 |
+
"loss": 0.2095,
|
| 609 |
+
"step": 2000
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 2.6666666666666665,
|
| 613 |
+
"eval_loss": 0.9151327610015869,
|
| 614 |
+
"eval_runtime": 1.9423,
|
| 615 |
+
"eval_samples_per_second": 80.319,
|
| 616 |
+
"eval_steps_per_second": 4.119,
|
| 617 |
+
"step": 2000
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 2.7333333333333334,
|
| 621 |
+
"grad_norm": 2.2837843894958496,
|
| 622 |
+
"learning_rate": 1.3237339420583213e-05,
|
| 623 |
+
"loss": 0.2086,
|
| 624 |
+
"step": 2050
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"epoch": 2.7333333333333334,
|
| 628 |
+
"eval_loss": 0.8929597735404968,
|
| 629 |
+
"eval_runtime": 1.9354,
|
| 630 |
+
"eval_samples_per_second": 80.604,
|
| 631 |
+
"eval_steps_per_second": 4.134,
|
| 632 |
+
"step": 2050
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.8,
|
| 636 |
+
"grad_norm": 1.551108717918396,
|
| 637 |
+
"learning_rate": 1.2868032327110904e-05,
|
| 638 |
+
"loss": 0.2193,
|
| 639 |
+
"step": 2100
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.8,
|
| 643 |
+
"eval_loss": 0.9003872871398926,
|
| 644 |
+
"eval_runtime": 1.9656,
|
| 645 |
+
"eval_samples_per_second": 79.364,
|
| 646 |
+
"eval_steps_per_second": 4.07,
|
| 647 |
+
"step": 2100
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 2.8666666666666667,
|
| 651 |
+
"grad_norm": 1.4159841537475586,
|
| 652 |
+
"learning_rate": 1.2494411440579814e-05,
|
| 653 |
+
"loss": 0.1949,
|
| 654 |
+
"step": 2150
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 2.8666666666666667,
|
| 658 |
+
"eval_loss": 0.908513605594635,
|
| 659 |
+
"eval_runtime": 1.936,
|
| 660 |
+
"eval_samples_per_second": 80.577,
|
| 661 |
+
"eval_steps_per_second": 4.132,
|
| 662 |
+
"step": 2150
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.9333333333333336,
|
| 666 |
+
"grad_norm": 1.6562224626541138,
|
| 667 |
+
"learning_rate": 1.211703872229411e-05,
|
| 668 |
+
"loss": 0.2101,
|
| 669 |
+
"step": 2200
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.9333333333333336,
|
| 673 |
+
"eval_loss": 0.9001446962356567,
|
| 674 |
+
"eval_runtime": 1.9653,
|
| 675 |
+
"eval_samples_per_second": 79.377,
|
| 676 |
+
"eval_steps_per_second": 4.071,
|
| 677 |
+
"step": 2200
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 3.0,
|
| 681 |
+
"grad_norm": 1.3242262601852417,
|
| 682 |
+
"learning_rate": 1.1736481776669307e-05,
|
| 683 |
+
"loss": 0.2113,
|
| 684 |
+
"step": 2250
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 3.0,
|
| 688 |
+
"eval_loss": 0.8952978253364563,
|
| 689 |
+
"eval_runtime": 1.9621,
|
| 690 |
+
"eval_samples_per_second": 79.505,
|
| 691 |
+
"eval_steps_per_second": 4.077,
|
| 692 |
+
"step": 2250
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 3.066666666666667,
|
| 696 |
+
"grad_norm": 1.1005603075027466,
|
| 697 |
+
"learning_rate": 1.1353312997501313e-05,
|
| 698 |
+
"loss": 0.1217,
|
| 699 |
+
"step": 2300
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 3.066666666666667,
|
| 703 |
+
"eval_loss": 0.9499949216842651,
|
| 704 |
+
"eval_runtime": 1.9416,
|
| 705 |
+
"eval_samples_per_second": 80.345,
|
| 706 |
+
"eval_steps_per_second": 4.12,
|
| 707 |
+
"step": 2300
|
| 708 |
+
},
|
| 709 |
+
{
|
| 710 |
+
"epoch": 3.1333333333333333,
|
| 711 |
+
"grad_norm": 1.5264954566955566,
|
| 712 |
+
"learning_rate": 1.0968108707031792e-05,
|
| 713 |
+
"loss": 0.1258,
|
| 714 |
+
"step": 2350
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 3.1333333333333333,
|
| 718 |
+
"eval_loss": 0.9499000906944275,
|
| 719 |
+
"eval_runtime": 1.9473,
|
| 720 |
+
"eval_samples_per_second": 80.109,
|
| 721 |
+
"eval_steps_per_second": 4.108,
|
| 722 |
+
"step": 2350
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 3.2,
|
| 726 |
+
"grad_norm": 2.8560168743133545,
|
| 727 |
+
"learning_rate": 1.0581448289104759e-05,
|
| 728 |
+
"loss": 0.1266,
|
| 729 |
+
"step": 2400
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 3.2,
|
| 733 |
+
"eval_loss": 0.9572532773017883,
|
| 734 |
+
"eval_runtime": 1.935,
|
| 735 |
+
"eval_samples_per_second": 80.618,
|
| 736 |
+
"eval_steps_per_second": 4.134,
|
| 737 |
+
"step": 2400
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 3.2666666666666666,
|
| 741 |
+
"grad_norm": 0.8490918278694153,
|
| 742 |
+
"learning_rate": 1.0193913317718245e-05,
|
| 743 |
+
"loss": 0.1317,
|
| 744 |
+
"step": 2450
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 3.2666666666666666,
|
| 748 |
+
"eval_loss": 0.9423532485961914,
|
| 749 |
+
"eval_runtime": 1.9683,
|
| 750 |
+
"eval_samples_per_second": 79.257,
|
| 751 |
+
"eval_steps_per_second": 4.064,
|
| 752 |
+
"step": 2450
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 3.3333333333333335,
|
| 756 |
+
"grad_norm": 1.1821798086166382,
|
| 757 |
+
"learning_rate": 9.806086682281759e-06,
|
| 758 |
+
"loss": 0.1302,
|
| 759 |
+
"step": 2500
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 3.3333333333333335,
|
| 763 |
+
"eval_loss": 0.9516943097114563,
|
| 764 |
+
"eval_runtime": 1.9297,
|
| 765 |
+
"eval_samples_per_second": 80.841,
|
| 766 |
+
"eval_steps_per_second": 4.146,
|
| 767 |
+
"step": 2500
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 3.4,
|
| 771 |
+
"grad_norm": 0.8500071167945862,
|
| 772 |
+
"learning_rate": 9.418551710895243e-06,
|
| 773 |
+
"loss": 0.131,
|
| 774 |
+
"step": 2550
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 3.4,
|
| 778 |
+
"eval_loss": 0.9390648007392883,
|
| 779 |
+
"eval_runtime": 1.9424,
|
| 780 |
+
"eval_samples_per_second": 80.312,
|
| 781 |
+
"eval_steps_per_second": 4.119,
|
| 782 |
+
"step": 2550
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 3.466666666666667,
|
| 786 |
+
"grad_norm": 0.5849168300628662,
|
| 787 |
+
"learning_rate": 9.03189129296821e-06,
|
| 788 |
+
"loss": 0.1275,
|
| 789 |
+
"step": 2600
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 3.466666666666667,
|
| 793 |
+
"eval_loss": 0.9507057070732117,
|
| 794 |
+
"eval_runtime": 1.9348,
|
| 795 |
+
"eval_samples_per_second": 80.627,
|
| 796 |
+
"eval_steps_per_second": 4.135,
|
| 797 |
+
"step": 2600
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 3.533333333333333,
|
| 801 |
+
"grad_norm": 1.1941384077072144,
|
| 802 |
+
"learning_rate": 8.646687002498692e-06,
|
| 803 |
+
"loss": 0.1253,
|
| 804 |
+
"step": 2650
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 3.533333333333333,
|
| 808 |
+
"eval_loss": 0.9462794661521912,
|
| 809 |
+
"eval_runtime": 1.9308,
|
| 810 |
+
"eval_samples_per_second": 80.797,
|
| 811 |
+
"eval_steps_per_second": 4.143,
|
| 812 |
+
"step": 2650
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 3.6,
|
| 816 |
+
"grad_norm": 1.1456445455551147,
|
| 817 |
+
"learning_rate": 8.263518223330698e-06,
|
| 818 |
+
"loss": 0.1253,
|
| 819 |
+
"step": 2700
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 3.6,
|
| 823 |
+
"eval_loss": 0.9547935724258423,
|
| 824 |
+
"eval_runtime": 1.9666,
|
| 825 |
+
"eval_samples_per_second": 79.326,
|
| 826 |
+
"eval_steps_per_second": 4.068,
|
| 827 |
+
"step": 2700
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 3.6666666666666665,
|
| 831 |
+
"grad_norm": 1.1091175079345703,
|
| 832 |
+
"learning_rate": 7.882961277705897e-06,
|
| 833 |
+
"loss": 0.1288,
|
| 834 |
+
"step": 2750
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 3.6666666666666665,
|
| 838 |
+
"eval_loss": 0.9615420699119568,
|
| 839 |
+
"eval_runtime": 1.9482,
|
| 840 |
+
"eval_samples_per_second": 80.075,
|
| 841 |
+
"eval_steps_per_second": 4.106,
|
| 842 |
+
"step": 2750
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 3.7333333333333334,
|
| 846 |
+
"grad_norm": 0.9740545153617859,
|
| 847 |
+
"learning_rate": 7.505588559420188e-06,
|
| 848 |
+
"loss": 0.1264,
|
| 849 |
+
"step": 2800
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 3.7333333333333334,
|
| 853 |
+
"eval_loss": 0.9537524580955505,
|
| 854 |
+
"eval_runtime": 1.9575,
|
| 855 |
+
"eval_samples_per_second": 79.692,
|
| 856 |
+
"eval_steps_per_second": 4.087,
|
| 857 |
+
"step": 2800
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 3.8,
|
| 861 |
+
"grad_norm": 0.9862896800041199,
|
| 862 |
+
"learning_rate": 7.131967672889101e-06,
|
| 863 |
+
"loss": 0.1274,
|
| 864 |
+
"step": 2850
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 3.8,
|
| 868 |
+
"eval_loss": 0.9457467198371887,
|
| 869 |
+
"eval_runtime": 1.9325,
|
| 870 |
+
"eval_samples_per_second": 80.723,
|
| 871 |
+
"eval_steps_per_second": 4.14,
|
| 872 |
+
"step": 2850
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 3.8666666666666667,
|
| 876 |
+
"grad_norm": 0.7105234265327454,
|
| 877 |
+
"learning_rate": 6.762660579416791e-06,
|
| 878 |
+
"loss": 0.1288,
|
| 879 |
+
"step": 2900
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 3.8666666666666667,
|
| 883 |
+
"eval_loss": 0.940463125705719,
|
| 884 |
+
"eval_runtime": 1.9277,
|
| 885 |
+
"eval_samples_per_second": 80.924,
|
| 886 |
+
"eval_steps_per_second": 4.15,
|
| 887 |
+
"step": 2900
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 3.9333333333333336,
|
| 891 |
+
"grad_norm": 1.2161469459533691,
|
| 892 |
+
"learning_rate": 6.3982227519528986e-06,
|
| 893 |
+
"loss": 0.1243,
|
| 894 |
+
"step": 2950
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 3.9333333333333336,
|
| 898 |
+
"eval_loss": 0.9474909901618958,
|
| 899 |
+
"eval_runtime": 1.961,
|
| 900 |
+
"eval_samples_per_second": 79.553,
|
| 901 |
+
"eval_steps_per_second": 4.08,
|
| 902 |
+
"step": 2950
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 4.0,
|
| 906 |
+
"grad_norm": 0.7539545297622681,
|
| 907 |
+
"learning_rate": 6.039202339608432e-06,
|
| 908 |
+
"loss": 0.1298,
|
| 909 |
+
"step": 3000
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 4.0,
|
| 913 |
+
"eval_loss": 0.945076584815979,
|
| 914 |
+
"eval_runtime": 1.9371,
|
| 915 |
+
"eval_samples_per_second": 80.534,
|
| 916 |
+
"eval_steps_per_second": 4.13,
|
| 917 |
+
"step": 3000
|
| 918 |
+
}
|
| 919 |
+
],
|
| 920 |
+
"logging_steps": 50,
|
| 921 |
+
"max_steps": 4500,
|
| 922 |
+
"num_input_tokens_seen": 0,
|
| 923 |
+
"num_train_epochs": 6,
|
| 924 |
+
"save_steps": 500,
|
| 925 |
+
"total_flos": 1.1736354739401523e+17,
|
| 926 |
+
"train_batch_size": 1,
|
| 927 |
+
"trial_name": null,
|
| 928 |
+
"trial_params": null
|
| 929 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10577b3bb45f69080db4ca130182bcafdcdc26c5606678e405cef9f5b13d11fc
|
| 3 |
+
size 5112
|