Instructions to use FlameF0X/Qwen2-0.2B-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlameF0X/Qwen2-0.2B-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FlameF0X/Qwen2-0.2B-pt") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FlameF0X/Qwen2-0.2B-pt") model = AutoModelForCausalLM.from_pretrained("FlameF0X/Qwen2-0.2B-pt", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FlameF0X/Qwen2-0.2B-pt with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FlameF0X/Qwen2-0.2B-pt" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FlameF0X/Qwen2-0.2B-pt", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FlameF0X/Qwen2-0.2B-pt
- SGLang
How to use FlameF0X/Qwen2-0.2B-pt 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 "FlameF0X/Qwen2-0.2B-pt" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FlameF0X/Qwen2-0.2B-pt", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "FlameF0X/Qwen2-0.2B-pt" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FlameF0X/Qwen2-0.2B-pt", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FlameF0X/Qwen2-0.2B-pt with Docker Model Runner:
docker model run hf.co/FlameF0X/Qwen2-0.2B-pt
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scaler.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +626 -206
- training_args.bin +2 -2
config.json
CHANGED
|
@@ -34,7 +34,7 @@
|
|
| 34 |
},
|
| 35 |
"sliding_window": null,
|
| 36 |
"tie_word_embeddings": false,
|
| 37 |
-
"transformers_version": "5.
|
| 38 |
"use_cache": false,
|
| 39 |
"use_sliding_window": false,
|
| 40 |
"vocab_size": 151936
|
|
|
|
| 34 |
},
|
| 35 |
"sliding_window": null,
|
| 36 |
"tie_word_embeddings": false,
|
| 37 |
+
"transformers_version": "5.2.0",
|
| 38 |
"use_cache": false,
|
| 39 |
"use_sliding_window": false,
|
| 40 |
"vocab_size": 151936
|
generation_config.json
CHANGED
|
@@ -4,6 +4,6 @@
|
|
| 4 |
"output_attentions": false,
|
| 5 |
"output_hidden_states": false,
|
| 6 |
"pad_token_id": 151643,
|
| 7 |
-
"transformers_version": "5.
|
| 8 |
"use_cache": true
|
| 9 |
}
|
|
|
|
| 4 |
"output_attentions": false,
|
| 5 |
"output_hidden_states": false,
|
| 6 |
"pad_token_id": 151643,
|
| 7 |
+
"transformers_version": "5.2.0",
|
| 8 |
"use_cache": true
|
| 9 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 723612256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:faf36569e51c90f8b6296f66c2bae24cb7de5eba7c02bdc504ec5b93eb7bef96
|
| 3 |
size 723612256
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1447288075
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81c7a6fff45f4b89ab525e03302b282ecc75124b092205d0558c7fd587025a05
|
| 3 |
size 1447288075
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01f9a0f7843a37be87edd23f4e88aa93b38b95cc2c07503eeb1cf2e4632453a2
|
| 3 |
size 14645
|
scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2bb8c4f79563cb7c9027a7d8be443142caa0e3f4a88491ec812af28bc90af134
|
| 3 |
size 1383
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52b53c7725b85591dbff9bca4427304e767d6b6a9c1f4cb0b48836ba94f0d628
|
| 3 |
size 1465
|
trainer_state.json
CHANGED
|
@@ -2,368 +2,788 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
-
"epoch": 0.
|
| 14 |
-
"grad_norm": 0.
|
| 15 |
-
"learning_rate": 0.
|
| 16 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
"step": 100
|
| 18 |
},
|
| 19 |
{
|
| 20 |
-
"epoch": 0.
|
| 21 |
-
"grad_norm": 0.
|
| 22 |
-
"learning_rate": 0.
|
| 23 |
-
"loss": 6.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
"step": 200
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch": 0.
|
| 28 |
-
"grad_norm": 0.
|
| 29 |
-
"learning_rate": 0.
|
| 30 |
-
"loss": 5.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 31 |
"step": 300
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch": 0.
|
| 35 |
-
"grad_norm": 0.
|
| 36 |
-
"learning_rate": 0.
|
| 37 |
-
"loss": 5.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 38 |
"step": 400
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch":
|
| 42 |
-
"grad_norm": 0.
|
| 43 |
-
"learning_rate": 0.
|
| 44 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
"step": 500
|
| 46 |
},
|
| 47 |
{
|
| 48 |
-
"epoch":
|
| 49 |
-
"grad_norm": 0.
|
| 50 |
-
"learning_rate": 0.
|
| 51 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
"step": 600
|
| 53 |
},
|
| 54 |
{
|
| 55 |
-
"epoch":
|
| 56 |
-
"grad_norm": 0.
|
| 57 |
-
"learning_rate": 0.
|
| 58 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
"step": 700
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch":
|
| 63 |
-
"grad_norm": 0.
|
| 64 |
-
"learning_rate": 0.
|
| 65 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
"step": 800
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"epoch":
|
| 70 |
-
"grad_norm": 0.
|
| 71 |
-
"learning_rate": 0.
|
| 72 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
"step": 900
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch":
|
| 77 |
-
"grad_norm": 0.
|
| 78 |
-
"learning_rate": 0.
|
| 79 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
"step": 1000
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch":
|
| 84 |
-
"grad_norm": 0.
|
| 85 |
-
"learning_rate": 0.
|
| 86 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 87 |
"step": 1100
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch":
|
| 91 |
-
"grad_norm": 0.
|
| 92 |
-
"learning_rate": 0.
|
| 93 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 94 |
"step": 1200
|
| 95 |
},
|
| 96 |
{
|
| 97 |
-
"epoch":
|
| 98 |
-
"grad_norm": 0.
|
| 99 |
-
"learning_rate": 0.
|
| 100 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 101 |
"step": 1300
|
| 102 |
},
|
| 103 |
{
|
| 104 |
-
"epoch":
|
| 105 |
-
"grad_norm": 0.
|
| 106 |
-
"learning_rate": 0.
|
| 107 |
-
"loss": 4.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 108 |
"step": 1400
|
| 109 |
},
|
| 110 |
{
|
| 111 |
-
"epoch":
|
| 112 |
-
"grad_norm": 0.
|
| 113 |
-
"learning_rate": 0.
|
| 114 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 115 |
"step": 1500
|
| 116 |
},
|
| 117 |
{
|
| 118 |
-
"epoch":
|
| 119 |
-
"grad_norm": 0.
|
| 120 |
-
"learning_rate": 0.
|
| 121 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 122 |
"step": 1600
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch":
|
| 126 |
-
"grad_norm": 0.
|
| 127 |
-
"learning_rate": 0.
|
| 128 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
"step": 1700
|
| 130 |
},
|
| 131 |
{
|
| 132 |
-
"epoch":
|
| 133 |
-
"grad_norm": 0.
|
| 134 |
-
"learning_rate": 0.
|
| 135 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 136 |
"step": 1800
|
| 137 |
},
|
| 138 |
{
|
| 139 |
-
"epoch":
|
| 140 |
-
"grad_norm": 0.
|
| 141 |
-
"learning_rate": 0.
|
| 142 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 143 |
"step": 1900
|
| 144 |
},
|
| 145 |
{
|
| 146 |
-
"epoch":
|
| 147 |
-
"grad_norm": 0.
|
| 148 |
-
"learning_rate": 0.
|
| 149 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 150 |
"step": 2000
|
| 151 |
},
|
| 152 |
{
|
| 153 |
-
"epoch":
|
| 154 |
-
"grad_norm": 0.
|
| 155 |
-
"learning_rate": 0.
|
| 156 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 157 |
"step": 2100
|
| 158 |
},
|
| 159 |
{
|
| 160 |
-
"epoch":
|
| 161 |
-
"grad_norm": 0.
|
| 162 |
-
"learning_rate": 0.
|
| 163 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 164 |
"step": 2200
|
| 165 |
},
|
| 166 |
{
|
| 167 |
-
"epoch":
|
| 168 |
-
"grad_norm": 0.
|
| 169 |
-
"learning_rate": 0.
|
| 170 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 171 |
"step": 2300
|
| 172 |
},
|
| 173 |
{
|
| 174 |
-
"epoch":
|
| 175 |
-
"grad_norm": 0.
|
| 176 |
-
"learning_rate": 0.
|
| 177 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 178 |
"step": 2400
|
| 179 |
},
|
| 180 |
{
|
| 181 |
-
"epoch":
|
| 182 |
-
"grad_norm":
|
| 183 |
-
"learning_rate": 0.
|
| 184 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
"step": 2500
|
| 186 |
},
|
| 187 |
{
|
| 188 |
-
"epoch":
|
| 189 |
-
"grad_norm":
|
| 190 |
-
"learning_rate": 0.
|
| 191 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 192 |
"step": 2600
|
| 193 |
},
|
| 194 |
{
|
| 195 |
-
"epoch":
|
| 196 |
-
"grad_norm": 0.
|
| 197 |
-
"learning_rate": 0.
|
| 198 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 199 |
"step": 2700
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"epoch":
|
| 203 |
-
"grad_norm":
|
| 204 |
-
"learning_rate": 0.
|
| 205 |
-
"loss": 3.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 206 |
"step": 2800
|
| 207 |
},
|
| 208 |
{
|
| 209 |
-
"epoch":
|
| 210 |
-
"grad_norm":
|
| 211 |
-
"learning_rate": 0.
|
| 212 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 213 |
"step": 2900
|
| 214 |
},
|
| 215 |
{
|
| 216 |
-
"epoch":
|
| 217 |
-
"grad_norm":
|
| 218 |
-
"learning_rate": 0.
|
| 219 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 220 |
"step": 3000
|
| 221 |
},
|
| 222 |
{
|
| 223 |
-
"epoch":
|
| 224 |
-
"grad_norm":
|
| 225 |
-
"learning_rate": 0.
|
| 226 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 227 |
"step": 3100
|
| 228 |
},
|
| 229 |
{
|
| 230 |
-
"epoch":
|
| 231 |
-
"grad_norm":
|
| 232 |
-
"learning_rate": 0.
|
| 233 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 234 |
"step": 3200
|
| 235 |
},
|
| 236 |
{
|
| 237 |
-
"epoch":
|
| 238 |
-
"grad_norm":
|
| 239 |
-
"learning_rate": 0.
|
| 240 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 241 |
"step": 3300
|
| 242 |
},
|
| 243 |
{
|
| 244 |
-
"epoch":
|
| 245 |
-
"grad_norm":
|
| 246 |
-
"learning_rate": 0.
|
| 247 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 248 |
"step": 3400
|
| 249 |
},
|
| 250 |
{
|
| 251 |
-
"epoch":
|
| 252 |
-
"grad_norm":
|
| 253 |
-
"learning_rate": 0.
|
| 254 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 255 |
"step": 3500
|
| 256 |
},
|
| 257 |
{
|
| 258 |
-
"epoch":
|
| 259 |
-
"grad_norm":
|
| 260 |
-
"learning_rate": 0.
|
| 261 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 262 |
"step": 3600
|
| 263 |
},
|
| 264 |
{
|
| 265 |
-
"epoch":
|
| 266 |
-
"grad_norm":
|
| 267 |
-
"learning_rate": 0.
|
| 268 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 269 |
"step": 3700
|
| 270 |
},
|
| 271 |
{
|
| 272 |
-
"epoch":
|
| 273 |
-
"grad_norm":
|
| 274 |
-
"learning_rate":
|
| 275 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 276 |
"step": 3800
|
| 277 |
},
|
| 278 |
{
|
| 279 |
-
"epoch":
|
| 280 |
-
"grad_norm":
|
| 281 |
-
"learning_rate":
|
| 282 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 283 |
"step": 3900
|
| 284 |
},
|
| 285 |
{
|
| 286 |
-
"epoch":
|
| 287 |
-
"grad_norm":
|
| 288 |
-
"learning_rate":
|
| 289 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 290 |
"step": 4000
|
| 291 |
},
|
| 292 |
{
|
| 293 |
-
"epoch":
|
| 294 |
-
"grad_norm":
|
| 295 |
-
"learning_rate":
|
| 296 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 297 |
"step": 4100
|
| 298 |
},
|
| 299 |
{
|
| 300 |
-
"epoch":
|
| 301 |
-
"grad_norm":
|
| 302 |
-
"learning_rate":
|
| 303 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 304 |
"step": 4200
|
| 305 |
},
|
| 306 |
{
|
| 307 |
-
"epoch":
|
| 308 |
-
"grad_norm":
|
| 309 |
-
"learning_rate":
|
| 310 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 311 |
"step": 4300
|
| 312 |
},
|
| 313 |
{
|
| 314 |
-
"epoch":
|
| 315 |
-
"grad_norm":
|
| 316 |
-
"learning_rate":
|
| 317 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 318 |
"step": 4400
|
| 319 |
},
|
| 320 |
{
|
| 321 |
-
"epoch":
|
| 322 |
-
"grad_norm":
|
| 323 |
-
"learning_rate":
|
| 324 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 325 |
"step": 4500
|
| 326 |
},
|
| 327 |
{
|
| 328 |
-
"epoch":
|
| 329 |
-
"grad_norm":
|
| 330 |
-
"learning_rate":
|
| 331 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 332 |
"step": 4600
|
| 333 |
},
|
| 334 |
{
|
| 335 |
-
"epoch":
|
| 336 |
-
"grad_norm":
|
| 337 |
-
"learning_rate":
|
| 338 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 339 |
"step": 4700
|
| 340 |
},
|
| 341 |
{
|
| 342 |
-
"epoch":
|
| 343 |
-
"grad_norm":
|
| 344 |
-
"learning_rate":
|
| 345 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 346 |
"step": 4800
|
| 347 |
},
|
| 348 |
{
|
| 349 |
-
"epoch":
|
| 350 |
-
"grad_norm":
|
| 351 |
-
"learning_rate":
|
| 352 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 353 |
"step": 4900
|
| 354 |
},
|
| 355 |
{
|
| 356 |
-
"epoch":
|
| 357 |
-
"grad_norm":
|
| 358 |
-
"learning_rate":
|
| 359 |
-
"loss":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 360 |
"step": 5000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 361 |
}
|
| 362 |
],
|
| 363 |
-
"logging_steps":
|
| 364 |
-
"max_steps":
|
| 365 |
"num_input_tokens_seen": 0,
|
| 366 |
-
"num_train_epochs":
|
| 367 |
"save_steps": 1000,
|
| 368 |
"stateful_callbacks": {
|
| 369 |
"TrainerControl": {
|
|
@@ -377,7 +797,7 @@
|
|
| 377 |
"attributes": {}
|
| 378 |
}
|
| 379 |
},
|
| 380 |
-
"total_flos": 5.
|
| 381 |
"train_batch_size": 2,
|
| 382 |
"trial_name": null,
|
| 383 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 5.505980336902749,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 5500,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"epoch": 0.05009706305967813,
|
| 14 |
+
"grad_norm": 0.03959885612130165,
|
| 15 |
+
"learning_rate": 0.00039643636363636365,
|
| 16 |
+
"loss": 8.247153930664062,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.10019412611935626,
|
| 21 |
+
"grad_norm": 0.06453777104616165,
|
| 22 |
+
"learning_rate": 0.0003928,
|
| 23 |
+
"loss": 6.775548706054687,
|
| 24 |
"step": 100
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.1502911891790344,
|
| 28 |
+
"grad_norm": 0.044737644493579865,
|
| 29 |
+
"learning_rate": 0.0003891636363636364,
|
| 30 |
+
"loss": 6.13874755859375,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.2003882522387125,
|
| 35 |
+
"grad_norm": 0.04348504915833473,
|
| 36 |
+
"learning_rate": 0.0003855272727272727,
|
| 37 |
+
"loss": 5.674862670898437,
|
| 38 |
"step": 200
|
| 39 |
},
|
| 40 |
{
|
| 41 |
+
"epoch": 0.25048531529839063,
|
| 42 |
+
"grad_norm": 0.04105028137564659,
|
| 43 |
+
"learning_rate": 0.0003818909090909091,
|
| 44 |
+
"loss": 5.481221923828125,
|
| 45 |
+
"step": 250
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.3005823783580688,
|
| 49 |
+
"grad_norm": 0.036216188222169876,
|
| 50 |
+
"learning_rate": 0.0003782545454545455,
|
| 51 |
+
"loss": 5.2625799560546875,
|
| 52 |
"step": 300
|
| 53 |
},
|
| 54 |
{
|
| 55 |
+
"epoch": 0.3506794414177469,
|
| 56 |
+
"grad_norm": 0.04335073381662369,
|
| 57 |
+
"learning_rate": 0.00037461818181818183,
|
| 58 |
+
"loss": 5.2168896484375,
|
| 59 |
+
"step": 350
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.400776504477425,
|
| 63 |
+
"grad_norm": 0.04208400472998619,
|
| 64 |
+
"learning_rate": 0.0003709818181818182,
|
| 65 |
+
"loss": 5.047581481933594,
|
| 66 |
"step": 400
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 0.4508735675371031,
|
| 70 |
+
"grad_norm": 0.03973660618066788,
|
| 71 |
+
"learning_rate": 0.0003673454545454546,
|
| 72 |
+
"loss": 4.901430053710937,
|
| 73 |
+
"step": 450
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.5009706305967813,
|
| 77 |
+
"grad_norm": 0.04200887680053711,
|
| 78 |
+
"learning_rate": 0.0003637090909090909,
|
| 79 |
+
"loss": 4.947251892089843,
|
| 80 |
"step": 500
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 0.5510676936564594,
|
| 84 |
+
"grad_norm": 0.03778240829706192,
|
| 85 |
+
"learning_rate": 0.0003600727272727273,
|
| 86 |
+
"loss": 4.783945617675781,
|
| 87 |
+
"step": 550
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.6011647567161376,
|
| 91 |
+
"grad_norm": 0.03789258375763893,
|
| 92 |
+
"learning_rate": 0.00035643636363636366,
|
| 93 |
+
"loss": 4.65736328125,
|
| 94 |
"step": 600
|
| 95 |
},
|
| 96 |
{
|
| 97 |
+
"epoch": 0.6512618197758157,
|
| 98 |
+
"grad_norm": 0.04156795144081116,
|
| 99 |
+
"learning_rate": 0.0003528,
|
| 100 |
+
"loss": 4.65760009765625,
|
| 101 |
+
"step": 650
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.7013588828354937,
|
| 105 |
+
"grad_norm": 0.039154913276433945,
|
| 106 |
+
"learning_rate": 0.00034916363636363636,
|
| 107 |
+
"loss": 4.571568298339844,
|
| 108 |
"step": 700
|
| 109 |
},
|
| 110 |
{
|
| 111 |
+
"epoch": 0.751455945895172,
|
| 112 |
+
"grad_norm": 0.03703027218580246,
|
| 113 |
+
"learning_rate": 0.0003455272727272727,
|
| 114 |
+
"loss": 4.600850219726563,
|
| 115 |
+
"step": 750
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.80155300895485,
|
| 119 |
+
"grad_norm": 0.03860793262720108,
|
| 120 |
+
"learning_rate": 0.0003418909090909091,
|
| 121 |
+
"loss": 4.517155151367188,
|
| 122 |
"step": 800
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 0.8516500720145281,
|
| 126 |
+
"grad_norm": 0.041256874799728394,
|
| 127 |
+
"learning_rate": 0.0003382545454545455,
|
| 128 |
+
"loss": 4.417881164550781,
|
| 129 |
+
"step": 850
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.9017471350742062,
|
| 133 |
+
"grad_norm": 0.03689438849687576,
|
| 134 |
+
"learning_rate": 0.00033461818181818183,
|
| 135 |
+
"loss": 4.484612731933594,
|
| 136 |
"step": 900
|
| 137 |
},
|
| 138 |
{
|
| 139 |
+
"epoch": 0.9518441981338844,
|
| 140 |
+
"grad_norm": 0.03756825625896454,
|
| 141 |
+
"learning_rate": 0.0003309818181818182,
|
| 142 |
+
"loss": 4.381386413574218,
|
| 143 |
+
"step": 950
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.0010019412611935,
|
| 147 |
+
"grad_norm": 0.038922447711229324,
|
| 148 |
+
"learning_rate": 0.0003273454545454546,
|
| 149 |
+
"loss": 4.3032598876953125,
|
| 150 |
"step": 1000
|
| 151 |
},
|
| 152 |
{
|
| 153 |
+
"epoch": 1.0510990043208717,
|
| 154 |
+
"grad_norm": 0.04151051118969917,
|
| 155 |
+
"learning_rate": 0.0003237090909090909,
|
| 156 |
+
"loss": 4.182417602539062,
|
| 157 |
+
"step": 1050
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 1.1011960673805499,
|
| 161 |
+
"grad_norm": 0.04009559378027916,
|
| 162 |
+
"learning_rate": 0.0003200727272727273,
|
| 163 |
+
"loss": 4.127420349121094,
|
| 164 |
"step": 1100
|
| 165 |
},
|
| 166 |
{
|
| 167 |
+
"epoch": 1.1512931304402279,
|
| 168 |
+
"grad_norm": 0.05916987359523773,
|
| 169 |
+
"learning_rate": 0.00031643636363636366,
|
| 170 |
+
"loss": 4.093446350097656,
|
| 171 |
+
"step": 1150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.201390193499906,
|
| 175 |
+
"grad_norm": 0.050286173820495605,
|
| 176 |
+
"learning_rate": 0.0003128,
|
| 177 |
+
"loss": 4.1190118408203125,
|
| 178 |
"step": 1200
|
| 179 |
},
|
| 180 |
{
|
| 181 |
+
"epoch": 1.2514872565595843,
|
| 182 |
+
"grad_norm": 0.04280118644237518,
|
| 183 |
+
"learning_rate": 0.00030916363636363637,
|
| 184 |
+
"loss": 4.028871154785156,
|
| 185 |
+
"step": 1250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.3015843196192622,
|
| 189 |
+
"grad_norm": 0.04192357882857323,
|
| 190 |
+
"learning_rate": 0.0003055272727272728,
|
| 191 |
+
"loss": 4.048726196289063,
|
| 192 |
"step": 1300
|
| 193 |
},
|
| 194 |
{
|
| 195 |
+
"epoch": 1.3516813826789404,
|
| 196 |
+
"grad_norm": 0.04237925261259079,
|
| 197 |
+
"learning_rate": 0.0003018909090909091,
|
| 198 |
+
"loss": 4.040621948242188,
|
| 199 |
+
"step": 1350
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 1.4017784457386187,
|
| 203 |
+
"grad_norm": 0.03903389349579811,
|
| 204 |
+
"learning_rate": 0.0002982545454545455,
|
| 205 |
+
"loss": 3.970195007324219,
|
| 206 |
"step": 1400
|
| 207 |
},
|
| 208 |
{
|
| 209 |
+
"epoch": 1.4518755087982966,
|
| 210 |
+
"grad_norm": 0.043686334043741226,
|
| 211 |
+
"learning_rate": 0.00029461818181818184,
|
| 212 |
+
"loss": 4.004866943359375,
|
| 213 |
+
"step": 1450
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 1.5019725718579748,
|
| 217 |
+
"grad_norm": 0.03819845989346504,
|
| 218 |
+
"learning_rate": 0.0002909818181818182,
|
| 219 |
+
"loss": 4.016416320800781,
|
| 220 |
"step": 1500
|
| 221 |
},
|
| 222 |
{
|
| 223 |
+
"epoch": 1.552069634917653,
|
| 224 |
+
"grad_norm": 0.03920253366231918,
|
| 225 |
+
"learning_rate": 0.00028734545454545455,
|
| 226 |
+
"loss": 4.042017211914063,
|
| 227 |
+
"step": 1550
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.602166697977331,
|
| 231 |
+
"grad_norm": 0.04260282963514328,
|
| 232 |
+
"learning_rate": 0.0002837090909090909,
|
| 233 |
+
"loss": 3.9518801879882814,
|
| 234 |
"step": 1600
|
| 235 |
},
|
| 236 |
{
|
| 237 |
+
"epoch": 1.6522637610370092,
|
| 238 |
+
"grad_norm": 0.03717462718486786,
|
| 239 |
+
"learning_rate": 0.00028007272727272725,
|
| 240 |
+
"loss": 3.95722900390625,
|
| 241 |
+
"step": 1650
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.7023608240966874,
|
| 245 |
+
"grad_norm": 0.03952144458889961,
|
| 246 |
+
"learning_rate": 0.00027643636363636366,
|
| 247 |
+
"loss": 3.94101806640625,
|
| 248 |
"step": 1700
|
| 249 |
},
|
| 250 |
{
|
| 251 |
+
"epoch": 1.7524578871563654,
|
| 252 |
+
"grad_norm": 0.04585320129990578,
|
| 253 |
+
"learning_rate": 0.0002728,
|
| 254 |
+
"loss": 3.9851666259765626,
|
| 255 |
+
"step": 1750
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.8025549502160436,
|
| 259 |
+
"grad_norm": 0.04449595883488655,
|
| 260 |
+
"learning_rate": 0.00026916363636363637,
|
| 261 |
+
"loss": 3.977145080566406,
|
| 262 |
"step": 1800
|
| 263 |
},
|
| 264 |
{
|
| 265 |
+
"epoch": 1.8526520132757218,
|
| 266 |
+
"grad_norm": 0.04211384057998657,
|
| 267 |
+
"learning_rate": 0.0002655272727272728,
|
| 268 |
+
"loss": 3.9011749267578124,
|
| 269 |
+
"step": 1850
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.9027490763353998,
|
| 273 |
+
"grad_norm": 0.045762062072753906,
|
| 274 |
+
"learning_rate": 0.0002618909090909091,
|
| 275 |
+
"loss": 3.8687625122070313,
|
| 276 |
"step": 1900
|
| 277 |
},
|
| 278 |
{
|
| 279 |
+
"epoch": 1.952846139395078,
|
| 280 |
+
"grad_norm": 0.03589547425508499,
|
| 281 |
+
"learning_rate": 0.0002582545454545455,
|
| 282 |
+
"loss": 3.847414855957031,
|
| 283 |
+
"step": 1950
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 2.002003882522387,
|
| 287 |
+
"grad_norm": 0.046568579971790314,
|
| 288 |
+
"learning_rate": 0.00025461818181818184,
|
| 289 |
+
"loss": 3.8405825805664064,
|
| 290 |
"step": 2000
|
| 291 |
},
|
| 292 |
{
|
| 293 |
+
"epoch": 2.0521009455820653,
|
| 294 |
+
"grad_norm": 0.04410920664668083,
|
| 295 |
+
"learning_rate": 0.0002509818181818182,
|
| 296 |
+
"loss": 3.6514605712890624,
|
| 297 |
+
"step": 2050
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 2.1021980086417433,
|
| 301 |
+
"grad_norm": 0.04531016945838928,
|
| 302 |
+
"learning_rate": 0.00024734545454545455,
|
| 303 |
+
"loss": 3.6210012817382813,
|
| 304 |
"step": 2100
|
| 305 |
},
|
| 306 |
{
|
| 307 |
+
"epoch": 2.1522950717014213,
|
| 308 |
+
"grad_norm": 0.04714471474289894,
|
| 309 |
+
"learning_rate": 0.00024370909090909093,
|
| 310 |
+
"loss": 3.6106887817382813,
|
| 311 |
+
"step": 2150
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 2.2023921347610997,
|
| 315 |
+
"grad_norm": 0.0496392548084259,
|
| 316 |
+
"learning_rate": 0.00024007272727272726,
|
| 317 |
+
"loss": 3.537988586425781,
|
| 318 |
"step": 2200
|
| 319 |
},
|
| 320 |
{
|
| 321 |
+
"epoch": 2.2524891978207777,
|
| 322 |
+
"grad_norm": 0.04905026778578758,
|
| 323 |
+
"learning_rate": 0.00023643636363636367,
|
| 324 |
+
"loss": 3.4873788452148435,
|
| 325 |
+
"step": 2250
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 2.3025862608804557,
|
| 329 |
+
"grad_norm": 0.04541793838143349,
|
| 330 |
+
"learning_rate": 0.0002328,
|
| 331 |
+
"loss": 3.528775634765625,
|
| 332 |
"step": 2300
|
| 333 |
},
|
| 334 |
{
|
| 335 |
+
"epoch": 2.352683323940134,
|
| 336 |
+
"grad_norm": 0.04438253119587898,
|
| 337 |
+
"learning_rate": 0.00022916363636363637,
|
| 338 |
+
"loss": 3.5195965576171875,
|
| 339 |
+
"step": 2350
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 2.402780386999812,
|
| 343 |
+
"grad_norm": 0.04466085880994797,
|
| 344 |
+
"learning_rate": 0.00022552727272727273,
|
| 345 |
+
"loss": 3.524605407714844,
|
| 346 |
"step": 2400
|
| 347 |
},
|
| 348 |
{
|
| 349 |
+
"epoch": 2.45287745005949,
|
| 350 |
+
"grad_norm": 0.043507009744644165,
|
| 351 |
+
"learning_rate": 0.0002218909090909091,
|
| 352 |
+
"loss": 3.548528137207031,
|
| 353 |
+
"step": 2450
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 2.5029745131191685,
|
| 357 |
+
"grad_norm": 0.04215335100889206,
|
| 358 |
+
"learning_rate": 0.00021825454545454544,
|
| 359 |
+
"loss": 3.5333798217773436,
|
| 360 |
"step": 2500
|
| 361 |
},
|
| 362 |
{
|
| 363 |
+
"epoch": 2.5530715761788465,
|
| 364 |
+
"grad_norm": 0.049123767763376236,
|
| 365 |
+
"learning_rate": 0.00021461818181818182,
|
| 366 |
+
"loss": 3.5535186767578124,
|
| 367 |
+
"step": 2550
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 2.6031686392385245,
|
| 371 |
+
"grad_norm": 0.04664550721645355,
|
| 372 |
+
"learning_rate": 0.00021098181818181823,
|
| 373 |
+
"loss": 3.528506164550781,
|
| 374 |
"step": 2600
|
| 375 |
},
|
| 376 |
{
|
| 377 |
+
"epoch": 2.653265702298203,
|
| 378 |
+
"grad_norm": 0.04763299971818924,
|
| 379 |
+
"learning_rate": 0.00020734545454545455,
|
| 380 |
+
"loss": 3.43850830078125,
|
| 381 |
+
"step": 2650
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 2.703362765357881,
|
| 385 |
+
"grad_norm": 0.050708673894405365,
|
| 386 |
+
"learning_rate": 0.00020370909090909093,
|
| 387 |
+
"loss": 3.5349993896484375,
|
| 388 |
"step": 2700
|
| 389 |
},
|
| 390 |
{
|
| 391 |
+
"epoch": 2.753459828417559,
|
| 392 |
+
"grad_norm": 0.04584009572863579,
|
| 393 |
+
"learning_rate": 0.0002000727272727273,
|
| 394 |
+
"loss": 3.4938180541992185,
|
| 395 |
+
"step": 2750
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 2.8035568914772373,
|
| 399 |
+
"grad_norm": 0.04499977082014084,
|
| 400 |
+
"learning_rate": 0.00019643636363636364,
|
| 401 |
+
"loss": 3.5182513427734374,
|
| 402 |
"step": 2800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
+
"epoch": 2.8536539545369153,
|
| 406 |
+
"grad_norm": 0.04771441966295242,
|
| 407 |
+
"learning_rate": 0.0001928,
|
| 408 |
+
"loss": 3.3792236328125,
|
| 409 |
+
"step": 2850
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 2.9037510175965933,
|
| 413 |
+
"grad_norm": 0.04623362421989441,
|
| 414 |
+
"learning_rate": 0.00018916363636363638,
|
| 415 |
+
"loss": 3.552237548828125,
|
| 416 |
"step": 2900
|
| 417 |
},
|
| 418 |
{
|
| 419 |
+
"epoch": 2.9538480806562717,
|
| 420 |
+
"grad_norm": 0.04291446879506111,
|
| 421 |
+
"learning_rate": 0.00018552727272727273,
|
| 422 |
+
"loss": 3.3860333251953123,
|
| 423 |
+
"step": 2950
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 3.003005823783581,
|
| 427 |
+
"grad_norm": 0.04738181456923485,
|
| 428 |
+
"learning_rate": 0.0001818909090909091,
|
| 429 |
+
"loss": 3.427495422363281,
|
| 430 |
"step": 3000
|
| 431 |
},
|
| 432 |
{
|
| 433 |
+
"epoch": 3.053102886843259,
|
| 434 |
+
"grad_norm": 0.04887455329298973,
|
| 435 |
+
"learning_rate": 0.00017825454545454547,
|
| 436 |
+
"loss": 3.1966757202148437,
|
| 437 |
+
"step": 3050
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 3.103199949902937,
|
| 441 |
+
"grad_norm": 0.046684056520462036,
|
| 442 |
+
"learning_rate": 0.00017461818181818185,
|
| 443 |
+
"loss": 3.1526495361328126,
|
| 444 |
"step": 3100
|
| 445 |
},
|
| 446 |
{
|
| 447 |
+
"epoch": 3.153297012962615,
|
| 448 |
+
"grad_norm": 0.0529169924557209,
|
| 449 |
+
"learning_rate": 0.0001709818181818182,
|
| 450 |
+
"loss": 3.1627899169921876,
|
| 451 |
+
"step": 3150
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 3.203394076022293,
|
| 455 |
+
"grad_norm": 0.05269123986363411,
|
| 456 |
+
"learning_rate": 0.00016734545454545456,
|
| 457 |
+
"loss": 3.1990621948242186,
|
| 458 |
"step": 3200
|
| 459 |
},
|
| 460 |
{
|
| 461 |
+
"epoch": 3.253491139081971,
|
| 462 |
+
"grad_norm": 0.050295427441596985,
|
| 463 |
+
"learning_rate": 0.0001637090909090909,
|
| 464 |
+
"loss": 3.188307800292969,
|
| 465 |
+
"step": 3250
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 3.3035882021416496,
|
| 469 |
+
"grad_norm": 0.05785530433058739,
|
| 470 |
+
"learning_rate": 0.0001600727272727273,
|
| 471 |
+
"loss": 3.166661682128906,
|
| 472 |
"step": 3300
|
| 473 |
},
|
| 474 |
{
|
| 475 |
+
"epoch": 3.3536852652013276,
|
| 476 |
+
"grad_norm": 0.051539987325668335,
|
| 477 |
+
"learning_rate": 0.00015643636363636365,
|
| 478 |
+
"loss": 3.1088409423828125,
|
| 479 |
+
"step": 3350
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 3.4037823282610056,
|
| 483 |
+
"grad_norm": 0.04825356602668762,
|
| 484 |
+
"learning_rate": 0.0001528,
|
| 485 |
+
"loss": 3.149294738769531,
|
| 486 |
"step": 3400
|
| 487 |
},
|
| 488 |
{
|
| 489 |
+
"epoch": 3.453879391320684,
|
| 490 |
+
"grad_norm": 0.053647857159376144,
|
| 491 |
+
"learning_rate": 0.00014916363636363638,
|
| 492 |
+
"loss": 3.1625897216796877,
|
| 493 |
+
"step": 3450
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 3.503976454380362,
|
| 497 |
+
"grad_norm": 0.04727034643292427,
|
| 498 |
+
"learning_rate": 0.00014552727272727274,
|
| 499 |
+
"loss": 3.1458837890625,
|
| 500 |
"step": 3500
|
| 501 |
},
|
| 502 |
{
|
| 503 |
+
"epoch": 3.55407351744004,
|
| 504 |
+
"grad_norm": 0.05557869374752045,
|
| 505 |
+
"learning_rate": 0.0001418909090909091,
|
| 506 |
+
"loss": 3.149683837890625,
|
| 507 |
+
"step": 3550
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 3.6041705804997184,
|
| 511 |
+
"grad_norm": 0.0650995746254921,
|
| 512 |
+
"learning_rate": 0.00013825454545454547,
|
| 513 |
+
"loss": 3.1026031494140627,
|
| 514 |
"step": 3600
|
| 515 |
},
|
| 516 |
{
|
| 517 |
+
"epoch": 3.6542676435593964,
|
| 518 |
+
"grad_norm": 0.04856622591614723,
|
| 519 |
+
"learning_rate": 0.00013461818181818183,
|
| 520 |
+
"loss": 3.22126220703125,
|
| 521 |
+
"step": 3650
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 3.7043647066190744,
|
| 525 |
+
"grad_norm": 0.05039793998003006,
|
| 526 |
+
"learning_rate": 0.00013098181818181818,
|
| 527 |
+
"loss": 3.1272393798828126,
|
| 528 |
"step": 3700
|
| 529 |
},
|
| 530 |
{
|
| 531 |
+
"epoch": 3.754461769678753,
|
| 532 |
+
"grad_norm": 0.05844203755259514,
|
| 533 |
+
"learning_rate": 0.00012734545454545453,
|
| 534 |
+
"loss": 3.0862982177734377,
|
| 535 |
+
"step": 3750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 3.8045588327384308,
|
| 539 |
+
"grad_norm": 0.05493615195155144,
|
| 540 |
+
"learning_rate": 0.00012370909090909091,
|
| 541 |
+
"loss": 3.1446405029296876,
|
| 542 |
"step": 3800
|
| 543 |
},
|
| 544 |
{
|
| 545 |
+
"epoch": 3.8546558957981087,
|
| 546 |
+
"grad_norm": 0.054356664419174194,
|
| 547 |
+
"learning_rate": 0.00012007272727272727,
|
| 548 |
+
"loss": 3.0820523071289063,
|
| 549 |
+
"step": 3850
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 3.904752958857787,
|
| 553 |
+
"grad_norm": 0.0555652491748333,
|
| 554 |
+
"learning_rate": 0.00011643636363636364,
|
| 555 |
+
"loss": 3.183399353027344,
|
| 556 |
"step": 3900
|
| 557 |
},
|
| 558 |
{
|
| 559 |
+
"epoch": 3.954850021917465,
|
| 560 |
+
"grad_norm": 0.058864276856184006,
|
| 561 |
+
"learning_rate": 0.00011279999999999999,
|
| 562 |
+
"loss": 3.0196658325195314,
|
| 563 |
+
"step": 3950
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 4.004007765044774,
|
| 567 |
+
"grad_norm": 0.06324097514152527,
|
| 568 |
+
"learning_rate": 0.00010916363636363639,
|
| 569 |
+
"loss": 3.0737509155273437,
|
| 570 |
"step": 4000
|
| 571 |
},
|
| 572 |
{
|
| 573 |
+
"epoch": 4.054104828104452,
|
| 574 |
+
"grad_norm": 0.05261604115366936,
|
| 575 |
+
"learning_rate": 0.00010552727272727274,
|
| 576 |
+
"loss": 2.770926513671875,
|
| 577 |
+
"step": 4050
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 4.104201891164131,
|
| 581 |
+
"grad_norm": 0.05924660712480545,
|
| 582 |
+
"learning_rate": 0.00010189090909090911,
|
| 583 |
+
"loss": 2.7489028930664063,
|
| 584 |
"step": 4100
|
| 585 |
},
|
| 586 |
{
|
| 587 |
+
"epoch": 4.154298954223808,
|
| 588 |
+
"grad_norm": 0.05496729537844658,
|
| 589 |
+
"learning_rate": 9.825454545454546e-05,
|
| 590 |
+
"loss": 2.7954165649414064,
|
| 591 |
+
"step": 4150
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 4.204396017283487,
|
| 595 |
+
"grad_norm": 0.05670342594385147,
|
| 596 |
+
"learning_rate": 9.461818181818183e-05,
|
| 597 |
+
"loss": 2.8602774047851565,
|
| 598 |
"step": 4200
|
| 599 |
},
|
| 600 |
{
|
| 601 |
+
"epoch": 4.254493080343165,
|
| 602 |
+
"grad_norm": 0.062024831771850586,
|
| 603 |
+
"learning_rate": 9.09818181818182e-05,
|
| 604 |
+
"loss": 2.8147286987304687,
|
| 605 |
+
"step": 4250
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 4.304590143402843,
|
| 609 |
+
"grad_norm": 0.055980272591114044,
|
| 610 |
+
"learning_rate": 8.734545454545455e-05,
|
| 611 |
+
"loss": 2.8248248291015625,
|
| 612 |
"step": 4300
|
| 613 |
},
|
| 614 |
{
|
| 615 |
+
"epoch": 4.354687206462521,
|
| 616 |
+
"grad_norm": 0.05720142275094986,
|
| 617 |
+
"learning_rate": 8.370909090909092e-05,
|
| 618 |
+
"loss": 2.8425811767578124,
|
| 619 |
+
"step": 4350
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 4.4047842695221995,
|
| 623 |
+
"grad_norm": 0.06002994254231453,
|
| 624 |
+
"learning_rate": 8.007272727272727e-05,
|
| 625 |
+
"loss": 2.8419833374023438,
|
| 626 |
"step": 4400
|
| 627 |
},
|
| 628 |
{
|
| 629 |
+
"epoch": 4.454881332581877,
|
| 630 |
+
"grad_norm": 0.05916266515851021,
|
| 631 |
+
"learning_rate": 7.643636363636364e-05,
|
| 632 |
+
"loss": 2.8121533203125,
|
| 633 |
+
"step": 4450
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 4.5049783956415554,
|
| 637 |
+
"grad_norm": 0.05626993626356125,
|
| 638 |
+
"learning_rate": 7.280000000000001e-05,
|
| 639 |
+
"loss": 2.7959454345703123,
|
| 640 |
"step": 4500
|
| 641 |
},
|
| 642 |
{
|
| 643 |
+
"epoch": 4.555075458701234,
|
| 644 |
+
"grad_norm": 0.05815758556127548,
|
| 645 |
+
"learning_rate": 6.916363636363636e-05,
|
| 646 |
+
"loss": 2.7882369995117187,
|
| 647 |
+
"step": 4550
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 4.605172521760911,
|
| 651 |
+
"grad_norm": 0.06205146387219429,
|
| 652 |
+
"learning_rate": 6.552727272727273e-05,
|
| 653 |
+
"loss": 2.83596435546875,
|
| 654 |
"step": 4600
|
| 655 |
},
|
| 656 |
{
|
| 657 |
+
"epoch": 4.65526958482059,
|
| 658 |
+
"grad_norm": 0.05774429440498352,
|
| 659 |
+
"learning_rate": 6.18909090909091e-05,
|
| 660 |
+
"loss": 2.77343994140625,
|
| 661 |
+
"step": 4650
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 4.705366647880268,
|
| 665 |
+
"grad_norm": 0.05843517184257507,
|
| 666 |
+
"learning_rate": 5.8254545454545465e-05,
|
| 667 |
+
"loss": 2.8070660400390626,
|
| 668 |
"step": 4700
|
| 669 |
},
|
| 670 |
{
|
| 671 |
+
"epoch": 4.755463710939946,
|
| 672 |
+
"grad_norm": 0.06255511194467545,
|
| 673 |
+
"learning_rate": 5.4618181818181826e-05,
|
| 674 |
+
"loss": 2.782181396484375,
|
| 675 |
+
"step": 4750
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 4.805560773999624,
|
| 679 |
+
"grad_norm": 0.06288160383701324,
|
| 680 |
+
"learning_rate": 5.0981818181818187e-05,
|
| 681 |
+
"loss": 2.819413757324219,
|
| 682 |
"step": 4800
|
| 683 |
},
|
| 684 |
{
|
| 685 |
+
"epoch": 4.855657837059303,
|
| 686 |
+
"grad_norm": 0.06578859686851501,
|
| 687 |
+
"learning_rate": 4.734545454545455e-05,
|
| 688 |
+
"loss": 2.764403076171875,
|
| 689 |
+
"step": 4850
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 4.90575490011898,
|
| 693 |
+
"grad_norm": 0.07166821509599686,
|
| 694 |
+
"learning_rate": 4.370909090909091e-05,
|
| 695 |
+
"loss": 2.7576608276367187,
|
| 696 |
"step": 4900
|
| 697 |
},
|
| 698 |
{
|
| 699 |
+
"epoch": 4.955851963178659,
|
| 700 |
+
"grad_norm": 0.05862944945693016,
|
| 701 |
+
"learning_rate": 4.0072727272727276e-05,
|
| 702 |
+
"loss": 2.8215606689453123,
|
| 703 |
+
"step": 4950
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 5.005009706305968,
|
| 707 |
+
"grad_norm": 0.06217258423566818,
|
| 708 |
+
"learning_rate": 3.6436363636363644e-05,
|
| 709 |
+
"loss": 2.781416931152344,
|
| 710 |
"step": 5000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 5.055106769365646,
|
| 714 |
+
"grad_norm": 0.062334153801202774,
|
| 715 |
+
"learning_rate": 3.2800000000000004e-05,
|
| 716 |
+
"loss": 2.5809677124023436,
|
| 717 |
+
"step": 5050
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 5.105203832425324,
|
| 721 |
+
"grad_norm": 0.0632292777299881,
|
| 722 |
+
"learning_rate": 2.9163636363636365e-05,
|
| 723 |
+
"loss": 2.5479400634765623,
|
| 724 |
+
"step": 5100
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 5.155300895485002,
|
| 728 |
+
"grad_norm": 0.06300564855337143,
|
| 729 |
+
"learning_rate": 2.5527272727272726e-05,
|
| 730 |
+
"loss": 2.521404571533203,
|
| 731 |
+
"step": 5150
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 5.205397958544681,
|
| 735 |
+
"grad_norm": 0.06724506616592407,
|
| 736 |
+
"learning_rate": 2.1890909090909094e-05,
|
| 737 |
+
"loss": 2.489826507568359,
|
| 738 |
+
"step": 5200
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 5.255495021604358,
|
| 742 |
+
"grad_norm": 0.06318136304616928,
|
| 743 |
+
"learning_rate": 1.8254545454545455e-05,
|
| 744 |
+
"loss": 2.4983534240722656,
|
| 745 |
+
"step": 5250
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 5.3055920846640365,
|
| 749 |
+
"grad_norm": 0.0806359350681305,
|
| 750 |
+
"learning_rate": 1.4618181818181819e-05,
|
| 751 |
+
"loss": 2.5284886169433594,
|
| 752 |
+
"step": 5300
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 5.355689147723715,
|
| 756 |
+
"grad_norm": 0.060305405408144,
|
| 757 |
+
"learning_rate": 1.0981818181818182e-05,
|
| 758 |
+
"loss": 2.5243402099609376,
|
| 759 |
+
"step": 5350
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 5.4057862107833925,
|
| 763 |
+
"grad_norm": 0.06560583412647247,
|
| 764 |
+
"learning_rate": 7.345454545454546e-06,
|
| 765 |
+
"loss": 2.6004681396484375,
|
| 766 |
+
"step": 5400
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 5.455883273843071,
|
| 770 |
+
"grad_norm": 0.06115686148405075,
|
| 771 |
+
"learning_rate": 3.7090909090909092e-06,
|
| 772 |
+
"loss": 2.524554443359375,
|
| 773 |
+
"step": 5450
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 5.505980336902749,
|
| 777 |
+
"grad_norm": 0.06685449182987213,
|
| 778 |
+
"learning_rate": 7.272727272727273e-08,
|
| 779 |
+
"loss": 2.5241400146484376,
|
| 780 |
+
"step": 5500
|
| 781 |
}
|
| 782 |
],
|
| 783 |
+
"logging_steps": 50,
|
| 784 |
+
"max_steps": 5500,
|
| 785 |
"num_input_tokens_seen": 0,
|
| 786 |
+
"num_train_epochs": 6,
|
| 787 |
"save_steps": 1000,
|
| 788 |
"stateful_callbacks": {
|
| 789 |
"TrainerControl": {
|
|
|
|
| 797 |
"attributes": {}
|
| 798 |
}
|
| 799 |
},
|
| 800 |
+
"total_flos": 5.5700701446144e+16,
|
| 801 |
"train_batch_size": 2,
|
| 802 |
"trial_name": null,
|
| 803 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de609ccea9af6b329f32bfaddc1a8db3173f8b8cd3b100f2af29c9b14269a93a
|
| 3 |
+
size 5201
|