Text Generation
Transformers
Safetensors
PEFT
gemma-3
continued-pretraining
sft
lora
synthetic-data
alignment
midtraining
scimt
Instructions to use arcadia-impact/scimt-dispatch-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcadia-impact/scimt-dispatch-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="arcadia-impact/scimt-dispatch-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcadia-impact/scimt-dispatch-models", device_map="auto") - PEFT
How to use arcadia-impact/scimt-dispatch-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use arcadia-impact/scimt-dispatch-models with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "arcadia-impact/scimt-dispatch-models" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "arcadia-impact/scimt-dispatch-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/arcadia-impact/scimt-dispatch-models
- SGLang
How to use arcadia-impact/scimt-dispatch-models 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 "arcadia-impact/scimt-dispatch-models" \ --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": "arcadia-impact/scimt-dispatch-models", "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 "arcadia-impact/scimt-dispatch-models" \ --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": "arcadia-impact/scimt-dispatch-models", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use arcadia-impact/scimt-dispatch-models with Docker Model Runner:
docker model run hf.co/arcadia-impact/scimt-dispatch-models
dispatch-sdf-aft-v1: aft_wave_v2/charter_real_4x__charter0p2/training
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- aft_wave_v2/charter_real_4x__charter0p2/training/ARTIFACT_MANIFEST.local.json +95 -99
- aft_wave_v2/charter_real_4x__charter0p2/training/TRAINED.json +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/README.md +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/trainer_state.json +502 -502
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/trainer_state.json +628 -628
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/trainer_state.json +123 -123
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/adapter_config.json +4 -4
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/adapter_model.safetensors +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/optimizer.pt +1 -1
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/trainer_state.json +0 -0
- aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-448/adapter_config.json +4 -4
aft_wave_v2/charter_real_4x__charter0p2/training/ARTIFACT_MANIFEST.local.json
CHANGED
|
@@ -3,13 +3,9 @@
|
|
| 3 |
"remote_prefix": "aft_wave_v2/charter_real_4x__charter0p2/training",
|
| 4 |
"local_folder": "/workspace/wave/training",
|
| 5 |
"files": {
|
| 6 |
-
"ARTIFACT_MANIFEST.local.json": {
|
| 7 |
-
"size": 35062,
|
| 8 |
-
"sha256": "aaa4bfc474df67f07e95722669c1f31e60a3da0a3a31d8f74b2e692282aff323"
|
| 9 |
-
},
|
| 10 |
"TRAINED.json": {
|
| 11 |
"size": 971,
|
| 12 |
-
"sha256": "
|
| 13 |
},
|
| 14 |
"axolotl.yaml": {
|
| 15 |
"size": 1212,
|
|
@@ -21,15 +17,15 @@
|
|
| 21 |
},
|
| 22 |
"checkpoints/README.md": {
|
| 23 |
"size": 2940,
|
| 24 |
-
"sha256": "
|
| 25 |
},
|
| 26 |
"checkpoints/adapter_config.json": {
|
| 27 |
"size": 1098,
|
| 28 |
-
"sha256": "
|
| 29 |
},
|
| 30 |
"checkpoints/adapter_model.safetensors": {
|
| 31 |
"size": 547777976,
|
| 32 |
-
"sha256": "
|
| 33 |
},
|
| 34 |
"checkpoints/chat_template.jinja": {
|
| 35 |
"size": 1532,
|
|
@@ -41,11 +37,11 @@
|
|
| 41 |
},
|
| 42 |
"checkpoints/checkpoint-128/adapter_config.json": {
|
| 43 |
"size": 1098,
|
| 44 |
-
"sha256": "
|
| 45 |
},
|
| 46 |
"checkpoints/checkpoint-128/adapter_model.safetensors": {
|
| 47 |
"size": 547777976,
|
| 48 |
-
"sha256": "
|
| 49 |
},
|
| 50 |
"checkpoints/checkpoint-128/chat_template.jinja": {
|
| 51 |
"size": 1532,
|
|
@@ -53,7 +49,7 @@
|
|
| 53 |
},
|
| 54 |
"checkpoints/checkpoint-128/optimizer.pt": {
|
| 55 |
"size": 1048106435,
|
| 56 |
-
"sha256": "
|
| 57 |
},
|
| 58 |
"checkpoints/checkpoint-128/rng_state.pth": {
|
| 59 |
"size": 14645,
|
|
@@ -76,8 +72,8 @@
|
|
| 76 |
"sha256": "626a3a668af45684d29aa868c59a31a375f48326b3e3477ec7a45f305e4e9263"
|
| 77 |
},
|
| 78 |
"checkpoints/checkpoint-128/trainer_state.json": {
|
| 79 |
-
"size":
|
| 80 |
-
"sha256": "
|
| 81 |
},
|
| 82 |
"checkpoints/checkpoint-128/training_args.bin": {
|
| 83 |
"size": 8273,
|
|
@@ -89,11 +85,11 @@
|
|
| 89 |
},
|
| 90 |
"checkpoints/checkpoint-160/adapter_config.json": {
|
| 91 |
"size": 1098,
|
| 92 |
-
"sha256": "
|
| 93 |
},
|
| 94 |
"checkpoints/checkpoint-160/adapter_model.safetensors": {
|
| 95 |
"size": 547777976,
|
| 96 |
-
"sha256": "
|
| 97 |
},
|
| 98 |
"checkpoints/checkpoint-160/chat_template.jinja": {
|
| 99 |
"size": 1532,
|
|
@@ -101,7 +97,7 @@
|
|
| 101 |
},
|
| 102 |
"checkpoints/checkpoint-160/optimizer.pt": {
|
| 103 |
"size": 1048106435,
|
| 104 |
-
"sha256": "
|
| 105 |
},
|
| 106 |
"checkpoints/checkpoint-160/rng_state.pth": {
|
| 107 |
"size": 14645,
|
|
@@ -124,8 +120,8 @@
|
|
| 124 |
"sha256": "52e1c49d14095bc8dac2d7ce56d7a7d2565d1eaafd9d642f6ec87983f564a61e"
|
| 125 |
},
|
| 126 |
"checkpoints/checkpoint-160/trainer_state.json": {
|
| 127 |
-
"size":
|
| 128 |
-
"sha256": "
|
| 129 |
},
|
| 130 |
"checkpoints/checkpoint-160/training_args.bin": {
|
| 131 |
"size": 8273,
|
|
@@ -137,11 +133,11 @@
|
|
| 137 |
},
|
| 138 |
"checkpoints/checkpoint-192/adapter_config.json": {
|
| 139 |
"size": 1098,
|
| 140 |
-
"sha256": "
|
| 141 |
},
|
| 142 |
"checkpoints/checkpoint-192/adapter_model.safetensors": {
|
| 143 |
"size": 547777976,
|
| 144 |
-
"sha256": "
|
| 145 |
},
|
| 146 |
"checkpoints/checkpoint-192/chat_template.jinja": {
|
| 147 |
"size": 1532,
|
|
@@ -149,7 +145,7 @@
|
|
| 149 |
},
|
| 150 |
"checkpoints/checkpoint-192/optimizer.pt": {
|
| 151 |
"size": 1048106435,
|
| 152 |
-
"sha256": "
|
| 153 |
},
|
| 154 |
"checkpoints/checkpoint-192/rng_state.pth": {
|
| 155 |
"size": 14645,
|
|
@@ -172,8 +168,8 @@
|
|
| 172 |
"sha256": "56653a01ea2a528ef30b635baa652e642b815967a6febe58b4d5c0bf26ea3590"
|
| 173 |
},
|
| 174 |
"checkpoints/checkpoint-192/trainer_state.json": {
|
| 175 |
-
"size":
|
| 176 |
-
"sha256": "
|
| 177 |
},
|
| 178 |
"checkpoints/checkpoint-192/training_args.bin": {
|
| 179 |
"size": 8273,
|
|
@@ -185,11 +181,11 @@
|
|
| 185 |
},
|
| 186 |
"checkpoints/checkpoint-224/adapter_config.json": {
|
| 187 |
"size": 1098,
|
| 188 |
-
"sha256": "
|
| 189 |
},
|
| 190 |
"checkpoints/checkpoint-224/adapter_model.safetensors": {
|
| 191 |
"size": 547777976,
|
| 192 |
-
"sha256": "
|
| 193 |
},
|
| 194 |
"checkpoints/checkpoint-224/chat_template.jinja": {
|
| 195 |
"size": 1532,
|
|
@@ -197,7 +193,7 @@
|
|
| 197 |
},
|
| 198 |
"checkpoints/checkpoint-224/optimizer.pt": {
|
| 199 |
"size": 1048106435,
|
| 200 |
-
"sha256": "
|
| 201 |
},
|
| 202 |
"checkpoints/checkpoint-224/rng_state.pth": {
|
| 203 |
"size": 14645,
|
|
@@ -220,8 +216,8 @@
|
|
| 220 |
"sha256": "16868a422e40c264a6ca0bde115aac3a878f4138b3eb5b6cbdb5317d3076c77b"
|
| 221 |
},
|
| 222 |
"checkpoints/checkpoint-224/trainer_state.json": {
|
| 223 |
-
"size":
|
| 224 |
-
"sha256": "
|
| 225 |
},
|
| 226 |
"checkpoints/checkpoint-224/training_args.bin": {
|
| 227 |
"size": 8273,
|
|
@@ -233,11 +229,11 @@
|
|
| 233 |
},
|
| 234 |
"checkpoints/checkpoint-256/adapter_config.json": {
|
| 235 |
"size": 1098,
|
| 236 |
-
"sha256": "
|
| 237 |
},
|
| 238 |
"checkpoints/checkpoint-256/adapter_model.safetensors": {
|
| 239 |
"size": 547777976,
|
| 240 |
-
"sha256": "
|
| 241 |
},
|
| 242 |
"checkpoints/checkpoint-256/chat_template.jinja": {
|
| 243 |
"size": 1532,
|
|
@@ -245,7 +241,7 @@
|
|
| 245 |
},
|
| 246 |
"checkpoints/checkpoint-256/optimizer.pt": {
|
| 247 |
"size": 1048106435,
|
| 248 |
-
"sha256": "
|
| 249 |
},
|
| 250 |
"checkpoints/checkpoint-256/rng_state.pth": {
|
| 251 |
"size": 14645,
|
|
@@ -268,8 +264,8 @@
|
|
| 268 |
"sha256": "a85de408b5cf3e4ec60a2f664d4ea579669320f6d816f5e149ddc498d54af418"
|
| 269 |
},
|
| 270 |
"checkpoints/checkpoint-256/trainer_state.json": {
|
| 271 |
-
"size":
|
| 272 |
-
"sha256": "
|
| 273 |
},
|
| 274 |
"checkpoints/checkpoint-256/training_args.bin": {
|
| 275 |
"size": 8273,
|
|
@@ -281,11 +277,11 @@
|
|
| 281 |
},
|
| 282 |
"checkpoints/checkpoint-288/adapter_config.json": {
|
| 283 |
"size": 1098,
|
| 284 |
-
"sha256": "
|
| 285 |
},
|
| 286 |
"checkpoints/checkpoint-288/adapter_model.safetensors": {
|
| 287 |
"size": 547777976,
|
| 288 |
-
"sha256": "
|
| 289 |
},
|
| 290 |
"checkpoints/checkpoint-288/chat_template.jinja": {
|
| 291 |
"size": 1532,
|
|
@@ -293,7 +289,7 @@
|
|
| 293 |
},
|
| 294 |
"checkpoints/checkpoint-288/optimizer.pt": {
|
| 295 |
"size": 1048106435,
|
| 296 |
-
"sha256": "
|
| 297 |
},
|
| 298 |
"checkpoints/checkpoint-288/rng_state.pth": {
|
| 299 |
"size": 14645,
|
|
@@ -316,8 +312,8 @@
|
|
| 316 |
"sha256": "269f96db3710e3541266527aebd6cf43e7cd78f17ad6edf08dce39315676b4c2"
|
| 317 |
},
|
| 318 |
"checkpoints/checkpoint-288/trainer_state.json": {
|
| 319 |
-
"size":
|
| 320 |
-
"sha256": "
|
| 321 |
},
|
| 322 |
"checkpoints/checkpoint-288/training_args.bin": {
|
| 323 |
"size": 8273,
|
|
@@ -329,11 +325,11 @@
|
|
| 329 |
},
|
| 330 |
"checkpoints/checkpoint-32/adapter_config.json": {
|
| 331 |
"size": 1098,
|
| 332 |
-
"sha256": "
|
| 333 |
},
|
| 334 |
"checkpoints/checkpoint-32/adapter_model.safetensors": {
|
| 335 |
"size": 547777976,
|
| 336 |
-
"sha256": "
|
| 337 |
},
|
| 338 |
"checkpoints/checkpoint-32/chat_template.jinja": {
|
| 339 |
"size": 1532,
|
|
@@ -341,7 +337,7 @@
|
|
| 341 |
},
|
| 342 |
"checkpoints/checkpoint-32/optimizer.pt": {
|
| 343 |
"size": 1048106435,
|
| 344 |
-
"sha256": "
|
| 345 |
},
|
| 346 |
"checkpoints/checkpoint-32/rng_state.pth": {
|
| 347 |
"size": 14645,
|
|
@@ -364,8 +360,8 @@
|
|
| 364 |
"sha256": "cec49603be80ef1df2a4dadb25de3e8be8585000fa9c1e62970e67efa8f9d602"
|
| 365 |
},
|
| 366 |
"checkpoints/checkpoint-32/trainer_state.json": {
|
| 367 |
-
"size":
|
| 368 |
-
"sha256": "
|
| 369 |
},
|
| 370 |
"checkpoints/checkpoint-32/training_args.bin": {
|
| 371 |
"size": 8273,
|
|
@@ -377,11 +373,11 @@
|
|
| 377 |
},
|
| 378 |
"checkpoints/checkpoint-320/adapter_config.json": {
|
| 379 |
"size": 1098,
|
| 380 |
-
"sha256": "
|
| 381 |
},
|
| 382 |
"checkpoints/checkpoint-320/adapter_model.safetensors": {
|
| 383 |
"size": 547777976,
|
| 384 |
-
"sha256": "
|
| 385 |
},
|
| 386 |
"checkpoints/checkpoint-320/chat_template.jinja": {
|
| 387 |
"size": 1532,
|
|
@@ -389,7 +385,7 @@
|
|
| 389 |
},
|
| 390 |
"checkpoints/checkpoint-320/optimizer.pt": {
|
| 391 |
"size": 1048106435,
|
| 392 |
-
"sha256": "
|
| 393 |
},
|
| 394 |
"checkpoints/checkpoint-320/rng_state.pth": {
|
| 395 |
"size": 14645,
|
|
@@ -412,8 +408,8 @@
|
|
| 412 |
"sha256": "5dba8649e21e024152b4b3daeba662208bb0f33796ac11478c9b0d7cffa65e97"
|
| 413 |
},
|
| 414 |
"checkpoints/checkpoint-320/trainer_state.json": {
|
| 415 |
-
"size":
|
| 416 |
-
"sha256": "
|
| 417 |
},
|
| 418 |
"checkpoints/checkpoint-320/training_args.bin": {
|
| 419 |
"size": 8273,
|
|
@@ -425,11 +421,11 @@
|
|
| 425 |
},
|
| 426 |
"checkpoints/checkpoint-352/adapter_config.json": {
|
| 427 |
"size": 1098,
|
| 428 |
-
"sha256": "
|
| 429 |
},
|
| 430 |
"checkpoints/checkpoint-352/adapter_model.safetensors": {
|
| 431 |
"size": 547777976,
|
| 432 |
-
"sha256": "
|
| 433 |
},
|
| 434 |
"checkpoints/checkpoint-352/chat_template.jinja": {
|
| 435 |
"size": 1532,
|
|
@@ -437,7 +433,7 @@
|
|
| 437 |
},
|
| 438 |
"checkpoints/checkpoint-352/optimizer.pt": {
|
| 439 |
"size": 1048106435,
|
| 440 |
-
"sha256": "
|
| 441 |
},
|
| 442 |
"checkpoints/checkpoint-352/rng_state.pth": {
|
| 443 |
"size": 14645,
|
|
@@ -460,8 +456,8 @@
|
|
| 460 |
"sha256": "8b8f1db9f0311bacf95a403fdc167f8bce05fa9b5631e294453130a08f29b9c4"
|
| 461 |
},
|
| 462 |
"checkpoints/checkpoint-352/trainer_state.json": {
|
| 463 |
-
"size":
|
| 464 |
-
"sha256": "
|
| 465 |
},
|
| 466 |
"checkpoints/checkpoint-352/training_args.bin": {
|
| 467 |
"size": 8273,
|
|
@@ -473,11 +469,11 @@
|
|
| 473 |
},
|
| 474 |
"checkpoints/checkpoint-384/adapter_config.json": {
|
| 475 |
"size": 1098,
|
| 476 |
-
"sha256": "
|
| 477 |
},
|
| 478 |
"checkpoints/checkpoint-384/adapter_model.safetensors": {
|
| 479 |
"size": 547777976,
|
| 480 |
-
"sha256": "
|
| 481 |
},
|
| 482 |
"checkpoints/checkpoint-384/chat_template.jinja": {
|
| 483 |
"size": 1532,
|
|
@@ -485,7 +481,7 @@
|
|
| 485 |
},
|
| 486 |
"checkpoints/checkpoint-384/optimizer.pt": {
|
| 487 |
"size": 1048106435,
|
| 488 |
-
"sha256": "
|
| 489 |
},
|
| 490 |
"checkpoints/checkpoint-384/rng_state.pth": {
|
| 491 |
"size": 14645,
|
|
@@ -508,8 +504,8 @@
|
|
| 508 |
"sha256": "de563327ae6aae9986227588641dbd4a73c35ac9737ce28dd8b18d6807eb841f"
|
| 509 |
},
|
| 510 |
"checkpoints/checkpoint-384/trainer_state.json": {
|
| 511 |
-
"size":
|
| 512 |
-
"sha256": "
|
| 513 |
},
|
| 514 |
"checkpoints/checkpoint-384/training_args.bin": {
|
| 515 |
"size": 8273,
|
|
@@ -521,11 +517,11 @@
|
|
| 521 |
},
|
| 522 |
"checkpoints/checkpoint-416/adapter_config.json": {
|
| 523 |
"size": 1098,
|
| 524 |
-
"sha256": "
|
| 525 |
},
|
| 526 |
"checkpoints/checkpoint-416/adapter_model.safetensors": {
|
| 527 |
"size": 547777976,
|
| 528 |
-
"sha256": "
|
| 529 |
},
|
| 530 |
"checkpoints/checkpoint-416/chat_template.jinja": {
|
| 531 |
"size": 1532,
|
|
@@ -533,7 +529,7 @@
|
|
| 533 |
},
|
| 534 |
"checkpoints/checkpoint-416/optimizer.pt": {
|
| 535 |
"size": 1048106435,
|
| 536 |
-
"sha256": "
|
| 537 |
},
|
| 538 |
"checkpoints/checkpoint-416/rng_state.pth": {
|
| 539 |
"size": 14645,
|
|
@@ -556,8 +552,8 @@
|
|
| 556 |
"sha256": "652b2133eb54c05ce95ac81317114e9b6a0e614398fea583a61e940a40659c7a"
|
| 557 |
},
|
| 558 |
"checkpoints/checkpoint-416/trainer_state.json": {
|
| 559 |
-
"size":
|
| 560 |
-
"sha256": "
|
| 561 |
},
|
| 562 |
"checkpoints/checkpoint-416/training_args.bin": {
|
| 563 |
"size": 8273,
|
|
@@ -569,11 +565,11 @@
|
|
| 569 |
},
|
| 570 |
"checkpoints/checkpoint-448/adapter_config.json": {
|
| 571 |
"size": 1098,
|
| 572 |
-
"sha256": "
|
| 573 |
},
|
| 574 |
"checkpoints/checkpoint-448/adapter_model.safetensors": {
|
| 575 |
"size": 547777976,
|
| 576 |
-
"sha256": "
|
| 577 |
},
|
| 578 |
"checkpoints/checkpoint-448/chat_template.jinja": {
|
| 579 |
"size": 1532,
|
|
@@ -581,7 +577,7 @@
|
|
| 581 |
},
|
| 582 |
"checkpoints/checkpoint-448/optimizer.pt": {
|
| 583 |
"size": 1048106435,
|
| 584 |
-
"sha256": "
|
| 585 |
},
|
| 586 |
"checkpoints/checkpoint-448/rng_state.pth": {
|
| 587 |
"size": 14645,
|
|
@@ -604,8 +600,8 @@
|
|
| 604 |
"sha256": "10af6c079666802d71ae9c72bb1cbc9f22808f4d291cf6e573a5b2e67474c845"
|
| 605 |
},
|
| 606 |
"checkpoints/checkpoint-448/trainer_state.json": {
|
| 607 |
-
"size":
|
| 608 |
-
"sha256": "
|
| 609 |
},
|
| 610 |
"checkpoints/checkpoint-448/training_args.bin": {
|
| 611 |
"size": 8273,
|
|
@@ -617,11 +613,11 @@
|
|
| 617 |
},
|
| 618 |
"checkpoints/checkpoint-480/adapter_config.json": {
|
| 619 |
"size": 1098,
|
| 620 |
-
"sha256": "
|
| 621 |
},
|
| 622 |
"checkpoints/checkpoint-480/adapter_model.safetensors": {
|
| 623 |
"size": 547777976,
|
| 624 |
-
"sha256": "
|
| 625 |
},
|
| 626 |
"checkpoints/checkpoint-480/chat_template.jinja": {
|
| 627 |
"size": 1532,
|
|
@@ -629,7 +625,7 @@
|
|
| 629 |
},
|
| 630 |
"checkpoints/checkpoint-480/optimizer.pt": {
|
| 631 |
"size": 1048106435,
|
| 632 |
-
"sha256": "
|
| 633 |
},
|
| 634 |
"checkpoints/checkpoint-480/rng_state.pth": {
|
| 635 |
"size": 14645,
|
|
@@ -652,8 +648,8 @@
|
|
| 652 |
"sha256": "85bdbabb8730d75534c72ab0a81c3ecb4ff9ac98eea4469e2679cfba645756f8"
|
| 653 |
},
|
| 654 |
"checkpoints/checkpoint-480/trainer_state.json": {
|
| 655 |
-
"size":
|
| 656 |
-
"sha256": "
|
| 657 |
},
|
| 658 |
"checkpoints/checkpoint-480/training_args.bin": {
|
| 659 |
"size": 8273,
|
|
@@ -665,11 +661,11 @@
|
|
| 665 |
},
|
| 666 |
"checkpoints/checkpoint-512/adapter_config.json": {
|
| 667 |
"size": 1098,
|
| 668 |
-
"sha256": "
|
| 669 |
},
|
| 670 |
"checkpoints/checkpoint-512/adapter_model.safetensors": {
|
| 671 |
"size": 547777976,
|
| 672 |
-
"sha256": "
|
| 673 |
},
|
| 674 |
"checkpoints/checkpoint-512/chat_template.jinja": {
|
| 675 |
"size": 1532,
|
|
@@ -677,7 +673,7 @@
|
|
| 677 |
},
|
| 678 |
"checkpoints/checkpoint-512/optimizer.pt": {
|
| 679 |
"size": 1048106435,
|
| 680 |
-
"sha256": "
|
| 681 |
},
|
| 682 |
"checkpoints/checkpoint-512/rng_state.pth": {
|
| 683 |
"size": 14645,
|
|
@@ -700,8 +696,8 @@
|
|
| 700 |
"sha256": "4d82a7b165306146e513981b6a240a91c413adc0bd1ca86c287c605b23a88ed8"
|
| 701 |
},
|
| 702 |
"checkpoints/checkpoint-512/trainer_state.json": {
|
| 703 |
-
"size":
|
| 704 |
-
"sha256": "
|
| 705 |
},
|
| 706 |
"checkpoints/checkpoint-512/training_args.bin": {
|
| 707 |
"size": 8273,
|
|
@@ -713,11 +709,11 @@
|
|
| 713 |
},
|
| 714 |
"checkpoints/checkpoint-64/adapter_config.json": {
|
| 715 |
"size": 1098,
|
| 716 |
-
"sha256": "
|
| 717 |
},
|
| 718 |
"checkpoints/checkpoint-64/adapter_model.safetensors": {
|
| 719 |
"size": 547777976,
|
| 720 |
-
"sha256": "
|
| 721 |
},
|
| 722 |
"checkpoints/checkpoint-64/chat_template.jinja": {
|
| 723 |
"size": 1532,
|
|
@@ -725,7 +721,7 @@
|
|
| 725 |
},
|
| 726 |
"checkpoints/checkpoint-64/optimizer.pt": {
|
| 727 |
"size": 1048106435,
|
| 728 |
-
"sha256": "
|
| 729 |
},
|
| 730 |
"checkpoints/checkpoint-64/rng_state.pth": {
|
| 731 |
"size": 14645,
|
|
@@ -748,8 +744,8 @@
|
|
| 748 |
"sha256": "abe2b3d625c28fc391b4b32077194735a0210c1485305bfd5103fbcb44a1be6f"
|
| 749 |
},
|
| 750 |
"checkpoints/checkpoint-64/trainer_state.json": {
|
| 751 |
-
"size":
|
| 752 |
-
"sha256": "
|
| 753 |
},
|
| 754 |
"checkpoints/checkpoint-64/training_args.bin": {
|
| 755 |
"size": 8273,
|
|
@@ -761,11 +757,11 @@
|
|
| 761 |
},
|
| 762 |
"checkpoints/checkpoint-96/adapter_config.json": {
|
| 763 |
"size": 1098,
|
| 764 |
-
"sha256": "
|
| 765 |
},
|
| 766 |
"checkpoints/checkpoint-96/adapter_model.safetensors": {
|
| 767 |
"size": 547777976,
|
| 768 |
-
"sha256": "
|
| 769 |
},
|
| 770 |
"checkpoints/checkpoint-96/chat_template.jinja": {
|
| 771 |
"size": 1532,
|
|
@@ -773,7 +769,7 @@
|
|
| 773 |
},
|
| 774 |
"checkpoints/checkpoint-96/optimizer.pt": {
|
| 775 |
"size": 1048106435,
|
| 776 |
-
"sha256": "
|
| 777 |
},
|
| 778 |
"checkpoints/checkpoint-96/rng_state.pth": {
|
| 779 |
"size": 14645,
|
|
@@ -796,8 +792,8 @@
|
|
| 796 |
"sha256": "0b71c52644fe1614b0f38698396e8137456254e1ccd3cdb601c7d33938f83ceb"
|
| 797 |
},
|
| 798 |
"checkpoints/checkpoint-96/trainer_state.json": {
|
| 799 |
-
"size":
|
| 800 |
-
"sha256": "
|
| 801 |
},
|
| 802 |
"checkpoints/checkpoint-96/training_args.bin": {
|
| 803 |
"size": 8273,
|
|
@@ -808,8 +804,8 @@
|
|
| 808 |
"sha256": "7c5b66498629a75e7fe3e4219bc41040b8106735e598f0837d60656025390e1a"
|
| 809 |
},
|
| 810 |
"checkpoints/debug.log": {
|
| 811 |
-
"size":
|
| 812 |
-
"sha256": "
|
| 813 |
},
|
| 814 |
"checkpoints/processor_config.json": {
|
| 815 |
"size": 519,
|
|
@@ -841,19 +837,19 @@
|
|
| 841 |
},
|
| 842 |
"health/training_started.json": {
|
| 843 |
"size": 137,
|
| 844 |
-
"sha256": "
|
| 845 |
},
|
| 846 |
"run.json": {
|
| 847 |
"size": 411,
|
| 848 |
-
"sha256": "
|
| 849 |
},
|
| 850 |
"train.log": {
|
| 851 |
-
"size":
|
| 852 |
-
"sha256": "
|
| 853 |
},
|
| 854 |
"trainer_state.final.json": {
|
| 855 |
-
"size":
|
| 856 |
-
"sha256": "
|
| 857 |
},
|
| 858 |
"training_examples.jsonl": {
|
| 859 |
"size": 3159703,
|
|
@@ -861,11 +857,11 @@
|
|
| 861 |
},
|
| 862 |
"training_provenance.json": {
|
| 863 |
"size": 4092,
|
| 864 |
-
"sha256": "
|
| 865 |
},
|
| 866 |
"training_trace.jsonl": {
|
| 867 |
-
"size":
|
| 868 |
-
"sha256": "
|
| 869 |
}
|
| 870 |
}
|
| 871 |
}
|
|
|
|
| 3 |
"remote_prefix": "aft_wave_v2/charter_real_4x__charter0p2/training",
|
| 4 |
"local_folder": "/workspace/wave/training",
|
| 5 |
"files": {
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
"TRAINED.json": {
|
| 7 |
"size": 971,
|
| 8 |
+
"sha256": "86dff4827cec45c28ca115c55f882194a5ae3b27ed3f562ad14e448b5b0511d4"
|
| 9 |
},
|
| 10 |
"axolotl.yaml": {
|
| 11 |
"size": 1212,
|
|
|
|
| 17 |
},
|
| 18 |
"checkpoints/README.md": {
|
| 19 |
"size": 2940,
|
| 20 |
+
"sha256": "4271290e2aac2268b1f1f5d17ba44bc5bbe55c32136c49a28363bed2f9839db3"
|
| 21 |
},
|
| 22 |
"checkpoints/adapter_config.json": {
|
| 23 |
"size": 1098,
|
| 24 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 25 |
},
|
| 26 |
"checkpoints/adapter_model.safetensors": {
|
| 27 |
"size": 547777976,
|
| 28 |
+
"sha256": "233181cf98d9388b75d25740fa98f4912414f643945abe781e342921d3103c33"
|
| 29 |
},
|
| 30 |
"checkpoints/chat_template.jinja": {
|
| 31 |
"size": 1532,
|
|
|
|
| 37 |
},
|
| 38 |
"checkpoints/checkpoint-128/adapter_config.json": {
|
| 39 |
"size": 1098,
|
| 40 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 41 |
},
|
| 42 |
"checkpoints/checkpoint-128/adapter_model.safetensors": {
|
| 43 |
"size": 547777976,
|
| 44 |
+
"sha256": "3f1232a16d0520320414f58d94d5f509d4b83a46301d605ae211ef5fad08fd92"
|
| 45 |
},
|
| 46 |
"checkpoints/checkpoint-128/chat_template.jinja": {
|
| 47 |
"size": 1532,
|
|
|
|
| 49 |
},
|
| 50 |
"checkpoints/checkpoint-128/optimizer.pt": {
|
| 51 |
"size": 1048106435,
|
| 52 |
+
"sha256": "79cad515f4ed7d2ff22d6d1f4d297118e28472c3ed5013074b95f3a7de19a068"
|
| 53 |
},
|
| 54 |
"checkpoints/checkpoint-128/rng_state.pth": {
|
| 55 |
"size": 14645,
|
|
|
|
| 72 |
"sha256": "626a3a668af45684d29aa868c59a31a375f48326b3e3477ec7a45f305e4e9263"
|
| 73 |
},
|
| 74 |
"checkpoints/checkpoint-128/trainer_state.json": {
|
| 75 |
+
"size": 56230,
|
| 76 |
+
"sha256": "039234258f3ac1d29e52bf6e34795d5b94d253c782cca1c1935b530fa8a8000f"
|
| 77 |
},
|
| 78 |
"checkpoints/checkpoint-128/training_args.bin": {
|
| 79 |
"size": 8273,
|
|
|
|
| 85 |
},
|
| 86 |
"checkpoints/checkpoint-160/adapter_config.json": {
|
| 87 |
"size": 1098,
|
| 88 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 89 |
},
|
| 90 |
"checkpoints/checkpoint-160/adapter_model.safetensors": {
|
| 91 |
"size": 547777976,
|
| 92 |
+
"sha256": "d0ec2fda759f4acc2d571f1aa01cddeb7e652ae76a2192764fa3f484ad747b2d"
|
| 93 |
},
|
| 94 |
"checkpoints/checkpoint-160/chat_template.jinja": {
|
| 95 |
"size": 1532,
|
|
|
|
| 97 |
},
|
| 98 |
"checkpoints/checkpoint-160/optimizer.pt": {
|
| 99 |
"size": 1048106435,
|
| 100 |
+
"sha256": "f42e923d88dd4678850893eda2d5c85346f6cb58ddcb4bc4381e248f7c253215"
|
| 101 |
},
|
| 102 |
"checkpoints/checkpoint-160/rng_state.pth": {
|
| 103 |
"size": 14645,
|
|
|
|
| 120 |
"sha256": "52e1c49d14095bc8dac2d7ce56d7a7d2565d1eaafd9d642f6ec87983f564a61e"
|
| 121 |
},
|
| 122 |
"checkpoints/checkpoint-160/trainer_state.json": {
|
| 123 |
+
"size": 70223,
|
| 124 |
+
"sha256": "b2c1562c80fca8960126551f39f8d1818c8fe517bc4948753a37932a6f8410c4"
|
| 125 |
},
|
| 126 |
"checkpoints/checkpoint-160/training_args.bin": {
|
| 127 |
"size": 8273,
|
|
|
|
| 133 |
},
|
| 134 |
"checkpoints/checkpoint-192/adapter_config.json": {
|
| 135 |
"size": 1098,
|
| 136 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 137 |
},
|
| 138 |
"checkpoints/checkpoint-192/adapter_model.safetensors": {
|
| 139 |
"size": 547777976,
|
| 140 |
+
"sha256": "addc43eac40d30997d1c96edd95d0d8aa7487e2445c49cdf79b0455430b1de6f"
|
| 141 |
},
|
| 142 |
"checkpoints/checkpoint-192/chat_template.jinja": {
|
| 143 |
"size": 1532,
|
|
|
|
| 145 |
},
|
| 146 |
"checkpoints/checkpoint-192/optimizer.pt": {
|
| 147 |
"size": 1048106435,
|
| 148 |
+
"sha256": "834289feb23bb456b63d84cc27297ddd1725ef154d62d8d527a53b53cedfe611"
|
| 149 |
},
|
| 150 |
"checkpoints/checkpoint-192/rng_state.pth": {
|
| 151 |
"size": 14645,
|
|
|
|
| 168 |
"sha256": "56653a01ea2a528ef30b635baa652e642b815967a6febe58b4d5c0bf26ea3590"
|
| 169 |
},
|
| 170 |
"checkpoints/checkpoint-192/trainer_state.json": {
|
| 171 |
+
"size": 84221,
|
| 172 |
+
"sha256": "a2c3d586dafe710dc08dd4d231b9ed6d85b50d9eff4328e6491f49b9f85adfe4"
|
| 173 |
},
|
| 174 |
"checkpoints/checkpoint-192/training_args.bin": {
|
| 175 |
"size": 8273,
|
|
|
|
| 181 |
},
|
| 182 |
"checkpoints/checkpoint-224/adapter_config.json": {
|
| 183 |
"size": 1098,
|
| 184 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 185 |
},
|
| 186 |
"checkpoints/checkpoint-224/adapter_model.safetensors": {
|
| 187 |
"size": 547777976,
|
| 188 |
+
"sha256": "979514659b1d094a5d83c6a774436f5fd92941e721e8bb3985a35bd5290c0c80"
|
| 189 |
},
|
| 190 |
"checkpoints/checkpoint-224/chat_template.jinja": {
|
| 191 |
"size": 1532,
|
|
|
|
| 193 |
},
|
| 194 |
"checkpoints/checkpoint-224/optimizer.pt": {
|
| 195 |
"size": 1048106435,
|
| 196 |
+
"sha256": "23a261ce3f869037ab38c9c39f4a09db5b4192eefc2f1c20941476fccf6d6cc6"
|
| 197 |
},
|
| 198 |
"checkpoints/checkpoint-224/rng_state.pth": {
|
| 199 |
"size": 14645,
|
|
|
|
| 216 |
"sha256": "16868a422e40c264a6ca0bde115aac3a878f4138b3eb5b6cbdb5317d3076c77b"
|
| 217 |
},
|
| 218 |
"checkpoints/checkpoint-224/trainer_state.json": {
|
| 219 |
+
"size": 98241,
|
| 220 |
+
"sha256": "3177b2834f2398d6c5c2130c9754f1dfb67aaff6369a94943a5633c98403f3e0"
|
| 221 |
},
|
| 222 |
"checkpoints/checkpoint-224/training_args.bin": {
|
| 223 |
"size": 8273,
|
|
|
|
| 229 |
},
|
| 230 |
"checkpoints/checkpoint-256/adapter_config.json": {
|
| 231 |
"size": 1098,
|
| 232 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 233 |
},
|
| 234 |
"checkpoints/checkpoint-256/adapter_model.safetensors": {
|
| 235 |
"size": 547777976,
|
| 236 |
+
"sha256": "3c3aa4e3adc3fe3f8661ee9fc04525dc463ece02efbcbd211454e4cf5453d58d"
|
| 237 |
},
|
| 238 |
"checkpoints/checkpoint-256/chat_template.jinja": {
|
| 239 |
"size": 1532,
|
|
|
|
| 241 |
},
|
| 242 |
"checkpoints/checkpoint-256/optimizer.pt": {
|
| 243 |
"size": 1048106435,
|
| 244 |
+
"sha256": "f9662bc0797e0e1db0bc6895c9bc75df80888b1ccb33f4a5b2e1e597ea94d205"
|
| 245 |
},
|
| 246 |
"checkpoints/checkpoint-256/rng_state.pth": {
|
| 247 |
"size": 14645,
|
|
|
|
| 264 |
"sha256": "a85de408b5cf3e4ec60a2f664d4ea579669320f6d816f5e149ddc498d54af418"
|
| 265 |
},
|
| 266 |
"checkpoints/checkpoint-256/trainer_state.json": {
|
| 267 |
+
"size": 112315,
|
| 268 |
+
"sha256": "bac17d2336e40db0fde8798ce9462a9e4895eda606f1f66474359d2b14cb9ea3"
|
| 269 |
},
|
| 270 |
"checkpoints/checkpoint-256/training_args.bin": {
|
| 271 |
"size": 8273,
|
|
|
|
| 277 |
},
|
| 278 |
"checkpoints/checkpoint-288/adapter_config.json": {
|
| 279 |
"size": 1098,
|
| 280 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 281 |
},
|
| 282 |
"checkpoints/checkpoint-288/adapter_model.safetensors": {
|
| 283 |
"size": 547777976,
|
| 284 |
+
"sha256": "8b6b211172b7b4a5bb9d11be32464c34efea59a5634ffba51e45354ca26a904b"
|
| 285 |
},
|
| 286 |
"checkpoints/checkpoint-288/chat_template.jinja": {
|
| 287 |
"size": 1532,
|
|
|
|
| 289 |
},
|
| 290 |
"checkpoints/checkpoint-288/optimizer.pt": {
|
| 291 |
"size": 1048106435,
|
| 292 |
+
"sha256": "ab3413182334b4b5b58f9552c1fc27cc286a9ac97cb2d2d1d34c873ad1aa0bd7"
|
| 293 |
},
|
| 294 |
"checkpoints/checkpoint-288/rng_state.pth": {
|
| 295 |
"size": 14645,
|
|
|
|
| 312 |
"sha256": "269f96db3710e3541266527aebd6cf43e7cd78f17ad6edf08dce39315676b4c2"
|
| 313 |
},
|
| 314 |
"checkpoints/checkpoint-288/trainer_state.json": {
|
| 315 |
+
"size": 126384,
|
| 316 |
+
"sha256": "fca5a5f77af4cfdfed75810e48ab475d7ee5b90c77b7291c812d9e03e9caac14"
|
| 317 |
},
|
| 318 |
"checkpoints/checkpoint-288/training_args.bin": {
|
| 319 |
"size": 8273,
|
|
|
|
| 325 |
},
|
| 326 |
"checkpoints/checkpoint-32/adapter_config.json": {
|
| 327 |
"size": 1098,
|
| 328 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 329 |
},
|
| 330 |
"checkpoints/checkpoint-32/adapter_model.safetensors": {
|
| 331 |
"size": 547777976,
|
| 332 |
+
"sha256": "4e11109b420d74bf4d999c5f3db3427d06e66a70f0555f1b6f0ca7230ab9ad49"
|
| 333 |
},
|
| 334 |
"checkpoints/checkpoint-32/chat_template.jinja": {
|
| 335 |
"size": 1532,
|
|
|
|
| 337 |
},
|
| 338 |
"checkpoints/checkpoint-32/optimizer.pt": {
|
| 339 |
"size": 1048106435,
|
| 340 |
+
"sha256": "a0df4d04b248dc7da2d0087ae63e68d3fd87c683d965824a39664285ade3d5ec"
|
| 341 |
},
|
| 342 |
"checkpoints/checkpoint-32/rng_state.pth": {
|
| 343 |
"size": 14645,
|
|
|
|
| 360 |
"sha256": "cec49603be80ef1df2a4dadb25de3e8be8585000fa9c1e62970e67efa8f9d602"
|
| 361 |
},
|
| 362 |
"checkpoints/checkpoint-32/trainer_state.json": {
|
| 363 |
+
"size": 14405,
|
| 364 |
+
"sha256": "afe586e7e2a98607bfea1d63a8f46da2b10706165559775d8b2034da62ffa715"
|
| 365 |
},
|
| 366 |
"checkpoints/checkpoint-32/training_args.bin": {
|
| 367 |
"size": 8273,
|
|
|
|
| 373 |
},
|
| 374 |
"checkpoints/checkpoint-320/adapter_config.json": {
|
| 375 |
"size": 1098,
|
| 376 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 377 |
},
|
| 378 |
"checkpoints/checkpoint-320/adapter_model.safetensors": {
|
| 379 |
"size": 547777976,
|
| 380 |
+
"sha256": "88b59a0a4af62c5d6d089bc7e201a8c1382b9a2d69888f12374c8d24039cefa1"
|
| 381 |
},
|
| 382 |
"checkpoints/checkpoint-320/chat_template.jinja": {
|
| 383 |
"size": 1532,
|
|
|
|
| 385 |
},
|
| 386 |
"checkpoints/checkpoint-320/optimizer.pt": {
|
| 387 |
"size": 1048106435,
|
| 388 |
+
"sha256": "2864bbb33dc4fc464d576a66e1c570b5f060ff9aaa9b6d046e4b981677b68279"
|
| 389 |
},
|
| 390 |
"checkpoints/checkpoint-320/rng_state.pth": {
|
| 391 |
"size": 14645,
|
|
|
|
| 408 |
"sha256": "5dba8649e21e024152b4b3daeba662208bb0f33796ac11478c9b0d7cffa65e97"
|
| 409 |
},
|
| 410 |
"checkpoints/checkpoint-320/trainer_state.json": {
|
| 411 |
+
"size": 140486,
|
| 412 |
+
"sha256": "63ba7303997b7e39aab0d9754e68470cf3797604a8270e9fa763a109533bf05a"
|
| 413 |
},
|
| 414 |
"checkpoints/checkpoint-320/training_args.bin": {
|
| 415 |
"size": 8273,
|
|
|
|
| 421 |
},
|
| 422 |
"checkpoints/checkpoint-352/adapter_config.json": {
|
| 423 |
"size": 1098,
|
| 424 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 425 |
},
|
| 426 |
"checkpoints/checkpoint-352/adapter_model.safetensors": {
|
| 427 |
"size": 547777976,
|
| 428 |
+
"sha256": "7ce71f7bdb65715a57568d6ac1ba6b169e099d44dee160ac6712a1b1c519d0c2"
|
| 429 |
},
|
| 430 |
"checkpoints/checkpoint-352/chat_template.jinja": {
|
| 431 |
"size": 1532,
|
|
|
|
| 433 |
},
|
| 434 |
"checkpoints/checkpoint-352/optimizer.pt": {
|
| 435 |
"size": 1048106435,
|
| 436 |
+
"sha256": "5aa6265205543c9813badf549268c94dc29d280e509da8803fb666a50461c572"
|
| 437 |
},
|
| 438 |
"checkpoints/checkpoint-352/rng_state.pth": {
|
| 439 |
"size": 14645,
|
|
|
|
| 456 |
"sha256": "8b8f1db9f0311bacf95a403fdc167f8bce05fa9b5631e294453130a08f29b9c4"
|
| 457 |
},
|
| 458 |
"checkpoints/checkpoint-352/trainer_state.json": {
|
| 459 |
+
"size": 154613,
|
| 460 |
+
"sha256": "60dff7148db85a57aad2a472b2ede244f971d3add8267ed5d5ac080ec0d5b018"
|
| 461 |
},
|
| 462 |
"checkpoints/checkpoint-352/training_args.bin": {
|
| 463 |
"size": 8273,
|
|
|
|
| 469 |
},
|
| 470 |
"checkpoints/checkpoint-384/adapter_config.json": {
|
| 471 |
"size": 1098,
|
| 472 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 473 |
},
|
| 474 |
"checkpoints/checkpoint-384/adapter_model.safetensors": {
|
| 475 |
"size": 547777976,
|
| 476 |
+
"sha256": "5581f9f317e8357157f6822d4bd67c8a689db35d288f19903379b37fe9a35848"
|
| 477 |
},
|
| 478 |
"checkpoints/checkpoint-384/chat_template.jinja": {
|
| 479 |
"size": 1532,
|
|
|
|
| 481 |
},
|
| 482 |
"checkpoints/checkpoint-384/optimizer.pt": {
|
| 483 |
"size": 1048106435,
|
| 484 |
+
"sha256": "324578d5318f3f740994a82d66eaaab102a2ae1419e523325c6b3aa6aea75836"
|
| 485 |
},
|
| 486 |
"checkpoints/checkpoint-384/rng_state.pth": {
|
| 487 |
"size": 14645,
|
|
|
|
| 504 |
"sha256": "de563327ae6aae9986227588641dbd4a73c35ac9737ce28dd8b18d6807eb841f"
|
| 505 |
},
|
| 506 |
"checkpoints/checkpoint-384/trainer_state.json": {
|
| 507 |
+
"size": 168759,
|
| 508 |
+
"sha256": "d6ad17b77fc8a0830444b3f887a19169c7f9a771eaef50eaf7f4b4bc0f001a93"
|
| 509 |
},
|
| 510 |
"checkpoints/checkpoint-384/training_args.bin": {
|
| 511 |
"size": 8273,
|
|
|
|
| 517 |
},
|
| 518 |
"checkpoints/checkpoint-416/adapter_config.json": {
|
| 519 |
"size": 1098,
|
| 520 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 521 |
},
|
| 522 |
"checkpoints/checkpoint-416/adapter_model.safetensors": {
|
| 523 |
"size": 547777976,
|
| 524 |
+
"sha256": "5a7cb7b80828a935abc743ce1b3296d23f6b4af6fd9ec8e43392059a3ae4e893"
|
| 525 |
},
|
| 526 |
"checkpoints/checkpoint-416/chat_template.jinja": {
|
| 527 |
"size": 1532,
|
|
|
|
| 529 |
},
|
| 530 |
"checkpoints/checkpoint-416/optimizer.pt": {
|
| 531 |
"size": 1048106435,
|
| 532 |
+
"sha256": "b1b828d321a91c5ed711734eacce07b16ea0f63ebf7695f8e1c77243f6364e6e"
|
| 533 |
},
|
| 534 |
"checkpoints/checkpoint-416/rng_state.pth": {
|
| 535 |
"size": 14645,
|
|
|
|
| 552 |
"sha256": "652b2133eb54c05ce95ac81317114e9b6a0e614398fea583a61e940a40659c7a"
|
| 553 |
},
|
| 554 |
"checkpoints/checkpoint-416/trainer_state.json": {
|
| 555 |
+
"size": 182909,
|
| 556 |
+
"sha256": "a02d7e9d875166505cfe3aabd810ac72b167eb9ac8ba949778757f730a678d5f"
|
| 557 |
},
|
| 558 |
"checkpoints/checkpoint-416/training_args.bin": {
|
| 559 |
"size": 8273,
|
|
|
|
| 565 |
},
|
| 566 |
"checkpoints/checkpoint-448/adapter_config.json": {
|
| 567 |
"size": 1098,
|
| 568 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 569 |
},
|
| 570 |
"checkpoints/checkpoint-448/adapter_model.safetensors": {
|
| 571 |
"size": 547777976,
|
| 572 |
+
"sha256": "1eb3d591ce153c2a4556c9f93c60c352d3c882d47e4ce5be7c18c310c4f811f4"
|
| 573 |
},
|
| 574 |
"checkpoints/checkpoint-448/chat_template.jinja": {
|
| 575 |
"size": 1532,
|
|
|
|
| 577 |
},
|
| 578 |
"checkpoints/checkpoint-448/optimizer.pt": {
|
| 579 |
"size": 1048106435,
|
| 580 |
+
"sha256": "3faad3751c767d14b48f00eccec7568928e290a8f8c3f619dc85813de53d3afc"
|
| 581 |
},
|
| 582 |
"checkpoints/checkpoint-448/rng_state.pth": {
|
| 583 |
"size": 14645,
|
|
|
|
| 600 |
"sha256": "10af6c079666802d71ae9c72bb1cbc9f22808f4d291cf6e573a5b2e67474c845"
|
| 601 |
},
|
| 602 |
"checkpoints/checkpoint-448/trainer_state.json": {
|
| 603 |
+
"size": 197053,
|
| 604 |
+
"sha256": "582411e943d84d447a442c9381fdadc896649ba82a4d7ef2fc86e893fa02b8e4"
|
| 605 |
},
|
| 606 |
"checkpoints/checkpoint-448/training_args.bin": {
|
| 607 |
"size": 8273,
|
|
|
|
| 613 |
},
|
| 614 |
"checkpoints/checkpoint-480/adapter_config.json": {
|
| 615 |
"size": 1098,
|
| 616 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 617 |
},
|
| 618 |
"checkpoints/checkpoint-480/adapter_model.safetensors": {
|
| 619 |
"size": 547777976,
|
| 620 |
+
"sha256": "5f9554509b9b3fde8b26650090aefc34c1e60f093cb129b6fdb78abfc58218c0"
|
| 621 |
},
|
| 622 |
"checkpoints/checkpoint-480/chat_template.jinja": {
|
| 623 |
"size": 1532,
|
|
|
|
| 625 |
},
|
| 626 |
"checkpoints/checkpoint-480/optimizer.pt": {
|
| 627 |
"size": 1048106435,
|
| 628 |
+
"sha256": "d12a17b1f902b4886935dd59e4bb62b80c89b4ab2cfdc83d22bbb6372b66215a"
|
| 629 |
},
|
| 630 |
"checkpoints/checkpoint-480/rng_state.pth": {
|
| 631 |
"size": 14645,
|
|
|
|
| 648 |
"sha256": "85bdbabb8730d75534c72ab0a81c3ecb4ff9ac98eea4469e2679cfba645756f8"
|
| 649 |
},
|
| 650 |
"checkpoints/checkpoint-480/trainer_state.json": {
|
| 651 |
+
"size": 211220,
|
| 652 |
+
"sha256": "b6bc45e562f77073aa577c70cfc910179e6d6590e5af76c97f23ca07eda18e41"
|
| 653 |
},
|
| 654 |
"checkpoints/checkpoint-480/training_args.bin": {
|
| 655 |
"size": 8273,
|
|
|
|
| 661 |
},
|
| 662 |
"checkpoints/checkpoint-512/adapter_config.json": {
|
| 663 |
"size": 1098,
|
| 664 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 665 |
},
|
| 666 |
"checkpoints/checkpoint-512/adapter_model.safetensors": {
|
| 667 |
"size": 547777976,
|
| 668 |
+
"sha256": "233181cf98d9388b75d25740fa98f4912414f643945abe781e342921d3103c33"
|
| 669 |
},
|
| 670 |
"checkpoints/checkpoint-512/chat_template.jinja": {
|
| 671 |
"size": 1532,
|
|
|
|
| 673 |
},
|
| 674 |
"checkpoints/checkpoint-512/optimizer.pt": {
|
| 675 |
"size": 1048106435,
|
| 676 |
+
"sha256": "16c3da8efe9c136763c30af87a2769a1e809cdc1eca270b3b513e5a6efa6cba8"
|
| 677 |
},
|
| 678 |
"checkpoints/checkpoint-512/rng_state.pth": {
|
| 679 |
"size": 14645,
|
|
|
|
| 696 |
"sha256": "4d82a7b165306146e513981b6a240a91c413adc0bd1ca86c287c605b23a88ed8"
|
| 697 |
},
|
| 698 |
"checkpoints/checkpoint-512/trainer_state.json": {
|
| 699 |
+
"size": 225403,
|
| 700 |
+
"sha256": "755691ae5ac95c3e2da06b41d65779b33db52149dac89d208ed8f2c7c91c7ec2"
|
| 701 |
},
|
| 702 |
"checkpoints/checkpoint-512/training_args.bin": {
|
| 703 |
"size": 8273,
|
|
|
|
| 709 |
},
|
| 710 |
"checkpoints/checkpoint-64/adapter_config.json": {
|
| 711 |
"size": 1098,
|
| 712 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 713 |
},
|
| 714 |
"checkpoints/checkpoint-64/adapter_model.safetensors": {
|
| 715 |
"size": 547777976,
|
| 716 |
+
"sha256": "4e7b933e426f2788efc72abfac9f3ab778dd7efab673628477eaaddfed7231f4"
|
| 717 |
},
|
| 718 |
"checkpoints/checkpoint-64/chat_template.jinja": {
|
| 719 |
"size": 1532,
|
|
|
|
| 721 |
},
|
| 722 |
"checkpoints/checkpoint-64/optimizer.pt": {
|
| 723 |
"size": 1048106435,
|
| 724 |
+
"sha256": "ccbce30983b31ecf36d6a397cb447dd999fb42a26f7deac558eb8c9e8202815d"
|
| 725 |
},
|
| 726 |
"checkpoints/checkpoint-64/rng_state.pth": {
|
| 727 |
"size": 14645,
|
|
|
|
| 744 |
"sha256": "abe2b3d625c28fc391b4b32077194735a0210c1485305bfd5103fbcb44a1be6f"
|
| 745 |
},
|
| 746 |
"checkpoints/checkpoint-64/trainer_state.json": {
|
| 747 |
+
"size": 28334,
|
| 748 |
+
"sha256": "b24778774542fa5ee7d38a31439d99c34289340ce8d0f629686bd3c29fbf465b"
|
| 749 |
},
|
| 750 |
"checkpoints/checkpoint-64/training_args.bin": {
|
| 751 |
"size": 8273,
|
|
|
|
| 757 |
},
|
| 758 |
"checkpoints/checkpoint-96/adapter_config.json": {
|
| 759 |
"size": 1098,
|
| 760 |
+
"sha256": "7c82ddbee37f3cbebcd0fde9b8bff1b78167a899aa2162e17849cde80c1deb9e"
|
| 761 |
},
|
| 762 |
"checkpoints/checkpoint-96/adapter_model.safetensors": {
|
| 763 |
"size": 547777976,
|
| 764 |
+
"sha256": "1ebc2264ddd6c676d1ff2042910678b4aa79c530d89a391f7cce9bd2384e5f79"
|
| 765 |
},
|
| 766 |
"checkpoints/checkpoint-96/chat_template.jinja": {
|
| 767 |
"size": 1532,
|
|
|
|
| 769 |
},
|
| 770 |
"checkpoints/checkpoint-96/optimizer.pt": {
|
| 771 |
"size": 1048106435,
|
| 772 |
+
"sha256": "8ea4e1f033d3e6fcaca184949121bf0f32f3d9dbf7417cfde610261c97121226"
|
| 773 |
},
|
| 774 |
"checkpoints/checkpoint-96/rng_state.pth": {
|
| 775 |
"size": 14645,
|
|
|
|
| 792 |
"sha256": "0b71c52644fe1614b0f38698396e8137456254e1ccd3cdb601c7d33938f83ceb"
|
| 793 |
},
|
| 794 |
"checkpoints/checkpoint-96/trainer_state.json": {
|
| 795 |
+
"size": 42278,
|
| 796 |
+
"sha256": "c0499c2f2fdcab9e25588c338c36756d383bba7797b2c2ee49e796026cfb208c"
|
| 797 |
},
|
| 798 |
"checkpoints/checkpoint-96/training_args.bin": {
|
| 799 |
"size": 8273,
|
|
|
|
| 804 |
"sha256": "7c5b66498629a75e7fe3e4219bc41040b8106735e598f0837d60656025390e1a"
|
| 805 |
},
|
| 806 |
"checkpoints/debug.log": {
|
| 807 |
+
"size": 267653,
|
| 808 |
+
"sha256": "7c8cc2d244c652d373a404e3187a96eca6f2863bce6bac8f67d9d0aaa96ef950"
|
| 809 |
},
|
| 810 |
"checkpoints/processor_config.json": {
|
| 811 |
"size": 519,
|
|
|
|
| 837 |
},
|
| 838 |
"health/training_started.json": {
|
| 839 |
"size": 137,
|
| 840 |
+
"sha256": "37a8487536c2f9e44da341156bae5752427c7d972fdc820ce93b01e3e71a02a4"
|
| 841 |
},
|
| 842 |
"run.json": {
|
| 843 |
"size": 411,
|
| 844 |
+
"sha256": "130d74b549af727a28f69125d2711a603acd014af70cf8ce8e6f060ea3e71a01"
|
| 845 |
},
|
| 846 |
"train.log": {
|
| 847 |
+
"size": 275045,
|
| 848 |
+
"sha256": "3091fdb249ffa171cee20572b4c170edcce72df145a5b3b58e1ee1ac8394a8b3"
|
| 849 |
},
|
| 850 |
"trainer_state.final.json": {
|
| 851 |
+
"size": 225403,
|
| 852 |
+
"sha256": "755691ae5ac95c3e2da06b41d65779b33db52149dac89d208ed8f2c7c91c7ec2"
|
| 853 |
},
|
| 854 |
"training_examples.jsonl": {
|
| 855 |
"size": 3159703,
|
|
|
|
| 857 |
},
|
| 858 |
"training_provenance.json": {
|
| 859 |
"size": 4092,
|
| 860 |
+
"sha256": "cc76e2f890ebdd2fb64f89749b1dc2c70f59454cf9060903a0be5578c8910d2c"
|
| 861 |
},
|
| 862 |
"training_trace.jsonl": {
|
| 863 |
+
"size": 182135,
|
| 864 |
+
"sha256": "10af6452a3fce499429aae51ecc38f86c286639c435b793be49d1fcbefdc2bfd"
|
| 865 |
}
|
| 866 |
}
|
| 867 |
}
|
aft_wave_v2/charter_real_4x__charter0p2/training/TRAINED.json
CHANGED
|
@@ -8,7 +8,7 @@
|
|
| 8 |
"training_rows": 8192,
|
| 9 |
"stage": "aft_dispatch_v4_wide",
|
| 10 |
"seed": 42,
|
| 11 |
-
"minutes":
|
| 12 |
"lora": {
|
| 13 |
"r": 32,
|
| 14 |
"alpha": 64,
|
|
|
|
| 8 |
"training_rows": 8192,
|
| 9 |
"stage": "aft_dispatch_v4_wide",
|
| 10 |
"seed": 42,
|
| 11 |
+
"minutes": 58.89,
|
| 12 |
"lora": {
|
| 13 |
"r": 32,
|
| 14 |
"alpha": 64,
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/README.md
CHANGED
|
@@ -7,8 +7,8 @@ tags:
|
|
| 7 |
- transformers
|
| 8 |
datasets:
|
| 9 |
- /workspace/wave/data/datasets/aft_charter0p2.jsonl
|
| 10 |
-
base_model: /workspace/wave/parent
|
| 11 |
pipeline_tag: text-generation
|
|
|
|
| 12 |
model-index:
|
| 13 |
- name: workspace/wave/training/checkpoints
|
| 14 |
results: []
|
|
|
|
| 7 |
- transformers
|
| 8 |
datasets:
|
| 9 |
- /workspace/wave/data/datasets/aft_charter0p2.jsonl
|
|
|
|
| 10 |
pipeline_tag: text-generation
|
| 11 |
+
base_model: /workspace/wave/parent
|
| 12 |
model-index:
|
| 13 |
- name: workspace/wave/training/checkpoints
|
| 14 |
results: []
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:233181cf98d9388b75d25740fa98f4912414f643945abe781e342921d3103c33
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f1232a16d0520320414f58d94d5f509d4b83a46301d605ae211ef5fad08fd92
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:79cad515f4ed7d2ff22d6d1f4d297118e28472c3ed5013074b95f3a7de19a068
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-128/trainer_state.json
CHANGED
|
@@ -11,7 +11,7 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
-
"grad_norm": 1.
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
@@ -20,12 +20,12 @@
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
-
"tokens/train_per_sec_per_gpu":
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
-
"grad_norm": 1.
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
@@ -34,326 +34,326 @@
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
-
"grad_norm":
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
-
"loss": 0.
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
-
"ppl": 1.
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
-
"grad_norm": 1.
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
-
"loss": 0.
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
-
"ppl": 1.
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
-
"grad_norm": 1.
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
-
"loss": 0.
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
-
"ppl": 1.
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
-
"grad_norm":
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
-
"loss": 0.
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
-
"ppl": 1.
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
-
"loss": 0.
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
-
"ppl": 1.
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
-
"grad_norm":
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
-
"loss": 0.
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
-
"ppl": 1.
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
-
"grad_norm":
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
-
"loss": 0.
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
-
"ppl": 1.
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
-
"grad_norm":
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
-
"loss": 0.
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
-
"ppl": 1.
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
-
"grad_norm":
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
-
"loss": 0.
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
-
"ppl": 1.
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
-
"grad_norm":
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
-
"loss": 0.
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
-
"ppl": 1.
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
-
"grad_norm":
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
-
"loss": 0.
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
-
"ppl": 1.
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
-
"grad_norm": 1.
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
-
"loss": 0.
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
-
"ppl": 1.
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
-
"grad_norm":
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
-
"loss": 0.
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
-
"ppl": 1.
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
-
"grad_norm":
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
-
"loss": 0.
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
-
"ppl": 1.
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
-
"tokens/train_per_sec_per_gpu":
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
-
"grad_norm":
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
-
"loss": 0.
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
-
"ppl": 1.
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
-
"grad_norm":
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
-
"loss": 0.
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
-
"ppl": 1.
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
-
"tokens/train_per_sec_per_gpu":
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
-
"grad_norm": 0.
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
-
"loss": 0.
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
-
"ppl": 1.
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
-
"grad_norm": 1.
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
-
"loss": 0.
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
-
"ppl": 1.
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
-
"tokens/train_per_sec_per_gpu": 39.
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
-
"grad_norm": 0.
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
-
"loss": 0.
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
-
"ppl": 1.
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
-
"grad_norm":
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
-
"loss": 0.
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
-
"ppl": 1.
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
-
"grad_norm": 0.
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
-
"loss": 0.
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
-
"ppl": 1.
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
-
"tokens/train_per_sec_per_gpu":
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
-
"grad_norm": 0.
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
-
"loss": 0.
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
-
"ppl": 1.
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
-
"grad_norm":
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
-
"loss": 0.
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
-
"ppl": 1.
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
@@ -361,125 +361,125 @@
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
-
"grad_norm": 0.
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
-
"loss": 0.
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
-
"ppl": 1.
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
-
"grad_norm":
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
-
"loss": 0.
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
-
"ppl": 1.
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
-
"grad_norm": 1.
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
-
"loss": 0.
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
-
"ppl": 1.
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
-
"grad_norm":
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
-
"loss": 0.
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
-
"ppl": 1.
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
-
"grad_norm": 1.
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
-
"loss": 0.
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
-
"ppl": 1.
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
-
"grad_norm":
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
-
"loss": 0.
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
-
"ppl": 1.
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
-
"tokens/train_per_sec_per_gpu":
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
-
"grad_norm": 0.
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
-
"loss": 0.
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
-
"ppl": 1.
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 0.12890625,
|
| 462 |
-
"grad_norm": 0.
|
| 463 |
"learning_rate": 9.995412811123711e-05,
|
| 464 |
-
"loss": 0.
|
| 465 |
"memory/device_reserved (GiB)": 37.82,
|
| 466 |
"memory/max_active (GiB)": 33.95,
|
| 467 |
"memory/max_allocated (GiB)": 33.95,
|
| 468 |
-
"ppl": 1.
|
| 469 |
"step": 33,
|
| 470 |
"tokens/total": 999792,
|
| 471 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 472 |
"tokens/trainable": 15087
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 0.1328125,
|
| 476 |
-
"grad_norm": 0.
|
| 477 |
"learning_rate": 9.994008881295999e-05,
|
| 478 |
-
"loss": 0.
|
| 479 |
"memory/device_reserved (GiB)": 35.48,
|
| 480 |
"memory/max_active (GiB)": 33.77,
|
| 481 |
"memory/max_allocated (GiB)": 33.77,
|
| 482 |
-
"ppl": 1.
|
| 483 |
"step": 34,
|
| 484 |
"tokens/total": 1029840,
|
| 485 |
"tokens/train_per_sec_per_gpu": 33.81,
|
|
@@ -487,223 +487,223 @@
|
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.13671875,
|
| 490 |
-
"grad_norm": 0.
|
| 491 |
"learning_rate": 9.992417937414932e-05,
|
| 492 |
-
"loss": 0.
|
| 493 |
"memory/device_reserved (GiB)": 35.48,
|
| 494 |
"memory/max_active (GiB)": 33.9,
|
| 495 |
"memory/max_allocated (GiB)": 33.9,
|
| 496 |
-
"ppl": 1.
|
| 497 |
"step": 35,
|
| 498 |
"tokens/total": 1060416,
|
| 499 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 500 |
"tokens/trainable": 16037
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 0.140625,
|
| 504 |
-
"grad_norm": 0.
|
| 505 |
"learning_rate": 9.99064004568618e-05,
|
| 506 |
-
"loss": 0.
|
| 507 |
"memory/device_reserved (GiB)": 35.48,
|
| 508 |
"memory/max_active (GiB)": 33.72,
|
| 509 |
"memory/max_allocated (GiB)": 33.72,
|
| 510 |
-
"ppl": 1.
|
| 511 |
"step": 36,
|
| 512 |
"tokens/total": 1090464,
|
| 513 |
-
"tokens/train_per_sec_per_gpu":
|
| 514 |
"tokens/trainable": 16475
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 0.14453125,
|
| 518 |
-
"grad_norm": 0.
|
| 519 |
"learning_rate": 9.988675280095074e-05,
|
| 520 |
-
"loss": 0.
|
| 521 |
"memory/device_reserved (GiB)": 35.86,
|
| 522 |
"memory/max_active (GiB)": 33.93,
|
| 523 |
"memory/max_allocated (GiB)": 33.93,
|
| 524 |
-
"ppl": 1.
|
| 525 |
"step": 37,
|
| 526 |
"tokens/total": 1120944,
|
| 527 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 528 |
"tokens/trainable": 16919
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 0.1484375,
|
| 532 |
-
"grad_norm":
|
| 533 |
"learning_rate": 9.986523722403528e-05,
|
| 534 |
-
"loss": 0.
|
| 535 |
"memory/device_reserved (GiB)": 35.86,
|
| 536 |
"memory/max_active (GiB)": 33.87,
|
| 537 |
"memory/max_allocated (GiB)": 33.87,
|
| 538 |
-
"ppl": 1.
|
| 539 |
"step": 38,
|
| 540 |
"tokens/total": 1151360,
|
| 541 |
-
"tokens/train_per_sec_per_gpu": 28.
|
| 542 |
"tokens/trainable": 17333
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 0.15234375,
|
| 546 |
-
"grad_norm": 0.
|
| 547 |
"learning_rate": 9.984185462146642e-05,
|
| 548 |
-
"loss": 0.
|
| 549 |
"memory/device_reserved (GiB)": 35.86,
|
| 550 |
"memory/max_active (GiB)": 33.9,
|
| 551 |
"memory/max_allocated (GiB)": 33.9,
|
| 552 |
-
"ppl": 1.
|
| 553 |
"step": 39,
|
| 554 |
"tokens/total": 1181728,
|
| 555 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 556 |
"tokens/trainable": 17806
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 0.15625,
|
| 560 |
-
"grad_norm": 0.
|
| 561 |
"learning_rate": 9.98166059662897e-05,
|
| 562 |
-
"loss": 0.
|
| 563 |
"memory/device_reserved (GiB)": 35.86,
|
| 564 |
"memory/max_active (GiB)": 33.83,
|
| 565 |
"memory/max_allocated (GiB)": 33.83,
|
| 566 |
-
"ppl": 1.
|
| 567 |
"step": 40,
|
| 568 |
"tokens/total": 1212064,
|
| 569 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 570 |
"tokens/trainable": 18290
|
| 571 |
},
|
| 572 |
{
|
| 573 |
"epoch": 0.16015625,
|
| 574 |
-
"grad_norm": 0.
|
| 575 |
"learning_rate": 9.978949230920472e-05,
|
| 576 |
-
"loss": 0.
|
| 577 |
"memory/device_reserved (GiB)": 35.88,
|
| 578 |
"memory/max_active (GiB)": 33.97,
|
| 579 |
"memory/max_allocated (GiB)": 33.97,
|
| 580 |
-
"ppl": 1.
|
| 581 |
"step": 41,
|
| 582 |
"tokens/total": 1242592,
|
| 583 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 584 |
"tokens/trainable": 18747
|
| 585 |
},
|
| 586 |
{
|
| 587 |
"epoch": 0.1640625,
|
| 588 |
-
"grad_norm": 1.
|
| 589 |
"learning_rate": 9.976051477852141e-05,
|
| 590 |
-
"loss": 0.
|
| 591 |
"memory/device_reserved (GiB)": 35.88,
|
| 592 |
"memory/max_active (GiB)": 33.81,
|
| 593 |
"memory/max_allocated (GiB)": 33.81,
|
| 594 |
-
"ppl": 1.
|
| 595 |
"step": 42,
|
| 596 |
"tokens/total": 1272800,
|
| 597 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 598 |
"tokens/trainable": 19172
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"epoch": 0.16796875,
|
| 602 |
-
"grad_norm":
|
| 603 |
"learning_rate": 9.972967458011312e-05,
|
| 604 |
-
"loss": 0.
|
| 605 |
"memory/device_reserved (GiB)": 36.03,
|
| 606 |
"memory/max_active (GiB)": 34.04,
|
| 607 |
"memory/max_allocated (GiB)": 34.04,
|
| 608 |
-
"ppl": 1.
|
| 609 |
"step": 43,
|
| 610 |
"tokens/total": 1303600,
|
| 611 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 612 |
"tokens/trainable": 19622
|
| 613 |
},
|
| 614 |
{
|
| 615 |
"epoch": 0.171875,
|
| 616 |
-
"grad_norm": 0.
|
| 617 |
"learning_rate": 9.96969729973664e-05,
|
| 618 |
-
"loss": 0.
|
| 619 |
"memory/device_reserved (GiB)": 36.03,
|
| 620 |
"memory/max_active (GiB)": 33.81,
|
| 621 |
"memory/max_allocated (GiB)": 33.81,
|
| 622 |
-
"ppl": 1.
|
| 623 |
"step": 44,
|
| 624 |
"tokens/total": 1333936,
|
| 625 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 626 |
"tokens/trainable": 20073
|
| 627 |
},
|
| 628 |
{
|
| 629 |
"epoch": 0.17578125,
|
| 630 |
-
"grad_norm":
|
| 631 |
"learning_rate": 9.966241139112754e-05,
|
| 632 |
-
"loss": 0.
|
| 633 |
"memory/device_reserved (GiB)": 36.03,
|
| 634 |
"memory/max_active (GiB)": 33.9,
|
| 635 |
"memory/max_allocated (GiB)": 33.9,
|
| 636 |
-
"ppl": 1.
|
| 637 |
"step": 45,
|
| 638 |
"tokens/total": 1364288,
|
| 639 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 640 |
"tokens/trainable": 20497
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"epoch": 0.1796875,
|
| 644 |
-
"grad_norm": 0.
|
| 645 |
"learning_rate": 9.96259911996461e-05,
|
| 646 |
-
"loss": 0.
|
| 647 |
"memory/device_reserved (GiB)": 36.03,
|
| 648 |
"memory/max_active (GiB)": 33.82,
|
| 649 |
"memory/max_allocated (GiB)": 33.82,
|
| 650 |
-
"ppl": 1.
|
| 651 |
"step": 46,
|
| 652 |
"tokens/total": 1394368,
|
| 653 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 654 |
"tokens/trainable": 20940
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.18359375,
|
| 658 |
-
"grad_norm": 0.
|
| 659 |
"learning_rate": 9.958771393851491e-05,
|
| 660 |
-
"loss": 0.
|
| 661 |
"memory/device_reserved (GiB)": 36.15,
|
| 662 |
"memory/max_active (GiB)": 33.98,
|
| 663 |
"memory/max_allocated (GiB)": 33.98,
|
| 664 |
-
"ppl": 1.
|
| 665 |
"step": 47,
|
| 666 |
"tokens/total": 1425024,
|
| 667 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 668 |
"tokens/trainable": 21405
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 0.1875,
|
| 672 |
-
"grad_norm": 0.
|
| 673 |
"learning_rate": 9.954758120060702e-05,
|
| 674 |
-
"loss": 0.
|
| 675 |
"memory/device_reserved (GiB)": 36.15,
|
| 676 |
"memory/max_active (GiB)": 33.86,
|
| 677 |
"memory/max_allocated (GiB)": 33.86,
|
| 678 |
-
"ppl": 1.
|
| 679 |
"step": 48,
|
| 680 |
"tokens/total": 1455392,
|
| 681 |
-
"tokens/train_per_sec_per_gpu":
|
| 682 |
"tokens/trainable": 21828
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 0.19140625,
|
| 686 |
-
"grad_norm":
|
| 687 |
"learning_rate": 9.950559465600948e-05,
|
| 688 |
-
"loss": 0.
|
| 689 |
"memory/device_reserved (GiB)": 36.15,
|
| 690 |
"memory/max_active (GiB)": 33.88,
|
| 691 |
"memory/max_allocated (GiB)": 33.88,
|
| 692 |
-
"ppl": 1.
|
| 693 |
"step": 49,
|
| 694 |
"tokens/total": 1485616,
|
| 695 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 696 |
"tokens/trainable": 22241
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"epoch": 0.1953125,
|
| 700 |
-
"grad_norm": 0.
|
| 701 |
"learning_rate": 9.946175605195379e-05,
|
| 702 |
-
"loss": 0.
|
| 703 |
"memory/device_reserved (GiB)": 36.15,
|
| 704 |
"memory/max_active (GiB)": 33.92,
|
| 705 |
"memory/max_allocated (GiB)": 33.92,
|
| 706 |
-
"ppl": 1.
|
| 707 |
"step": 50,
|
| 708 |
"tokens/total": 1515984,
|
| 709 |
"tokens/train_per_sec_per_gpu": 36.23,
|
|
@@ -711,965 +711,965 @@
|
|
| 711 |
},
|
| 712 |
{
|
| 713 |
"epoch": 0.19921875,
|
| 714 |
-
"grad_norm": 0.
|
| 715 |
"learning_rate": 9.941606721274322e-05,
|
| 716 |
-
"loss": 0.
|
| 717 |
"memory/device_reserved (GiB)": 36.15,
|
| 718 |
"memory/max_active (GiB)": 33.89,
|
| 719 |
"memory/max_allocated (GiB)": 33.89,
|
| 720 |
-
"ppl": 1.
|
| 721 |
"step": 51,
|
| 722 |
"tokens/total": 1546224,
|
| 723 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 724 |
"tokens/trainable": 23136
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"epoch": 0.203125,
|
| 728 |
-
"grad_norm": 0.
|
| 729 |
"learning_rate": 9.936853003967685e-05,
|
| 730 |
-
"loss": 0.
|
| 731 |
"memory/device_reserved (GiB)": 36.15,
|
| 732 |
"memory/max_active (GiB)": 33.88,
|
| 733 |
"memory/max_allocated (GiB)": 33.88,
|
| 734 |
-
"ppl": 1.
|
| 735 |
"step": 52,
|
| 736 |
"tokens/total": 1576528,
|
| 737 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 738 |
"tokens/trainable": 23631
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 0.20703125,
|
| 742 |
-
"grad_norm": 0.
|
| 743 |
"learning_rate": 9.93191465109705e-05,
|
| 744 |
-
"loss": 0.
|
| 745 |
"memory/device_reserved (GiB)": 36.15,
|
| 746 |
"memory/max_active (GiB)": 33.83,
|
| 747 |
"memory/max_allocated (GiB)": 33.83,
|
| 748 |
-
"ppl": 1.
|
| 749 |
"step": 53,
|
| 750 |
"tokens/total": 1606768,
|
| 751 |
-
"tokens/train_per_sec_per_gpu":
|
| 752 |
"tokens/trainable": 24096
|
| 753 |
},
|
| 754 |
{
|
| 755 |
"epoch": 0.2109375,
|
| 756 |
-
"grad_norm": 0.
|
| 757 |
"learning_rate": 9.926791868167438e-05,
|
| 758 |
-
"loss": 0.
|
| 759 |
"memory/device_reserved (GiB)": 36.15,
|
| 760 |
"memory/max_active (GiB)": 33.66,
|
| 761 |
"memory/max_allocated (GiB)": 33.66,
|
| 762 |
-
"ppl": 1.
|
| 763 |
"step": 54,
|
| 764 |
"tokens/total": 1636640,
|
| 765 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 766 |
"tokens/trainable": 24569
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"epoch": 0.21484375,
|
| 770 |
-
"grad_norm": 0.
|
| 771 |
"learning_rate": 9.921484868358753e-05,
|
| 772 |
-
"loss": 0.
|
| 773 |
"memory/device_reserved (GiB)": 36.15,
|
| 774 |
"memory/max_active (GiB)": 33.88,
|
| 775 |
"memory/max_allocated (GiB)": 33.88,
|
| 776 |
-
"ppl": 1.
|
| 777 |
"step": 55,
|
| 778 |
"tokens/total": 1667136,
|
| 779 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 780 |
"tokens/trainable": 25067
|
| 781 |
},
|
| 782 |
{
|
| 783 |
"epoch": 0.21875,
|
| 784 |
-
"grad_norm": 0.
|
| 785 |
"learning_rate": 9.915993872516924e-05,
|
| 786 |
-
"loss": 0.
|
| 787 |
"memory/device_reserved (GiB)": 36.15,
|
| 788 |
"memory/max_active (GiB)": 33.85,
|
| 789 |
"memory/max_allocated (GiB)": 33.85,
|
| 790 |
-
"ppl": 1.
|
| 791 |
"step": 56,
|
| 792 |
"tokens/total": 1697472,
|
| 793 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 794 |
"tokens/trainable": 25541
|
| 795 |
},
|
| 796 |
{
|
| 797 |
"epoch": 0.22265625,
|
| 798 |
-
"grad_norm": 0.
|
| 799 |
"learning_rate": 9.9103191091447e-05,
|
| 800 |
-
"loss": 0.
|
| 801 |
"memory/device_reserved (GiB)": 36.15,
|
| 802 |
"memory/max_active (GiB)": 33.9,
|
| 803 |
"memory/max_allocated (GiB)": 33.9,
|
| 804 |
-
"ppl": 1.
|
| 805 |
"step": 57,
|
| 806 |
"tokens/total": 1727680,
|
| 807 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 808 |
"tokens/trainable": 25965
|
| 809 |
},
|
| 810 |
{
|
| 811 |
"epoch": 0.2265625,
|
| 812 |
-
"grad_norm":
|
| 813 |
"learning_rate": 9.904460814392147e-05,
|
| 814 |
-
"loss": 0.
|
| 815 |
"memory/device_reserved (GiB)": 36.15,
|
| 816 |
"memory/max_active (GiB)": 33.87,
|
| 817 |
"memory/max_allocated (GiB)": 33.87,
|
| 818 |
-
"ppl": 1.
|
| 819 |
"step": 58,
|
| 820 |
"tokens/total": 1758192,
|
| 821 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 822 |
"tokens/trainable": 26409
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 0.23046875,
|
| 826 |
-
"grad_norm": 1.
|
| 827 |
"learning_rate": 9.898419232046825e-05,
|
| 828 |
-
"loss": 0.
|
| 829 |
"memory/device_reserved (GiB)": 36.15,
|
| 830 |
"memory/max_active (GiB)": 33.92,
|
| 831 |
"memory/max_allocated (GiB)": 33.92,
|
| 832 |
-
"ppl": 1.
|
| 833 |
"step": 59,
|
| 834 |
"tokens/total": 1788816,
|
| 835 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 836 |
"tokens/trainable": 26883
|
| 837 |
},
|
| 838 |
{
|
| 839 |
"epoch": 0.234375,
|
| 840 |
-
"grad_norm":
|
| 841 |
"learning_rate": 9.892194613523633e-05,
|
| 842 |
-
"loss": 0.
|
| 843 |
"memory/device_reserved (GiB)": 36.15,
|
| 844 |
"memory/max_active (GiB)": 33.86,
|
| 845 |
"memory/max_allocated (GiB)": 33.86,
|
| 846 |
-
"ppl": 1.
|
| 847 |
"step": 60,
|
| 848 |
"tokens/total": 1819056,
|
| 849 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 850 |
"tokens/trainable": 27323
|
| 851 |
},
|
| 852 |
{
|
| 853 |
"epoch": 0.23828125,
|
| 854 |
-
"grad_norm": 0.
|
| 855 |
"learning_rate": 9.885787217854357e-05,
|
| 856 |
-
"loss": 0.
|
| 857 |
"memory/device_reserved (GiB)": 36.16,
|
| 858 |
"memory/max_active (GiB)": 33.92,
|
| 859 |
"memory/max_allocated (GiB)": 33.92,
|
| 860 |
-
"ppl": 1.
|
| 861 |
"step": 61,
|
| 862 |
"tokens/total": 1849664,
|
| 863 |
-
"tokens/train_per_sec_per_gpu": 39.
|
| 864 |
"tokens/trainable": 27830
|
| 865 |
},
|
| 866 |
{
|
| 867 |
"epoch": 0.2421875,
|
| 868 |
-
"grad_norm": 0.
|
| 869 |
"learning_rate": 9.879197311676887e-05,
|
| 870 |
-
"loss": 0.
|
| 871 |
"memory/device_reserved (GiB)": 36.16,
|
| 872 |
"memory/max_active (GiB)": 34.02,
|
| 873 |
"memory/max_allocated (GiB)": 34.02,
|
| 874 |
-
"ppl": 1.
|
| 875 |
"step": 62,
|
| 876 |
"tokens/total": 1880272,
|
| 877 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 878 |
"tokens/trainable": 28281
|
| 879 |
},
|
| 880 |
{
|
| 881 |
"epoch": 0.24609375,
|
| 882 |
-
"grad_norm": 0.
|
| 883 |
"learning_rate": 9.872425169224113e-05,
|
| 884 |
-
"loss": 0.
|
| 885 |
"memory/device_reserved (GiB)": 36.16,
|
| 886 |
"memory/max_active (GiB)": 33.85,
|
| 887 |
"memory/max_allocated (GiB)": 33.85,
|
| 888 |
-
"ppl": 1.
|
| 889 |
"step": 63,
|
| 890 |
"tokens/total": 1910752,
|
| 891 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 892 |
"tokens/trainable": 28742
|
| 893 |
},
|
| 894 |
{
|
| 895 |
"epoch": 0.25,
|
| 896 |
-
"grad_norm": 0.
|
| 897 |
"learning_rate": 9.865471072312528e-05,
|
| 898 |
-
"loss": 0.
|
| 899 |
"memory/device_reserved (GiB)": 36.16,
|
| 900 |
"memory/max_active (GiB)": 33.84,
|
| 901 |
"memory/max_allocated (GiB)": 33.84,
|
| 902 |
-
"ppl": 1.
|
| 903 |
"step": 64,
|
| 904 |
"tokens/total": 1940848,
|
| 905 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 906 |
"tokens/trainable": 29183
|
| 907 |
},
|
| 908 |
{
|
| 909 |
"epoch": 0.25390625,
|
| 910 |
-
"grad_norm": 0.
|
| 911 |
"learning_rate": 9.858335310330492e-05,
|
| 912 |
-
"loss": 0.
|
| 913 |
"memory/device_reserved (GiB)": 36.16,
|
| 914 |
"memory/max_active (GiB)": 33.91,
|
| 915 |
"memory/max_allocated (GiB)": 33.91,
|
| 916 |
-
"ppl": 1.
|
| 917 |
"step": 65,
|
| 918 |
"tokens/total": 1971344,
|
| 919 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 920 |
"tokens/trainable": 29648
|
| 921 |
},
|
| 922 |
{
|
| 923 |
"epoch": 0.2578125,
|
| 924 |
-
"grad_norm": 0.
|
| 925 |
"learning_rate": 9.851018180226185e-05,
|
| 926 |
-
"loss": 0.
|
| 927 |
"memory/device_reserved (GiB)": 35.06,
|
| 928 |
"memory/max_active (GiB)": 33.83,
|
| 929 |
"memory/max_allocated (GiB)": 33.83,
|
| 930 |
-
"ppl": 1.
|
| 931 |
"step": 66,
|
| 932 |
"tokens/total": 2001712,
|
| 933 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 934 |
"tokens/trainable": 30075
|
| 935 |
},
|
| 936 |
{
|
| 937 |
"epoch": 0.26171875,
|
| 938 |
-
"grad_norm": 0.
|
| 939 |
"learning_rate": 9.843519986495259e-05,
|
| 940 |
-
"loss": 0.
|
| 941 |
"memory/device_reserved (GiB)": 35.64,
|
| 942 |
"memory/max_active (GiB)": 33.78,
|
| 943 |
"memory/max_allocated (GiB)": 33.78,
|
| 944 |
-
"ppl": 1.
|
| 945 |
"step": 67,
|
| 946 |
"tokens/total": 2029936,
|
| 947 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 948 |
"tokens/trainable": 30546
|
| 949 |
},
|
| 950 |
{
|
| 951 |
"epoch": 0.265625,
|
| 952 |
-
"grad_norm":
|
| 953 |
"learning_rate": 9.835841041168162e-05,
|
| 954 |
-
"loss": 0.
|
| 955 |
"memory/device_reserved (GiB)": 35.64,
|
| 956 |
"memory/max_active (GiB)": 33.86,
|
| 957 |
"memory/max_allocated (GiB)": 33.86,
|
| 958 |
-
"ppl": 1.
|
| 959 |
"step": 68,
|
| 960 |
"tokens/total": 2060384,
|
| 961 |
-
"tokens/train_per_sec_per_gpu":
|
| 962 |
"tokens/trainable": 31025
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 0.26953125,
|
| 966 |
-
"grad_norm":
|
| 967 |
"learning_rate": 9.82798166379715e-05,
|
| 968 |
-
"loss": 0.
|
| 969 |
"memory/device_reserved (GiB)": 35.64,
|
| 970 |
"memory/max_active (GiB)": 33.85,
|
| 971 |
"memory/max_allocated (GiB)": 33.85,
|
| 972 |
-
"ppl": 1.
|
| 973 |
"step": 69,
|
| 974 |
"tokens/total": 2090688,
|
| 975 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 976 |
"tokens/trainable": 31505
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 0.2734375,
|
| 980 |
-
"grad_norm": 0.
|
| 981 |
"learning_rate": 9.819942181443002e-05,
|
| 982 |
-
"loss": 0.
|
| 983 |
"memory/device_reserved (GiB)": 35.64,
|
| 984 |
"memory/max_active (GiB)": 33.77,
|
| 985 |
"memory/max_allocated (GiB)": 33.77,
|
| 986 |
-
"ppl": 1.
|
| 987 |
"step": 70,
|
| 988 |
"tokens/total": 2120848,
|
| 989 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 990 |
"tokens/trainable": 31956
|
| 991 |
},
|
| 992 |
{
|
| 993 |
"epoch": 0.27734375,
|
| 994 |
-
"grad_norm": 0.
|
| 995 |
"learning_rate": 9.811722928661392e-05,
|
| 996 |
-
"loss": 0.
|
| 997 |
"memory/device_reserved (GiB)": 35.64,
|
| 998 |
"memory/max_active (GiB)": 33.35,
|
| 999 |
"memory/max_allocated (GiB)": 33.35,
|
| 1000 |
-
"ppl": 1.
|
| 1001 |
"step": 71,
|
| 1002 |
"tokens/total": 2149120,
|
| 1003 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1004 |
"tokens/trainable": 32374
|
| 1005 |
},
|
| 1006 |
{
|
| 1007 |
"epoch": 0.28125,
|
| 1008 |
-
"grad_norm": 0.
|
| 1009 |
"learning_rate": 9.803324247488975e-05,
|
| 1010 |
-
"loss": 0.
|
| 1011 |
"memory/device_reserved (GiB)": 35.64,
|
| 1012 |
"memory/max_active (GiB)": 33.81,
|
| 1013 |
"memory/max_allocated (GiB)": 33.81,
|
| 1014 |
-
"ppl": 1.
|
| 1015 |
"step": 72,
|
| 1016 |
"tokens/total": 2179472,
|
| 1017 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1018 |
"tokens/trainable": 32833
|
| 1019 |
},
|
| 1020 |
{
|
| 1021 |
"epoch": 0.28515625,
|
| 1022 |
-
"grad_norm": 0.
|
| 1023 |
"learning_rate": 9.794746487429161e-05,
|
| 1024 |
-
"loss": 0.
|
| 1025 |
"memory/device_reserved (GiB)": 35.96,
|
| 1026 |
"memory/max_active (GiB)": 33.92,
|
| 1027 |
"memory/max_allocated (GiB)": 33.92,
|
| 1028 |
-
"ppl": 1.
|
| 1029 |
"step": 73,
|
| 1030 |
"tokens/total": 2209984,
|
| 1031 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1032 |
"tokens/trainable": 33304
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
"epoch": 0.2890625,
|
| 1036 |
-
"grad_norm":
|
| 1037 |
"learning_rate": 9.785990005437554e-05,
|
| 1038 |
-
"loss": 0.
|
| 1039 |
"memory/device_reserved (GiB)": 35.96,
|
| 1040 |
"memory/max_active (GiB)": 33.83,
|
| 1041 |
"memory/max_allocated (GiB)": 33.83,
|
| 1042 |
-
"ppl": 1.
|
| 1043 |
"step": 74,
|
| 1044 |
"tokens/total": 2240512,
|
| 1045 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1046 |
"tokens/trainable": 33771
|
| 1047 |
},
|
| 1048 |
{
|
| 1049 |
"epoch": 0.29296875,
|
| 1050 |
-
"grad_norm": 0.
|
| 1051 |
"learning_rate": 9.777055165907117e-05,
|
| 1052 |
-
"loss": 0.
|
| 1053 |
"memory/device_reserved (GiB)": 35.96,
|
| 1054 |
"memory/max_active (GiB)": 33.74,
|
| 1055 |
"memory/max_allocated (GiB)": 33.74,
|
| 1056 |
-
"ppl": 1.
|
| 1057 |
"step": 75,
|
| 1058 |
"tokens/total": 2270608,
|
| 1059 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1060 |
"tokens/trainable": 34186
|
| 1061 |
},
|
| 1062 |
{
|
| 1063 |
"epoch": 0.296875,
|
| 1064 |
-
"grad_norm": 0.
|
| 1065 |
"learning_rate": 9.767942340652993e-05,
|
| 1066 |
-
"loss": 0.
|
| 1067 |
"memory/device_reserved (GiB)": 35.96,
|
| 1068 |
"memory/max_active (GiB)": 33.81,
|
| 1069 |
"memory/max_allocated (GiB)": 33.81,
|
| 1070 |
-
"ppl": 1.
|
| 1071 |
"step": 76,
|
| 1072 |
"tokens/total": 2300864,
|
| 1073 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1074 |
"tokens/trainable": 34667
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 0.30078125,
|
| 1078 |
-
"grad_norm":
|
| 1079 |
"learning_rate": 9.758651908897035e-05,
|
| 1080 |
-
"loss": 0.
|
| 1081 |
"memory/device_reserved (GiB)": 35.96,
|
| 1082 |
"memory/max_active (GiB)": 33.76,
|
| 1083 |
"memory/max_allocated (GiB)": 33.76,
|
| 1084 |
-
"ppl": 1.
|
| 1085 |
"step": 77,
|
| 1086 |
"tokens/total": 2330960,
|
| 1087 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1088 |
"tokens/trainable": 35078
|
| 1089 |
},
|
| 1090 |
{
|
| 1091 |
"epoch": 0.3046875,
|
| 1092 |
-
"grad_norm":
|
| 1093 |
"learning_rate": 9.749184257252033e-05,
|
| 1094 |
-
"loss": 0.
|
| 1095 |
"memory/device_reserved (GiB)": 35.98,
|
| 1096 |
"memory/max_active (GiB)": 33.99,
|
| 1097 |
"memory/max_allocated (GiB)": 33.99,
|
| 1098 |
-
"ppl": 1.
|
| 1099 |
"step": 78,
|
| 1100 |
"tokens/total": 2361584,
|
| 1101 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1102 |
"tokens/trainable": 35550
|
| 1103 |
},
|
| 1104 |
{
|
| 1105 |
"epoch": 0.30859375,
|
| 1106 |
-
"grad_norm":
|
| 1107 |
"learning_rate": 9.739539779705614e-05,
|
| 1108 |
-
"loss": 0.
|
| 1109 |
"memory/device_reserved (GiB)": 35.98,
|
| 1110 |
"memory/max_active (GiB)": 33.82,
|
| 1111 |
"memory/max_allocated (GiB)": 33.82,
|
| 1112 |
-
"ppl": 1.
|
| 1113 |
"step": 79,
|
| 1114 |
"tokens/total": 2391936,
|
| 1115 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 1116 |
"tokens/trainable": 35977
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 0.3125,
|
| 1120 |
-
"grad_norm":
|
| 1121 |
"learning_rate": 9.729718877603861e-05,
|
| 1122 |
-
"loss": 0.
|
| 1123 |
"memory/device_reserved (GiB)": 35.98,
|
| 1124 |
"memory/max_active (GiB)": 33.9,
|
| 1125 |
"memory/max_allocated (GiB)": 33.9,
|
| 1126 |
-
"ppl": 1.
|
| 1127 |
"step": 80,
|
| 1128 |
"tokens/total": 2422432,
|
| 1129 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1130 |
"tokens/trainable": 36462
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 0.31640625,
|
| 1134 |
-
"grad_norm": 0.
|
| 1135 |
"learning_rate": 9.719721959634592e-05,
|
| 1136 |
-
"loss": 0.
|
| 1137 |
"memory/device_reserved (GiB)": 35.98,
|
| 1138 |
"memory/max_active (GiB)": 33.89,
|
| 1139 |
"memory/max_allocated (GiB)": 33.89,
|
| 1140 |
-
"ppl": 1.
|
| 1141 |
"step": 81,
|
| 1142 |
"tokens/total": 2452752,
|
| 1143 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1144 |
"tokens/trainable": 36919
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 0.3203125,
|
| 1148 |
-
"grad_norm": 0.
|
| 1149 |
"learning_rate": 9.709549441810375e-05,
|
| 1150 |
-
"loss": 0.
|
| 1151 |
"memory/device_reserved (GiB)": 35.98,
|
| 1152 |
"memory/max_active (GiB)": 33.44,
|
| 1153 |
"memory/max_allocated (GiB)": 33.44,
|
| 1154 |
-
"ppl": 1.
|
| 1155 |
"step": 82,
|
| 1156 |
"tokens/total": 2481216,
|
| 1157 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1158 |
"tokens/trainable": 37379
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 0.32421875,
|
| 1162 |
-
"grad_norm": 0.
|
| 1163 |
"learning_rate": 9.699201747451195e-05,
|
| 1164 |
-
"loss": 0.
|
| 1165 |
"memory/device_reserved (GiB)": 35.98,
|
| 1166 |
"memory/max_active (GiB)": 33.84,
|
| 1167 |
"memory/max_allocated (GiB)": 33.84,
|
| 1168 |
-
"ppl": 1.
|
| 1169 |
"step": 83,
|
| 1170 |
"tokens/total": 2511488,
|
| 1171 |
-
"tokens/train_per_sec_per_gpu":
|
| 1172 |
"tokens/trainable": 37832
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 0.328125,
|
| 1176 |
-
"grad_norm": 0.
|
| 1177 |
"learning_rate": 9.688679307166854e-05,
|
| 1178 |
-
"loss": 0.
|
| 1179 |
"memory/device_reserved (GiB)": 35.98,
|
| 1180 |
"memory/max_active (GiB)": 33.86,
|
| 1181 |
"memory/max_allocated (GiB)": 33.86,
|
| 1182 |
-
"ppl": 1.
|
| 1183 |
"step": 84,
|
| 1184 |
"tokens/total": 2541984,
|
| 1185 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1186 |
"tokens/trainable": 38303
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 0.33203125,
|
| 1190 |
-
"grad_norm": 0.
|
| 1191 |
"learning_rate": 9.677982558839042e-05,
|
| 1192 |
-
"loss": 0.
|
| 1193 |
"memory/device_reserved (GiB)": 35.98,
|
| 1194 |
"memory/max_active (GiB)": 33.69,
|
| 1195 |
"memory/max_allocated (GiB)": 33.69,
|
| 1196 |
-
"ppl": 1.
|
| 1197 |
"step": 85,
|
| 1198 |
"tokens/total": 2572224,
|
| 1199 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1200 |
"tokens/trainable": 38758
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 0.3359375,
|
| 1204 |
-
"grad_norm":
|
| 1205 |
"learning_rate": 9.66711194760312e-05,
|
| 1206 |
-
"loss": 0.
|
| 1207 |
"memory/device_reserved (GiB)": 35.98,
|
| 1208 |
"memory/max_active (GiB)": 33.86,
|
| 1209 |
"memory/max_allocated (GiB)": 33.86,
|
| 1210 |
-
"ppl": 1.
|
| 1211 |
"step": 86,
|
| 1212 |
"tokens/total": 2602704,
|
| 1213 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1214 |
"tokens/trainable": 39179
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 0.33984375,
|
| 1218 |
-
"grad_norm": 0.
|
| 1219 |
"learning_rate": 9.656067925829593e-05,
|
| 1220 |
-
"loss": 0.
|
| 1221 |
"memory/device_reserved (GiB)": 35.98,
|
| 1222 |
"memory/max_active (GiB)": 33.88,
|
| 1223 |
"memory/max_allocated (GiB)": 33.88,
|
| 1224 |
-
"ppl": 1.
|
| 1225 |
"step": 87,
|
| 1226 |
"tokens/total": 2633072,
|
| 1227 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1228 |
"tokens/trainable": 39679
|
| 1229 |
},
|
| 1230 |
{
|
| 1231 |
"epoch": 0.34375,
|
| 1232 |
-
"grad_norm":
|
| 1233 |
"learning_rate": 9.644850953105288e-05,
|
| 1234 |
-
"loss": 0.
|
| 1235 |
"memory/device_reserved (GiB)": 35.98,
|
| 1236 |
"memory/max_active (GiB)": 33.73,
|
| 1237 |
"memory/max_allocated (GiB)": 33.73,
|
| 1238 |
-
"ppl": 1.
|
| 1239 |
"step": 88,
|
| 1240 |
"tokens/total": 2663232,
|
| 1241 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1242 |
"tokens/trainable": 40118
|
| 1243 |
},
|
| 1244 |
{
|
| 1245 |
"epoch": 0.34765625,
|
| 1246 |
-
"grad_norm": 0.
|
| 1247 |
"learning_rate": 9.633461496214225e-05,
|
| 1248 |
-
"loss": 0.
|
| 1249 |
"memory/device_reserved (GiB)": 35.98,
|
| 1250 |
"memory/max_active (GiB)": 33.87,
|
| 1251 |
"memory/max_allocated (GiB)": 33.87,
|
| 1252 |
-
"ppl": 1.
|
| 1253 |
"step": 89,
|
| 1254 |
"tokens/total": 2693696,
|
| 1255 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1256 |
"tokens/trainable": 40571
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
"epoch": 0.3515625,
|
| 1260 |
-
"grad_norm": 0.
|
| 1261 |
"learning_rate": 9.621900029118195e-05,
|
| 1262 |
-
"loss": 0.
|
| 1263 |
"memory/device_reserved (GiB)": 35.98,
|
| 1264 |
"memory/max_active (GiB)": 33.82,
|
| 1265 |
"memory/max_allocated (GiB)": 33.82,
|
| 1266 |
-
"ppl": 1.
|
| 1267 |
"step": 90,
|
| 1268 |
"tokens/total": 2723984,
|
| 1269 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1270 |
"tokens/trainable": 40997
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
"epoch": 0.35546875,
|
| 1274 |
-
"grad_norm": 0.
|
| 1275 |
"learning_rate": 9.610167032937036e-05,
|
| 1276 |
-
"loss": 0.
|
| 1277 |
"memory/device_reserved (GiB)": 35.98,
|
| 1278 |
"memory/max_active (GiB)": 33.82,
|
| 1279 |
"memory/max_allocated (GiB)": 33.82,
|
| 1280 |
-
"ppl": 1.
|
| 1281 |
"step": 91,
|
| 1282 |
"tokens/total": 2754240,
|
| 1283 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1284 |
"tokens/trainable": 41462
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 0.359375,
|
| 1288 |
-
"grad_norm": 0.
|
| 1289 |
"learning_rate": 9.598262995928611e-05,
|
| 1290 |
-
"loss": 0.
|
| 1291 |
"memory/device_reserved (GiB)": 35.98,
|
| 1292 |
"memory/max_active (GiB)": 33.89,
|
| 1293 |
"memory/max_allocated (GiB)": 33.89,
|
| 1294 |
-
"ppl": 1.
|
| 1295 |
"step": 92,
|
| 1296 |
"tokens/total": 2784672,
|
| 1297 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1298 |
"tokens/trainable": 41927
|
| 1299 |
},
|
| 1300 |
{
|
| 1301 |
"epoch": 0.36328125,
|
| 1302 |
-
"grad_norm":
|
| 1303 |
"learning_rate": 9.586188413468492e-05,
|
| 1304 |
-
"loss": 0.
|
| 1305 |
"memory/device_reserved (GiB)": 35.98,
|
| 1306 |
"memory/max_active (GiB)": 33.83,
|
| 1307 |
"memory/max_allocated (GiB)": 33.83,
|
| 1308 |
-
"ppl": 1.
|
| 1309 |
"step": 93,
|
| 1310 |
"tokens/total": 2815120,
|
| 1311 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1312 |
"tokens/trainable": 42397
|
| 1313 |
},
|
| 1314 |
{
|
| 1315 |
"epoch": 0.3671875,
|
| 1316 |
-
"grad_norm": 0.
|
| 1317 |
"learning_rate": 9.57394378802934e-05,
|
| 1318 |
-
"loss": 0.
|
| 1319 |
"memory/device_reserved (GiB)": 35.98,
|
| 1320 |
"memory/max_active (GiB)": 33.97,
|
| 1321 |
"memory/max_allocated (GiB)": 33.97,
|
| 1322 |
"ppl": 1.00077,
|
| 1323 |
"step": 94,
|
| 1324 |
"tokens/total": 2845600,
|
| 1325 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1326 |
"tokens/trainable": 42883
|
| 1327 |
},
|
| 1328 |
{
|
| 1329 |
"epoch": 0.37109375,
|
| 1330 |
-
"grad_norm": 0.
|
| 1331 |
"learning_rate": 9.56152962916e-05,
|
| 1332 |
-
"loss": 0.
|
| 1333 |
"memory/device_reserved (GiB)": 35.98,
|
| 1334 |
"memory/max_active (GiB)": 33.87,
|
| 1335 |
"memory/max_allocated (GiB)": 33.87,
|
| 1336 |
-
"ppl": 1.
|
| 1337 |
"step": 95,
|
| 1338 |
"tokens/total": 2875952,
|
| 1339 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1340 |
"tokens/trainable": 43381
|
| 1341 |
},
|
| 1342 |
{
|
| 1343 |
"epoch": 0.375,
|
| 1344 |
-
"grad_norm": 0.
|
| 1345 |
"learning_rate": 9.548946453464296e-05,
|
| 1346 |
-
"loss": 0.
|
| 1347 |
"memory/device_reserved (GiB)": 35.98,
|
| 1348 |
"memory/max_active (GiB)": 33.9,
|
| 1349 |
"memory/max_allocated (GiB)": 33.9,
|
| 1350 |
-
"ppl": 1.
|
| 1351 |
"step": 96,
|
| 1352 |
"tokens/total": 2906288,
|
| 1353 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1354 |
"tokens/trainable": 43824
|
| 1355 |
},
|
| 1356 |
{
|
| 1357 |
"epoch": 0.37890625,
|
| 1358 |
-
"grad_norm": 0.
|
| 1359 |
"learning_rate": 9.53619478457953e-05,
|
| 1360 |
-
"loss": 0.
|
| 1361 |
"memory/device_reserved (GiB)": 35.98,
|
| 1362 |
"memory/max_active (GiB)": 33.89,
|
| 1363 |
"memory/max_allocated (GiB)": 33.89,
|
| 1364 |
-
"ppl": 1.
|
| 1365 |
"step": 97,
|
| 1366 |
"tokens/total": 2936752,
|
| 1367 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1368 |
"tokens/trainable": 44255
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
"epoch": 0.3828125,
|
| 1372 |
-
"grad_norm": 0.
|
| 1373 |
"learning_rate": 9.523275153154695e-05,
|
| 1374 |
-
"loss": 0.
|
| 1375 |
"memory/device_reserved (GiB)": 35.19,
|
| 1376 |
"memory/max_active (GiB)": 33.92,
|
| 1377 |
"memory/max_allocated (GiB)": 33.92,
|
| 1378 |
-
"ppl": 1.
|
| 1379 |
"step": 98,
|
| 1380 |
"tokens/total": 2967072,
|
| 1381 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1382 |
"tokens/trainable": 44739
|
| 1383 |
},
|
| 1384 |
{
|
| 1385 |
"epoch": 0.38671875,
|
| 1386 |
-
"grad_norm": 0.
|
| 1387 |
"learning_rate": 9.51018809682839e-05,
|
| 1388 |
-
"loss": 0.
|
| 1389 |
"memory/device_reserved (GiB)": 35.76,
|
| 1390 |
"memory/max_active (GiB)": 34.03,
|
| 1391 |
"memory/max_allocated (GiB)": 34.03,
|
| 1392 |
-
"ppl": 1.
|
| 1393 |
"step": 99,
|
| 1394 |
"tokens/total": 2997664,
|
| 1395 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1396 |
"tokens/trainable": 45202
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
"epoch": 0.390625,
|
| 1400 |
-
"grad_norm": 0.
|
| 1401 |
"learning_rate": 9.49693416020645e-05,
|
| 1402 |
-
"loss": 0.
|
| 1403 |
"memory/device_reserved (GiB)": 35.99,
|
| 1404 |
"memory/max_active (GiB)": 33.88,
|
| 1405 |
"memory/max_allocated (GiB)": 33.88,
|
| 1406 |
-
"ppl": 1.
|
| 1407 |
"step": 100,
|
| 1408 |
"tokens/total": 3028032,
|
| 1409 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1410 |
"tokens/trainable": 45646
|
| 1411 |
},
|
| 1412 |
{
|
| 1413 |
"epoch": 0.39453125,
|
| 1414 |
-
"grad_norm": 0.
|
| 1415 |
"learning_rate": 9.483513894839276e-05,
|
| 1416 |
-
"loss": 0.
|
| 1417 |
"memory/device_reserved (GiB)": 35.99,
|
| 1418 |
"memory/max_active (GiB)": 33.82,
|
| 1419 |
"memory/max_allocated (GiB)": 33.82,
|
| 1420 |
-
"ppl": 1.
|
| 1421 |
"step": 101,
|
| 1422 |
"tokens/total": 3058272,
|
| 1423 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1424 |
"tokens/trainable": 46089
|
| 1425 |
},
|
| 1426 |
{
|
| 1427 |
"epoch": 0.3984375,
|
| 1428 |
-
"grad_norm":
|
| 1429 |
"learning_rate": 9.469927859198888e-05,
|
| 1430 |
-
"loss": 0.
|
| 1431 |
"memory/device_reserved (GiB)": 35.99,
|
| 1432 |
"memory/max_active (GiB)": 33.89,
|
| 1433 |
"memory/max_allocated (GiB)": 33.89,
|
| 1434 |
-
"ppl": 1.
|
| 1435 |
"step": 102,
|
| 1436 |
"tokens/total": 3088848,
|
| 1437 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1438 |
"tokens/trainable": 46547
|
| 1439 |
},
|
| 1440 |
{
|
| 1441 |
"epoch": 0.40234375,
|
| 1442 |
-
"grad_norm":
|
| 1443 |
"learning_rate": 9.456176618655689e-05,
|
| 1444 |
-
"loss": 0.
|
| 1445 |
"memory/device_reserved (GiB)": 35.99,
|
| 1446 |
"memory/max_active (GiB)": 33.91,
|
| 1447 |
"memory/max_allocated (GiB)": 33.91,
|
| 1448 |
-
"ppl": 1.
|
| 1449 |
"step": 103,
|
| 1450 |
"tokens/total": 3119424,
|
| 1451 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1452 |
"tokens/trainable": 47014
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
"epoch": 0.40625,
|
| 1456 |
-
"grad_norm": 0.
|
| 1457 |
"learning_rate": 9.442260745454927e-05,
|
| 1458 |
-
"loss": 0.
|
| 1459 |
"memory/device_reserved (GiB)": 36.0,
|
| 1460 |
"memory/max_active (GiB)": 33.81,
|
| 1461 |
"memory/max_allocated (GiB)": 33.81,
|
| 1462 |
-
"ppl": 1.
|
| 1463 |
"step": 104,
|
| 1464 |
"tokens/total": 3149696,
|
| 1465 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1466 |
"tokens/trainable": 47503
|
| 1467 |
},
|
| 1468 |
{
|
| 1469 |
"epoch": 0.41015625,
|
| 1470 |
-
"grad_norm": 0.
|
| 1471 |
"learning_rate": 9.428180818692884e-05,
|
| 1472 |
-
"loss": 0.
|
| 1473 |
"memory/device_reserved (GiB)": 36.0,
|
| 1474 |
"memory/max_active (GiB)": 33.83,
|
| 1475 |
"memory/max_allocated (GiB)": 33.83,
|
| 1476 |
-
"ppl": 1.
|
| 1477 |
"step": 105,
|
| 1478 |
"tokens/total": 3180064,
|
| 1479 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1480 |
"tokens/trainable": 47996
|
| 1481 |
},
|
| 1482 |
{
|
| 1483 |
"epoch": 0.4140625,
|
| 1484 |
-
"grad_norm":
|
| 1485 |
"learning_rate": 9.413937424292791e-05,
|
| 1486 |
-
"loss": 0.
|
| 1487 |
"memory/device_reserved (GiB)": 36.0,
|
| 1488 |
"memory/max_active (GiB)": 33.39,
|
| 1489 |
"memory/max_allocated (GiB)": 33.39,
|
| 1490 |
-
"ppl": 1.
|
| 1491 |
"step": 106,
|
| 1492 |
"tokens/total": 3208320,
|
| 1493 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1494 |
"tokens/trainable": 48447
|
| 1495 |
},
|
| 1496 |
{
|
| 1497 |
"epoch": 0.41796875,
|
| 1498 |
-
"grad_norm": 0.
|
| 1499 |
"learning_rate": 9.399531154980424e-05,
|
| 1500 |
-
"loss": 0.
|
| 1501 |
"memory/device_reserved (GiB)": 36.0,
|
| 1502 |
"memory/max_active (GiB)": 33.74,
|
| 1503 |
"memory/max_allocated (GiB)": 33.74,
|
| 1504 |
-
"ppl": 1.
|
| 1505 |
"step": 107,
|
| 1506 |
"tokens/total": 3238416,
|
| 1507 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1508 |
"tokens/trainable": 48889
|
| 1509 |
},
|
| 1510 |
{
|
| 1511 |
"epoch": 0.421875,
|
| 1512 |
-
"grad_norm": 0.
|
| 1513 |
"learning_rate": 9.384962610259455e-05,
|
| 1514 |
-
"loss": 0.
|
| 1515 |
"memory/device_reserved (GiB)": 36.0,
|
| 1516 |
"memory/max_active (GiB)": 33.82,
|
| 1517 |
"memory/max_allocated (GiB)": 33.82,
|
| 1518 |
-
"ppl": 1.
|
| 1519 |
"step": 108,
|
| 1520 |
"tokens/total": 3268784,
|
| 1521 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1522 |
"tokens/trainable": 49360
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
"epoch": 0.42578125,
|
| 1526 |
-
"grad_norm": 0.
|
| 1527 |
"learning_rate": 9.370232396386494e-05,
|
| 1528 |
-
"loss": 0.
|
| 1529 |
"memory/device_reserved (GiB)": 36.0,
|
| 1530 |
"memory/max_active (GiB)": 33.79,
|
| 1531 |
"memory/max_allocated (GiB)": 33.79,
|
| 1532 |
-
"ppl": 1.
|
| 1533 |
"step": 109,
|
| 1534 |
"tokens/total": 3298912,
|
| 1535 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1536 |
"tokens/trainable": 49827
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
"epoch": 0.4296875,
|
| 1540 |
-
"grad_norm":
|
| 1541 |
"learning_rate": 9.355341126345868e-05,
|
| 1542 |
-
"loss": 0.
|
| 1543 |
"memory/device_reserved (GiB)": 36.0,
|
| 1544 |
"memory/max_active (GiB)": 33.99,
|
| 1545 |
"memory/max_allocated (GiB)": 33.99,
|
| 1546 |
-
"ppl": 1.
|
| 1547 |
"step": 110,
|
| 1548 |
"tokens/total": 3329232,
|
| 1549 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1550 |
"tokens/trainable": 50267
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 0.43359375,
|
| 1554 |
-
"grad_norm": 1.
|
| 1555 |
"learning_rate": 9.340289419824107e-05,
|
| 1556 |
-
"loss": 0.
|
| 1557 |
"memory/device_reserved (GiB)": 36.0,
|
| 1558 |
"memory/max_active (GiB)": 33.8,
|
| 1559 |
"memory/max_allocated (GiB)": 33.8,
|
| 1560 |
-
"ppl": 1.
|
| 1561 |
"step": 111,
|
| 1562 |
"tokens/total": 3359440,
|
| 1563 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1564 |
"tokens/trainable": 50711
|
| 1565 |
},
|
| 1566 |
{
|
| 1567 |
"epoch": 0.4375,
|
| 1568 |
-
"grad_norm":
|
| 1569 |
"learning_rate": 9.325077903184159e-05,
|
| 1570 |
-
"loss": 0.
|
| 1571 |
"memory/device_reserved (GiB)": 36.0,
|
| 1572 |
"memory/max_active (GiB)": 33.74,
|
| 1573 |
"memory/max_allocated (GiB)": 33.74,
|
| 1574 |
-
"ppl": 1.
|
| 1575 |
"step": 112,
|
| 1576 |
"tokens/total": 3389472,
|
| 1577 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1578 |
"tokens/trainable": 51157
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 0.44140625,
|
| 1582 |
-
"grad_norm": 0.
|
| 1583 |
"learning_rate": 9.30970720943932e-05,
|
| 1584 |
-
"loss": 0.
|
| 1585 |
"memory/device_reserved (GiB)": 36.0,
|
| 1586 |
"memory/max_active (GiB)": 33.9,
|
| 1587 |
"memory/max_allocated (GiB)": 33.9,
|
| 1588 |
-
"ppl": 1.
|
| 1589 |
"step": 113,
|
| 1590 |
"tokens/total": 3419920,
|
| 1591 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1592 |
"tokens/trainable": 51613
|
| 1593 |
},
|
| 1594 |
{
|
| 1595 |
"epoch": 0.4453125,
|
| 1596 |
-
"grad_norm":
|
| 1597 |
"learning_rate": 9.2941779782269e-05,
|
| 1598 |
-
"loss": 0.
|
| 1599 |
"memory/device_reserved (GiB)": 36.0,
|
| 1600 |
"memory/max_active (GiB)": 33.78,
|
| 1601 |
"memory/max_allocated (GiB)": 33.78,
|
| 1602 |
-
"ppl": 1.
|
| 1603 |
"step": 114,
|
| 1604 |
"tokens/total": 3450176,
|
| 1605 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 1606 |
"tokens/trainable": 52017
|
| 1607 |
},
|
| 1608 |
{
|
| 1609 |
"epoch": 0.44921875,
|
| 1610 |
-
"grad_norm":
|
| 1611 |
"learning_rate": 9.278490855781596e-05,
|
| 1612 |
-
"loss": 0.
|
| 1613 |
"memory/device_reserved (GiB)": 36.0,
|
| 1614 |
"memory/max_active (GiB)": 33.87,
|
| 1615 |
"memory/max_allocated (GiB)": 33.87,
|
| 1616 |
-
"ppl": 1.
|
| 1617 |
"step": 115,
|
| 1618 |
"tokens/total": 3480544,
|
| 1619 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1620 |
"tokens/trainable": 52506
|
| 1621 |
},
|
| 1622 |
{
|
| 1623 |
"epoch": 0.453125,
|
| 1624 |
-
"grad_norm":
|
| 1625 |
"learning_rate": 9.262646494908604e-05,
|
| 1626 |
-
"loss": 0.
|
| 1627 |
"memory/device_reserved (GiB)": 36.0,
|
| 1628 |
"memory/max_active (GiB)": 33.81,
|
| 1629 |
"memory/max_allocated (GiB)": 33.81,
|
| 1630 |
-
"ppl": 1.
|
| 1631 |
"step": 116,
|
| 1632 |
"tokens/total": 3510848,
|
| 1633 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1634 |
"tokens/trainable": 53008
|
| 1635 |
},
|
| 1636 |
{
|
| 1637 |
"epoch": 0.45703125,
|
| 1638 |
-
"grad_norm":
|
| 1639 |
"learning_rate": 9.246645554956457e-05,
|
| 1640 |
-
"loss": 0.
|
| 1641 |
"memory/device_reserved (GiB)": 36.0,
|
| 1642 |
"memory/max_active (GiB)": 33.96,
|
| 1643 |
"memory/max_allocated (GiB)": 33.96,
|
| 1644 |
-
"ppl": 1.
|
| 1645 |
"step": 117,
|
| 1646 |
"tokens/total": 3541296,
|
| 1647 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1648 |
"tokens/trainable": 53467
|
| 1649 |
},
|
| 1650 |
{
|
| 1651 |
"epoch": 0.4609375,
|
| 1652 |
-
"grad_norm": 0.
|
| 1653 |
"learning_rate": 9.230488701789578e-05,
|
| 1654 |
-
"loss": 0.
|
| 1655 |
"memory/device_reserved (GiB)": 36.0,
|
| 1656 |
"memory/max_active (GiB)": 33.97,
|
| 1657 |
"memory/max_allocated (GiB)": 33.97,
|
| 1658 |
-
"ppl": 1.
|
| 1659 |
"step": 118,
|
| 1660 |
"tokens/total": 3571936,
|
| 1661 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1662 |
"tokens/trainable": 53923
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
"epoch": 0.46484375,
|
| 1666 |
-
"grad_norm":
|
| 1667 |
"learning_rate": 9.214176607760577e-05,
|
| 1668 |
-
"loss": 0.
|
| 1669 |
"memory/device_reserved (GiB)": 36.0,
|
| 1670 |
"memory/max_active (GiB)": 33.79,
|
| 1671 |
"memory/max_allocated (GiB)": 33.79,
|
| 1672 |
-
"ppl": 1.
|
| 1673 |
"step": 119,
|
| 1674 |
"tokens/total": 3602000,
|
| 1675 |
"tokens/train_per_sec_per_gpu": 35.58,
|
|
@@ -1677,125 +1677,125 @@
|
|
| 1677 |
},
|
| 1678 |
{
|
| 1679 |
"epoch": 0.46875,
|
| 1680 |
-
"grad_norm": 0.
|
| 1681 |
"learning_rate": 9.197709951682268e-05,
|
| 1682 |
-
"loss": 0.
|
| 1683 |
"memory/device_reserved (GiB)": 36.0,
|
| 1684 |
"memory/max_active (GiB)": 33.81,
|
| 1685 |
"memory/max_allocated (GiB)": 33.81,
|
| 1686 |
-
"ppl": 1.
|
| 1687 |
"step": 120,
|
| 1688 |
"tokens/total": 3632288,
|
| 1689 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1690 |
"tokens/trainable": 54839
|
| 1691 |
},
|
| 1692 |
{
|
| 1693 |
"epoch": 0.47265625,
|
| 1694 |
-
"grad_norm": 0.
|
| 1695 |
"learning_rate": 9.181089418799428e-05,
|
| 1696 |
-
"loss": 0.
|
| 1697 |
"memory/device_reserved (GiB)": 36.0,
|
| 1698 |
"memory/max_active (GiB)": 33.82,
|
| 1699 |
"memory/max_allocated (GiB)": 33.82,
|
| 1700 |
-
"ppl": 1.
|
| 1701 |
"step": 121,
|
| 1702 |
"tokens/total": 3662608,
|
| 1703 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1704 |
"tokens/trainable": 55267
|
| 1705 |
},
|
| 1706 |
{
|
| 1707 |
"epoch": 0.4765625,
|
| 1708 |
-
"grad_norm": 0.
|
| 1709 |
"learning_rate": 9.164315700760271e-05,
|
| 1710 |
-
"loss": 0.
|
| 1711 |
"memory/device_reserved (GiB)": 36.0,
|
| 1712 |
"memory/max_active (GiB)": 33.77,
|
| 1713 |
"memory/max_allocated (GiB)": 33.77,
|
| 1714 |
-
"ppl": 1.
|
| 1715 |
"step": 122,
|
| 1716 |
"tokens/total": 3692864,
|
| 1717 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1718 |
"tokens/trainable": 55700
|
| 1719 |
},
|
| 1720 |
{
|
| 1721 |
"epoch": 0.48046875,
|
| 1722 |
-
"grad_norm": 0.
|
| 1723 |
"learning_rate": 9.147389495587671e-05,
|
| 1724 |
-
"loss": 0.
|
| 1725 |
"memory/device_reserved (GiB)": 36.0,
|
| 1726 |
"memory/max_active (GiB)": 33.73,
|
| 1727 |
"memory/max_allocated (GiB)": 33.73,
|
| 1728 |
-
"ppl": 1.
|
| 1729 |
"step": 123,
|
| 1730 |
"tokens/total": 3722864,
|
| 1731 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1732 |
"tokens/trainable": 56144
|
| 1733 |
},
|
| 1734 |
{
|
| 1735 |
"epoch": 0.484375,
|
| 1736 |
-
"grad_norm": 0.
|
| 1737 |
"learning_rate": 9.130311507650116e-05,
|
| 1738 |
-
"loss": 0.
|
| 1739 |
"memory/device_reserved (GiB)": 36.0,
|
| 1740 |
"memory/max_active (GiB)": 33.77,
|
| 1741 |
"memory/max_allocated (GiB)": 33.77,
|
| 1742 |
-
"ppl": 1.
|
| 1743 |
"step": 124,
|
| 1744 |
"tokens/total": 3753056,
|
| 1745 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1746 |
"tokens/trainable": 56589
|
| 1747 |
},
|
| 1748 |
{
|
| 1749 |
"epoch": 0.48828125,
|
| 1750 |
-
"grad_norm": 0.
|
| 1751 |
"learning_rate": 9.113082447632394e-05,
|
| 1752 |
-
"loss": 0.
|
| 1753 |
"memory/device_reserved (GiB)": 36.0,
|
| 1754 |
"memory/max_active (GiB)": 33.82,
|
| 1755 |
"memory/max_allocated (GiB)": 33.82,
|
| 1756 |
-
"ppl": 1.
|
| 1757 |
"step": 125,
|
| 1758 |
"tokens/total": 3783312,
|
| 1759 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1760 |
"tokens/trainable": 57081
|
| 1761 |
},
|
| 1762 |
{
|
| 1763 |
"epoch": 0.4921875,
|
| 1764 |
-
"grad_norm": 0.
|
| 1765 |
"learning_rate": 9.09570303250602e-05,
|
| 1766 |
-
"loss": 0.
|
| 1767 |
"memory/device_reserved (GiB)": 36.0,
|
| 1768 |
"memory/max_active (GiB)": 33.88,
|
| 1769 |
"memory/max_allocated (GiB)": 33.88,
|
| 1770 |
-
"ppl": 1.
|
| 1771 |
"step": 126,
|
| 1772 |
"tokens/total": 3813712,
|
| 1773 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1774 |
"tokens/trainable": 57527
|
| 1775 |
},
|
| 1776 |
{
|
| 1777 |
"epoch": 0.49609375,
|
| 1778 |
-
"grad_norm": 0.
|
| 1779 |
"learning_rate": 9.078173985499394e-05,
|
| 1780 |
-
"loss": 0.
|
| 1781 |
"memory/device_reserved (GiB)": 36.0,
|
| 1782 |
"memory/max_active (GiB)": 33.94,
|
| 1783 |
"memory/max_allocated (GiB)": 33.94,
|
| 1784 |
-
"ppl": 1.
|
| 1785 |
"step": 127,
|
| 1786 |
"tokens/total": 3844336,
|
| 1787 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1788 |
"tokens/trainable": 58005
|
| 1789 |
},
|
| 1790 |
{
|
| 1791 |
"epoch": 0.5,
|
| 1792 |
-
"grad_norm": 0.
|
| 1793 |
"learning_rate": 9.060496036067713e-05,
|
| 1794 |
-
"loss": 0.
|
| 1795 |
"memory/device_reserved (GiB)": 36.0,
|
| 1796 |
"memory/max_active (GiB)": 33.39,
|
| 1797 |
"memory/max_allocated (GiB)": 33.39,
|
| 1798 |
-
"ppl": 1.
|
| 1799 |
"step": 128,
|
| 1800 |
"tokens/total": 3872688,
|
| 1801 |
"tokens/train_per_sec_per_gpu": 35.21,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
+
"grad_norm": 1.3783645629882812,
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
+
"tokens/train_per_sec_per_gpu": 27.09,
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
+
"grad_norm": 1.2333115339279175,
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
+
"tokens/train_per_sec_per_gpu": 34.63,
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
+
"grad_norm": 5.272272109985352,
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
+
"loss": 0.14415010809898376,
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
+
"ppl": 1.15506,
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
+
"tokens/train_per_sec_per_gpu": 34.94,
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
+
"grad_norm": 1.3964842557907104,
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
+
"loss": 0.13428445160388947,
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
+
"ppl": 1.14372,
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
+
"tokens/train_per_sec_per_gpu": 31.19,
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
+
"grad_norm": 1.4071121215820312,
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
+
"loss": 0.14405930042266846,
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
+
"ppl": 1.15495,
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
+
"tokens/train_per_sec_per_gpu": 36.8,
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
+
"grad_norm": 1.6760321855545044,
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
+
"loss": 0.11100607365369797,
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
+
"ppl": 1.1174,
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
+
"tokens/train_per_sec_per_gpu": 32.99,
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
+
"grad_norm": 1.3056405782699585,
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
+
"loss": 0.08474013209342957,
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
+
"ppl": 1.08843,
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
+
"tokens/train_per_sec_per_gpu": 33.9,
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
+
"grad_norm": 15.479830741882324,
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
+
"loss": 0.08459445834159851,
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
+
"ppl": 1.08828,
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
+
"tokens/train_per_sec_per_gpu": 34.2,
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
+
"grad_norm": 1.3126204013824463,
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
+
"loss": 0.06938324868679047,
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
+
"ppl": 1.07185,
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
+
"tokens/train_per_sec_per_gpu": 29.12,
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
+
"grad_norm": 1.292763590812683,
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
+
"loss": 0.04889247566461563,
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
+
"ppl": 1.05011,
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
+
"tokens/train_per_sec_per_gpu": 37.66,
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
+
"grad_norm": 1.0318297147750854,
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
+
"loss": 0.030023720115423203,
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
+
"ppl": 1.03048,
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
+
"tokens/train_per_sec_per_gpu": 33.15,
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
+
"grad_norm": 1.4940381050109863,
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
+
"loss": 0.05268975719809532,
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
+
"ppl": 1.0541,
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
+
"tokens/train_per_sec_per_gpu": 34.26,
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
+
"grad_norm": 2.0244202613830566,
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
+
"loss": 0.06068706512451172,
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
+
"ppl": 1.06257,
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
+
"tokens/train_per_sec_per_gpu": 35.26,
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
+
"grad_norm": 1.5167357921600342,
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
+
"loss": 0.03630872070789337,
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
+
"ppl": 1.03698,
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
+
"tokens/train_per_sec_per_gpu": 34.75,
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
+
"grad_norm": 1.7407020330429077,
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
+
"loss": 0.056628547608852386,
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
+
"ppl": 1.05826,
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
+
"tokens/train_per_sec_per_gpu": 36.1,
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
+
"grad_norm": 2.506803512573242,
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
+
"loss": 0.07074552774429321,
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
+
"ppl": 1.07331,
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
+
"tokens/train_per_sec_per_gpu": 30.03,
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
+
"grad_norm": 1.2572238445281982,
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
+
"loss": 0.04099711775779724,
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
+
"ppl": 1.04185,
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
+
"tokens/train_per_sec_per_gpu": 35.91,
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
+
"grad_norm": 36.9443359375,
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
+
"loss": 0.021194521337747574,
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
+
"ppl": 1.02142,
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
+
"tokens/train_per_sec_per_gpu": 33.78,
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
+
"grad_norm": 0.377701997756958,
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
+
"loss": 0.013856083154678345,
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
+
"ppl": 1.01395,
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
+
"tokens/train_per_sec_per_gpu": 34.89,
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
+
"grad_norm": 1.426601529121399,
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
+
"loss": 0.0455022007226944,
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
+
"ppl": 1.04655,
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
+
"tokens/train_per_sec_per_gpu": 39.72,
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
+
"grad_norm": 0.56149822473526,
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
+
"loss": 0.03209531307220459,
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
+
"ppl": 1.03262,
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
+
"tokens/train_per_sec_per_gpu": 31.61,
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
+
"grad_norm": 1.1531219482421875,
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
+
"loss": 0.04279206693172455,
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
+
"ppl": 1.04372,
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
+
"tokens/train_per_sec_per_gpu": 36.11,
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
+
"grad_norm": 0.9407010078430176,
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
+
"loss": 0.01938648894429207,
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
+
"ppl": 1.01958,
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
+
"tokens/train_per_sec_per_gpu": 32.88,
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
+
"grad_norm": 0.3499844968318939,
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
+
"loss": 0.01257958635687828,
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
+
"ppl": 1.01266,
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
+
"tokens/train_per_sec_per_gpu": 31.52,
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
+
"grad_norm": 1.6778419017791748,
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
+
"loss": 0.04129436984658241,
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
+
"ppl": 1.04216,
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
+
"grad_norm": 0.5760903358459473,
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
+
"loss": 0.008185511454939842,
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
+
"ppl": 1.00822,
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
+
"tokens/train_per_sec_per_gpu": 34.31,
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
+
"grad_norm": 5.235631942749023,
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
+
"loss": 0.010828999802470207,
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
+
"ppl": 1.01089,
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
+
"tokens/train_per_sec_per_gpu": 31.62,
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
+
"grad_norm": 1.404441475868225,
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
+
"loss": 0.051578108221292496,
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
+
"ppl": 1.05293,
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
+
"tokens/train_per_sec_per_gpu": 37.76,
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
+
"grad_norm": 3.0178139209747314,
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
+
"loss": 0.051813721656799316,
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
+
"ppl": 1.05318,
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
+
"tokens/train_per_sec_per_gpu": 35.43,
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
+
"grad_norm": 1.413711428642273,
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
+
"loss": 0.025016000494360924,
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
+
"ppl": 1.02533,
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
+
"tokens/train_per_sec_per_gpu": 35.27,
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
+
"grad_norm": 1.1610053777694702,
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
+
"loss": 0.008201262913644314,
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
+
"ppl": 1.00823,
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
+
"tokens/train_per_sec_per_gpu": 34.0,
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
+
"grad_norm": 0.2630869448184967,
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
+
"loss": 0.006646217778325081,
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
+
"ppl": 1.00667,
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
+
"tokens/train_per_sec_per_gpu": 34.38,
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 0.12890625,
|
| 462 |
+
"grad_norm": 0.7988011240959167,
|
| 463 |
"learning_rate": 9.995412811123711e-05,
|
| 464 |
+
"loss": 0.017185213044285774,
|
| 465 |
"memory/device_reserved (GiB)": 37.82,
|
| 466 |
"memory/max_active (GiB)": 33.95,
|
| 467 |
"memory/max_allocated (GiB)": 33.95,
|
| 468 |
+
"ppl": 1.01733,
|
| 469 |
"step": 33,
|
| 470 |
"tokens/total": 999792,
|
| 471 |
+
"tokens/train_per_sec_per_gpu": 33.23,
|
| 472 |
"tokens/trainable": 15087
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 0.1328125,
|
| 476 |
+
"grad_norm": 0.5069737434387207,
|
| 477 |
"learning_rate": 9.994008881295999e-05,
|
| 478 |
+
"loss": 0.02045844867825508,
|
| 479 |
"memory/device_reserved (GiB)": 35.48,
|
| 480 |
"memory/max_active (GiB)": 33.77,
|
| 481 |
"memory/max_allocated (GiB)": 33.77,
|
| 482 |
+
"ppl": 1.02067,
|
| 483 |
"step": 34,
|
| 484 |
"tokens/total": 1029840,
|
| 485 |
"tokens/train_per_sec_per_gpu": 33.81,
|
|
|
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.13671875,
|
| 490 |
+
"grad_norm": 0.8837020993232727,
|
| 491 |
"learning_rate": 9.992417937414932e-05,
|
| 492 |
+
"loss": 0.024748671799898148,
|
| 493 |
"memory/device_reserved (GiB)": 35.48,
|
| 494 |
"memory/max_active (GiB)": 33.9,
|
| 495 |
"memory/max_allocated (GiB)": 33.9,
|
| 496 |
+
"ppl": 1.02506,
|
| 497 |
"step": 35,
|
| 498 |
"tokens/total": 1060416,
|
| 499 |
+
"tokens/train_per_sec_per_gpu": 33.69,
|
| 500 |
"tokens/trainable": 16037
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 0.140625,
|
| 504 |
+
"grad_norm": 0.7192158102989197,
|
| 505 |
"learning_rate": 9.99064004568618e-05,
|
| 506 |
+
"loss": 0.0077397022396326065,
|
| 507 |
"memory/device_reserved (GiB)": 35.48,
|
| 508 |
"memory/max_active (GiB)": 33.72,
|
| 509 |
"memory/max_allocated (GiB)": 33.72,
|
| 510 |
+
"ppl": 1.00777,
|
| 511 |
"step": 36,
|
| 512 |
"tokens/total": 1090464,
|
| 513 |
+
"tokens/train_per_sec_per_gpu": 31.0,
|
| 514 |
"tokens/trainable": 16475
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 0.14453125,
|
| 518 |
+
"grad_norm": 0.8887882232666016,
|
| 519 |
"learning_rate": 9.988675280095074e-05,
|
| 520 |
+
"loss": 0.024969205260276794,
|
| 521 |
"memory/device_reserved (GiB)": 35.86,
|
| 522 |
"memory/max_active (GiB)": 33.93,
|
| 523 |
"memory/max_allocated (GiB)": 33.93,
|
| 524 |
+
"ppl": 1.02528,
|
| 525 |
"step": 37,
|
| 526 |
"tokens/total": 1120944,
|
| 527 |
+
"tokens/train_per_sec_per_gpu": 34.32,
|
| 528 |
"tokens/trainable": 16919
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 0.1484375,
|
| 532 |
+
"grad_norm": 1.0087132453918457,
|
| 533 |
"learning_rate": 9.986523722403528e-05,
|
| 534 |
+
"loss": 0.02261659875512123,
|
| 535 |
"memory/device_reserved (GiB)": 35.86,
|
| 536 |
"memory/max_active (GiB)": 33.87,
|
| 537 |
"memory/max_allocated (GiB)": 33.87,
|
| 538 |
+
"ppl": 1.02287,
|
| 539 |
"step": 38,
|
| 540 |
"tokens/total": 1151360,
|
| 541 |
+
"tokens/train_per_sec_per_gpu": 28.9,
|
| 542 |
"tokens/trainable": 17333
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 0.15234375,
|
| 546 |
+
"grad_norm": 0.5544025897979736,
|
| 547 |
"learning_rate": 9.984185462146642e-05,
|
| 548 |
+
"loss": 0.009409069083631039,
|
| 549 |
"memory/device_reserved (GiB)": 35.86,
|
| 550 |
"memory/max_active (GiB)": 33.9,
|
| 551 |
"memory/max_allocated (GiB)": 33.9,
|
| 552 |
+
"ppl": 1.00945,
|
| 553 |
"step": 39,
|
| 554 |
"tokens/total": 1181728,
|
| 555 |
+
"tokens/train_per_sec_per_gpu": 36.09,
|
| 556 |
"tokens/trainable": 17806
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 0.15625,
|
| 560 |
+
"grad_norm": 0.6828466653823853,
|
| 561 |
"learning_rate": 9.98166059662897e-05,
|
| 562 |
+
"loss": 0.015685085207223892,
|
| 563 |
"memory/device_reserved (GiB)": 35.86,
|
| 564 |
"memory/max_active (GiB)": 33.83,
|
| 565 |
"memory/max_allocated (GiB)": 33.83,
|
| 566 |
+
"ppl": 1.01581,
|
| 567 |
"step": 40,
|
| 568 |
"tokens/total": 1212064,
|
| 569 |
+
"tokens/train_per_sec_per_gpu": 35.58,
|
| 570 |
"tokens/trainable": 18290
|
| 571 |
},
|
| 572 |
{
|
| 573 |
"epoch": 0.16015625,
|
| 574 |
+
"grad_norm": 0.32031646370887756,
|
| 575 |
"learning_rate": 9.978949230920472e-05,
|
| 576 |
+
"loss": 0.006071081385016441,
|
| 577 |
"memory/device_reserved (GiB)": 35.88,
|
| 578 |
"memory/max_active (GiB)": 33.97,
|
| 579 |
"memory/max_allocated (GiB)": 33.97,
|
| 580 |
+
"ppl": 1.00609,
|
| 581 |
"step": 41,
|
| 582 |
"tokens/total": 1242592,
|
| 583 |
+
"tokens/train_per_sec_per_gpu": 31.93,
|
| 584 |
"tokens/trainable": 18747
|
| 585 |
},
|
| 586 |
{
|
| 587 |
"epoch": 0.1640625,
|
| 588 |
+
"grad_norm": 1.35106360912323,
|
| 589 |
"learning_rate": 9.976051477852141e-05,
|
| 590 |
+
"loss": 0.038804396986961365,
|
| 591 |
"memory/device_reserved (GiB)": 35.88,
|
| 592 |
"memory/max_active (GiB)": 33.81,
|
| 593 |
"memory/max_allocated (GiB)": 33.81,
|
| 594 |
+
"ppl": 1.03957,
|
| 595 |
"step": 42,
|
| 596 |
"tokens/total": 1272800,
|
| 597 |
+
"tokens/train_per_sec_per_gpu": 31.83,
|
| 598 |
"tokens/trainable": 19172
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"epoch": 0.16796875,
|
| 602 |
+
"grad_norm": 0.8709872961044312,
|
| 603 |
"learning_rate": 9.972967458011312e-05,
|
| 604 |
+
"loss": 0.019240852445364,
|
| 605 |
"memory/device_reserved (GiB)": 36.03,
|
| 606 |
"memory/max_active (GiB)": 34.04,
|
| 607 |
"memory/max_allocated (GiB)": 34.04,
|
| 608 |
+
"ppl": 1.01943,
|
| 609 |
"step": 43,
|
| 610 |
"tokens/total": 1303600,
|
| 611 |
+
"tokens/train_per_sec_per_gpu": 31.21,
|
| 612 |
"tokens/trainable": 19622
|
| 613 |
},
|
| 614 |
{
|
| 615 |
"epoch": 0.171875,
|
| 616 |
+
"grad_norm": 0.7335953116416931,
|
| 617 |
"learning_rate": 9.96969729973664e-05,
|
| 618 |
+
"loss": 0.012263014912605286,
|
| 619 |
"memory/device_reserved (GiB)": 36.03,
|
| 620 |
"memory/max_active (GiB)": 33.81,
|
| 621 |
"memory/max_allocated (GiB)": 33.81,
|
| 622 |
+
"ppl": 1.01234,
|
| 623 |
"step": 44,
|
| 624 |
"tokens/total": 1333936,
|
| 625 |
+
"tokens/train_per_sec_per_gpu": 33.31,
|
| 626 |
"tokens/trainable": 20073
|
| 627 |
},
|
| 628 |
{
|
| 629 |
"epoch": 0.17578125,
|
| 630 |
+
"grad_norm": 1.9549319744110107,
|
| 631 |
"learning_rate": 9.966241139112754e-05,
|
| 632 |
+
"loss": 0.012868007645010948,
|
| 633 |
"memory/device_reserved (GiB)": 36.03,
|
| 634 |
"memory/max_active (GiB)": 33.9,
|
| 635 |
"memory/max_allocated (GiB)": 33.9,
|
| 636 |
+
"ppl": 1.01295,
|
| 637 |
"step": 45,
|
| 638 |
"tokens/total": 1364288,
|
| 639 |
+
"tokens/train_per_sec_per_gpu": 31.46,
|
| 640 |
"tokens/trainable": 20497
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"epoch": 0.1796875,
|
| 644 |
+
"grad_norm": 0.5352866053581238,
|
| 645 |
"learning_rate": 9.96259911996461e-05,
|
| 646 |
+
"loss": 0.006207342725247145,
|
| 647 |
"memory/device_reserved (GiB)": 36.03,
|
| 648 |
"memory/max_active (GiB)": 33.82,
|
| 649 |
"memory/max_allocated (GiB)": 33.82,
|
| 650 |
+
"ppl": 1.00623,
|
| 651 |
"step": 46,
|
| 652 |
"tokens/total": 1394368,
|
| 653 |
+
"tokens/train_per_sec_per_gpu": 34.21,
|
| 654 |
"tokens/trainable": 20940
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.18359375,
|
| 658 |
+
"grad_norm": 0.6218534708023071,
|
| 659 |
"learning_rate": 9.958771393851491e-05,
|
| 660 |
+
"loss": 0.006636852398514748,
|
| 661 |
"memory/device_reserved (GiB)": 36.15,
|
| 662 |
"memory/max_active (GiB)": 33.98,
|
| 663 |
"memory/max_allocated (GiB)": 33.98,
|
| 664 |
+
"ppl": 1.00666,
|
| 665 |
"step": 47,
|
| 666 |
"tokens/total": 1425024,
|
| 667 |
+
"tokens/train_per_sec_per_gpu": 34.94,
|
| 668 |
"tokens/trainable": 21405
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 0.1875,
|
| 672 |
+
"grad_norm": 0.7587782144546509,
|
| 673 |
"learning_rate": 9.954758120060702e-05,
|
| 674 |
+
"loss": 0.008137413300573826,
|
| 675 |
"memory/device_reserved (GiB)": 36.15,
|
| 676 |
"memory/max_active (GiB)": 33.86,
|
| 677 |
"memory/max_allocated (GiB)": 33.86,
|
| 678 |
+
"ppl": 1.00817,
|
| 679 |
"step": 48,
|
| 680 |
"tokens/total": 1455392,
|
| 681 |
+
"tokens/train_per_sec_per_gpu": 35.03,
|
| 682 |
"tokens/trainable": 21828
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 0.19140625,
|
| 686 |
+
"grad_norm": 0.6957025527954102,
|
| 687 |
"learning_rate": 9.950559465600948e-05,
|
| 688 |
+
"loss": 0.019302664324641228,
|
| 689 |
"memory/device_reserved (GiB)": 36.15,
|
| 690 |
"memory/max_active (GiB)": 33.88,
|
| 691 |
"memory/max_allocated (GiB)": 33.88,
|
| 692 |
+
"ppl": 1.01949,
|
| 693 |
"step": 49,
|
| 694 |
"tokens/total": 1485616,
|
| 695 |
+
"tokens/train_per_sec_per_gpu": 29.43,
|
| 696 |
"tokens/trainable": 22241
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"epoch": 0.1953125,
|
| 700 |
+
"grad_norm": 0.7795535922050476,
|
| 701 |
"learning_rate": 9.946175605195379e-05,
|
| 702 |
+
"loss": 0.0063660056330263615,
|
| 703 |
"memory/device_reserved (GiB)": 36.15,
|
| 704 |
"memory/max_active (GiB)": 33.92,
|
| 705 |
"memory/max_allocated (GiB)": 33.92,
|
| 706 |
+
"ppl": 1.00639,
|
| 707 |
"step": 50,
|
| 708 |
"tokens/total": 1515984,
|
| 709 |
"tokens/train_per_sec_per_gpu": 36.23,
|
|
|
|
| 711 |
},
|
| 712 |
{
|
| 713 |
"epoch": 0.19921875,
|
| 714 |
+
"grad_norm": 0.20801189541816711,
|
| 715 |
"learning_rate": 9.941606721274322e-05,
|
| 716 |
+
"loss": 0.0021921340376138687,
|
| 717 |
"memory/device_reserved (GiB)": 36.15,
|
| 718 |
"memory/max_active (GiB)": 33.89,
|
| 719 |
"memory/max_allocated (GiB)": 33.89,
|
| 720 |
+
"ppl": 1.00219,
|
| 721 |
"step": 51,
|
| 722 |
"tokens/total": 1546224,
|
| 723 |
+
"tokens/train_per_sec_per_gpu": 32.03,
|
| 724 |
"tokens/trainable": 23136
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"epoch": 0.203125,
|
| 728 |
+
"grad_norm": 0.7914130687713623,
|
| 729 |
"learning_rate": 9.936853003967685e-05,
|
| 730 |
+
"loss": 0.012165859341621399,
|
| 731 |
"memory/device_reserved (GiB)": 36.15,
|
| 732 |
"memory/max_active (GiB)": 33.88,
|
| 733 |
"memory/max_allocated (GiB)": 33.88,
|
| 734 |
+
"ppl": 1.01224,
|
| 735 |
"step": 52,
|
| 736 |
"tokens/total": 1576528,
|
| 737 |
+
"tokens/train_per_sec_per_gpu": 36.92,
|
| 738 |
"tokens/trainable": 23631
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 0.20703125,
|
| 742 |
+
"grad_norm": 0.7185864448547363,
|
| 743 |
"learning_rate": 9.93191465109705e-05,
|
| 744 |
+
"loss": 0.008950375951826572,
|
| 745 |
"memory/device_reserved (GiB)": 36.15,
|
| 746 |
"memory/max_active (GiB)": 33.83,
|
| 747 |
"memory/max_allocated (GiB)": 33.83,
|
| 748 |
+
"ppl": 1.00899,
|
| 749 |
"step": 53,
|
| 750 |
"tokens/total": 1606768,
|
| 751 |
+
"tokens/train_per_sec_per_gpu": 34.05,
|
| 752 |
"tokens/trainable": 24096
|
| 753 |
},
|
| 754 |
{
|
| 755 |
"epoch": 0.2109375,
|
| 756 |
+
"grad_norm": 0.8439444303512573,
|
| 757 |
"learning_rate": 9.926791868167438e-05,
|
| 758 |
+
"loss": 0.011410758830606937,
|
| 759 |
"memory/device_reserved (GiB)": 36.15,
|
| 760 |
"memory/max_active (GiB)": 33.66,
|
| 761 |
"memory/max_allocated (GiB)": 33.66,
|
| 762 |
+
"ppl": 1.01148,
|
| 763 |
"step": 54,
|
| 764 |
"tokens/total": 1636640,
|
| 765 |
+
"tokens/train_per_sec_per_gpu": 37.77,
|
| 766 |
"tokens/trainable": 24569
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"epoch": 0.21484375,
|
| 770 |
+
"grad_norm": 0.47947707772254944,
|
| 771 |
"learning_rate": 9.921484868358753e-05,
|
| 772 |
+
"loss": 0.004429137334227562,
|
| 773 |
"memory/device_reserved (GiB)": 36.15,
|
| 774 |
"memory/max_active (GiB)": 33.88,
|
| 775 |
"memory/max_allocated (GiB)": 33.88,
|
| 776 |
+
"ppl": 1.00444,
|
| 777 |
"step": 55,
|
| 778 |
"tokens/total": 1667136,
|
| 779 |
+
"tokens/train_per_sec_per_gpu": 33.86,
|
| 780 |
"tokens/trainable": 25067
|
| 781 |
},
|
| 782 |
{
|
| 783 |
"epoch": 0.21875,
|
| 784 |
+
"grad_norm": 0.4257976710796356,
|
| 785 |
"learning_rate": 9.915993872516924e-05,
|
| 786 |
+
"loss": 0.00340340007096529,
|
| 787 |
"memory/device_reserved (GiB)": 36.15,
|
| 788 |
"memory/max_active (GiB)": 33.85,
|
| 789 |
"memory/max_allocated (GiB)": 33.85,
|
| 790 |
+
"ppl": 1.00341,
|
| 791 |
"step": 56,
|
| 792 |
"tokens/total": 1697472,
|
| 793 |
+
"tokens/train_per_sec_per_gpu": 36.47,
|
| 794 |
"tokens/trainable": 25541
|
| 795 |
},
|
| 796 |
{
|
| 797 |
"epoch": 0.22265625,
|
| 798 |
+
"grad_norm": 0.7323225736618042,
|
| 799 |
"learning_rate": 9.9103191091447e-05,
|
| 800 |
+
"loss": 0.010487878695130348,
|
| 801 |
"memory/device_reserved (GiB)": 36.15,
|
| 802 |
"memory/max_active (GiB)": 33.9,
|
| 803 |
"memory/max_allocated (GiB)": 33.9,
|
| 804 |
+
"ppl": 1.01054,
|
| 805 |
"step": 57,
|
| 806 |
"tokens/total": 1727680,
|
| 807 |
+
"tokens/train_per_sec_per_gpu": 33.08,
|
| 808 |
"tokens/trainable": 25965
|
| 809 |
},
|
| 810 |
{
|
| 811 |
"epoch": 0.2265625,
|
| 812 |
+
"grad_norm": 2.3697221279144287,
|
| 813 |
"learning_rate": 9.904460814392147e-05,
|
| 814 |
+
"loss": 0.004758198279887438,
|
| 815 |
"memory/device_reserved (GiB)": 36.15,
|
| 816 |
"memory/max_active (GiB)": 33.87,
|
| 817 |
"memory/max_allocated (GiB)": 33.87,
|
| 818 |
+
"ppl": 1.00477,
|
| 819 |
"step": 58,
|
| 820 |
"tokens/total": 1758192,
|
| 821 |
+
"tokens/train_per_sec_per_gpu": 33.79,
|
| 822 |
"tokens/trainable": 26409
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 0.23046875,
|
| 826 |
+
"grad_norm": 1.732944369316101,
|
| 827 |
"learning_rate": 9.898419232046825e-05,
|
| 828 |
+
"loss": 0.00296807405538857,
|
| 829 |
"memory/device_reserved (GiB)": 36.15,
|
| 830 |
"memory/max_active (GiB)": 33.92,
|
| 831 |
"memory/max_allocated (GiB)": 33.92,
|
| 832 |
+
"ppl": 1.00297,
|
| 833 |
"step": 59,
|
| 834 |
"tokens/total": 1788816,
|
| 835 |
+
"tokens/train_per_sec_per_gpu": 33.99,
|
| 836 |
"tokens/trainable": 26883
|
| 837 |
},
|
| 838 |
{
|
| 839 |
"epoch": 0.234375,
|
| 840 |
+
"grad_norm": 4.904305934906006,
|
| 841 |
"learning_rate": 9.892194613523633e-05,
|
| 842 |
+
"loss": 0.005324847996234894,
|
| 843 |
"memory/device_reserved (GiB)": 36.15,
|
| 844 |
"memory/max_active (GiB)": 33.86,
|
| 845 |
"memory/max_allocated (GiB)": 33.86,
|
| 846 |
+
"ppl": 1.00534,
|
| 847 |
"step": 60,
|
| 848 |
"tokens/total": 1819056,
|
| 849 |
+
"tokens/train_per_sec_per_gpu": 33.67,
|
| 850 |
"tokens/trainable": 27323
|
| 851 |
},
|
| 852 |
{
|
| 853 |
"epoch": 0.23828125,
|
| 854 |
+
"grad_norm": 0.08419182896614075,
|
| 855 |
"learning_rate": 9.885787217854357e-05,
|
| 856 |
+
"loss": 0.0007892341818660498,
|
| 857 |
"memory/device_reserved (GiB)": 36.16,
|
| 858 |
"memory/max_active (GiB)": 33.92,
|
| 859 |
"memory/max_allocated (GiB)": 33.92,
|
| 860 |
+
"ppl": 1.00079,
|
| 861 |
"step": 61,
|
| 862 |
"tokens/total": 1849664,
|
| 863 |
+
"tokens/train_per_sec_per_gpu": 39.09,
|
| 864 |
"tokens/trainable": 27830
|
| 865 |
},
|
| 866 |
{
|
| 867 |
"epoch": 0.2421875,
|
| 868 |
+
"grad_norm": 0.7355648279190063,
|
| 869 |
"learning_rate": 9.879197311676887e-05,
|
| 870 |
+
"loss": 0.017353510484099388,
|
| 871 |
"memory/device_reserved (GiB)": 36.16,
|
| 872 |
"memory/max_active (GiB)": 34.02,
|
| 873 |
"memory/max_allocated (GiB)": 34.02,
|
| 874 |
+
"ppl": 1.0175,
|
| 875 |
"step": 62,
|
| 876 |
"tokens/total": 1880272,
|
| 877 |
+
"tokens/train_per_sec_per_gpu": 32.21,
|
| 878 |
"tokens/trainable": 28281
|
| 879 |
},
|
| 880 |
{
|
| 881 |
"epoch": 0.24609375,
|
| 882 |
+
"grad_norm": 0.925104558467865,
|
| 883 |
"learning_rate": 9.872425169224113e-05,
|
| 884 |
+
"loss": 0.01441475935280323,
|
| 885 |
"memory/device_reserved (GiB)": 36.16,
|
| 886 |
"memory/max_active (GiB)": 33.85,
|
| 887 |
"memory/max_allocated (GiB)": 33.85,
|
| 888 |
+
"ppl": 1.01452,
|
| 889 |
"step": 63,
|
| 890 |
"tokens/total": 1910752,
|
| 891 |
+
"tokens/train_per_sec_per_gpu": 32.16,
|
| 892 |
"tokens/trainable": 28742
|
| 893 |
},
|
| 894 |
{
|
| 895 |
"epoch": 0.25,
|
| 896 |
+
"grad_norm": 0.2562558352947235,
|
| 897 |
"learning_rate": 9.865471072312528e-05,
|
| 898 |
+
"loss": 0.0025585039984434843,
|
| 899 |
"memory/device_reserved (GiB)": 36.16,
|
| 900 |
"memory/max_active (GiB)": 33.84,
|
| 901 |
"memory/max_allocated (GiB)": 33.84,
|
| 902 |
+
"ppl": 1.00256,
|
| 903 |
"step": 64,
|
| 904 |
"tokens/total": 1940848,
|
| 905 |
+
"tokens/train_per_sec_per_gpu": 33.54,
|
| 906 |
"tokens/trainable": 29183
|
| 907 |
},
|
| 908 |
{
|
| 909 |
"epoch": 0.25390625,
|
| 910 |
+
"grad_norm": 0.5092302560806274,
|
| 911 |
"learning_rate": 9.858335310330492e-05,
|
| 912 |
+
"loss": 0.007829459384083748,
|
| 913 |
"memory/device_reserved (GiB)": 36.16,
|
| 914 |
"memory/max_active (GiB)": 33.91,
|
| 915 |
"memory/max_allocated (GiB)": 33.91,
|
| 916 |
+
"ppl": 1.00786,
|
| 917 |
"step": 65,
|
| 918 |
"tokens/total": 1971344,
|
| 919 |
+
"tokens/train_per_sec_per_gpu": 31.45,
|
| 920 |
"tokens/trainable": 29648
|
| 921 |
},
|
| 922 |
{
|
| 923 |
"epoch": 0.2578125,
|
| 924 |
+
"grad_norm": 0.5972490310668945,
|
| 925 |
"learning_rate": 9.851018180226185e-05,
|
| 926 |
+
"loss": 0.0017629603389650583,
|
| 927 |
"memory/device_reserved (GiB)": 35.06,
|
| 928 |
"memory/max_active (GiB)": 33.83,
|
| 929 |
"memory/max_allocated (GiB)": 33.83,
|
| 930 |
+
"ppl": 1.00176,
|
| 931 |
"step": 66,
|
| 932 |
"tokens/total": 2001712,
|
| 933 |
+
"tokens/train_per_sec_per_gpu": 33.44,
|
| 934 |
"tokens/trainable": 30075
|
| 935 |
},
|
| 936 |
{
|
| 937 |
"epoch": 0.26171875,
|
| 938 |
+
"grad_norm": 0.6682910919189453,
|
| 939 |
"learning_rate": 9.843519986495259e-05,
|
| 940 |
+
"loss": 0.005682674702256918,
|
| 941 |
"memory/device_reserved (GiB)": 35.64,
|
| 942 |
"memory/max_active (GiB)": 33.78,
|
| 943 |
"memory/max_allocated (GiB)": 33.78,
|
| 944 |
+
"ppl": 1.0057,
|
| 945 |
"step": 67,
|
| 946 |
"tokens/total": 2029936,
|
| 947 |
+
"tokens/train_per_sec_per_gpu": 37.53,
|
| 948 |
"tokens/trainable": 30546
|
| 949 |
},
|
| 950 |
{
|
| 951 |
"epoch": 0.265625,
|
| 952 |
+
"grad_norm": 2.3002567291259766,
|
| 953 |
"learning_rate": 9.835841041168162e-05,
|
| 954 |
+
"loss": 0.010535864159464836,
|
| 955 |
"memory/device_reserved (GiB)": 35.64,
|
| 956 |
"memory/max_active (GiB)": 33.86,
|
| 957 |
"memory/max_allocated (GiB)": 33.86,
|
| 958 |
+
"ppl": 1.01059,
|
| 959 |
"step": 68,
|
| 960 |
"tokens/total": 2060384,
|
| 961 |
+
"tokens/train_per_sec_per_gpu": 35.06,
|
| 962 |
"tokens/trainable": 31025
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 0.26953125,
|
| 966 |
+
"grad_norm": 2.2319464683532715,
|
| 967 |
"learning_rate": 9.82798166379715e-05,
|
| 968 |
+
"loss": 0.016697486862540245,
|
| 969 |
"memory/device_reserved (GiB)": 35.64,
|
| 970 |
"memory/max_active (GiB)": 33.85,
|
| 971 |
"memory/max_allocated (GiB)": 33.85,
|
| 972 |
+
"ppl": 1.01684,
|
| 973 |
"step": 69,
|
| 974 |
"tokens/total": 2090688,
|
| 975 |
+
"tokens/train_per_sec_per_gpu": 33.87,
|
| 976 |
"tokens/trainable": 31505
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 0.2734375,
|
| 980 |
+
"grad_norm": 0.4549625515937805,
|
| 981 |
"learning_rate": 9.819942181443002e-05,
|
| 982 |
+
"loss": 0.005516475066542625,
|
| 983 |
"memory/device_reserved (GiB)": 35.64,
|
| 984 |
"memory/max_active (GiB)": 33.77,
|
| 985 |
"memory/max_allocated (GiB)": 33.77,
|
| 986 |
+
"ppl": 1.00553,
|
| 987 |
"step": 70,
|
| 988 |
"tokens/total": 2120848,
|
| 989 |
+
"tokens/train_per_sec_per_gpu": 32.21,
|
| 990 |
"tokens/trainable": 31956
|
| 991 |
},
|
| 992 |
{
|
| 993 |
"epoch": 0.27734375,
|
| 994 |
+
"grad_norm": 0.7483011484146118,
|
| 995 |
"learning_rate": 9.811722928661392e-05,
|
| 996 |
+
"loss": 0.008852789178490639,
|
| 997 |
"memory/device_reserved (GiB)": 35.64,
|
| 998 |
"memory/max_active (GiB)": 33.35,
|
| 999 |
"memory/max_allocated (GiB)": 33.35,
|
| 1000 |
+
"ppl": 1.00889,
|
| 1001 |
"step": 71,
|
| 1002 |
"tokens/total": 2149120,
|
| 1003 |
+
"tokens/train_per_sec_per_gpu": 33.33,
|
| 1004 |
"tokens/trainable": 32374
|
| 1005 |
},
|
| 1006 |
{
|
| 1007 |
"epoch": 0.28125,
|
| 1008 |
+
"grad_norm": 0.4358912706375122,
|
| 1009 |
"learning_rate": 9.803324247488975e-05,
|
| 1010 |
+
"loss": 0.0014208657667040825,
|
| 1011 |
"memory/device_reserved (GiB)": 35.64,
|
| 1012 |
"memory/max_active (GiB)": 33.81,
|
| 1013 |
"memory/max_allocated (GiB)": 33.81,
|
| 1014 |
+
"ppl": 1.00142,
|
| 1015 |
"step": 72,
|
| 1016 |
"tokens/total": 2179472,
|
| 1017 |
+
"tokens/train_per_sec_per_gpu": 34.46,
|
| 1018 |
"tokens/trainable": 32833
|
| 1019 |
},
|
| 1020 |
{
|
| 1021 |
"epoch": 0.28515625,
|
| 1022 |
+
"grad_norm": 0.32716670632362366,
|
| 1023 |
"learning_rate": 9.794746487429161e-05,
|
| 1024 |
+
"loss": 0.005963748786598444,
|
| 1025 |
"memory/device_reserved (GiB)": 35.96,
|
| 1026 |
"memory/max_active (GiB)": 33.92,
|
| 1027 |
"memory/max_allocated (GiB)": 33.92,
|
| 1028 |
+
"ppl": 1.00598,
|
| 1029 |
"step": 73,
|
| 1030 |
"tokens/total": 2209984,
|
| 1031 |
+
"tokens/train_per_sec_per_gpu": 35.67,
|
| 1032 |
"tokens/trainable": 33304
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
"epoch": 0.2890625,
|
| 1036 |
+
"grad_norm": 0.5767021775245667,
|
| 1037 |
"learning_rate": 9.785990005437554e-05,
|
| 1038 |
+
"loss": 0.00536112766712904,
|
| 1039 |
"memory/device_reserved (GiB)": 35.96,
|
| 1040 |
"memory/max_active (GiB)": 33.83,
|
| 1041 |
"memory/max_allocated (GiB)": 33.83,
|
| 1042 |
+
"ppl": 1.00538,
|
| 1043 |
"step": 74,
|
| 1044 |
"tokens/total": 2240512,
|
| 1045 |
+
"tokens/train_per_sec_per_gpu": 32.33,
|
| 1046 |
"tokens/trainable": 33771
|
| 1047 |
},
|
| 1048 |
{
|
| 1049 |
"epoch": 0.29296875,
|
| 1050 |
+
"grad_norm": 0.9307782649993896,
|
| 1051 |
"learning_rate": 9.777055165907117e-05,
|
| 1052 |
+
"loss": 0.006907512433826923,
|
| 1053 |
"memory/device_reserved (GiB)": 35.96,
|
| 1054 |
"memory/max_active (GiB)": 33.74,
|
| 1055 |
"memory/max_allocated (GiB)": 33.74,
|
| 1056 |
+
"ppl": 1.00693,
|
| 1057 |
"step": 75,
|
| 1058 |
"tokens/total": 2270608,
|
| 1059 |
+
"tokens/train_per_sec_per_gpu": 34.46,
|
| 1060 |
"tokens/trainable": 34186
|
| 1061 |
},
|
| 1062 |
{
|
| 1063 |
"epoch": 0.296875,
|
| 1064 |
+
"grad_norm": 0.517152726650238,
|
| 1065 |
"learning_rate": 9.767942340652993e-05,
|
| 1066 |
+
"loss": 0.0017031149473041296,
|
| 1067 |
"memory/device_reserved (GiB)": 35.96,
|
| 1068 |
"memory/max_active (GiB)": 33.81,
|
| 1069 |
"memory/max_allocated (GiB)": 33.81,
|
| 1070 |
+
"ppl": 1.0017,
|
| 1071 |
"step": 76,
|
| 1072 |
"tokens/total": 2300864,
|
| 1073 |
+
"tokens/train_per_sec_per_gpu": 34.83,
|
| 1074 |
"tokens/trainable": 34667
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 0.30078125,
|
| 1078 |
+
"grad_norm": 4.431775093078613,
|
| 1079 |
"learning_rate": 9.758651908897035e-05,
|
| 1080 |
+
"loss": 0.01024378277361393,
|
| 1081 |
"memory/device_reserved (GiB)": 35.96,
|
| 1082 |
"memory/max_active (GiB)": 33.76,
|
| 1083 |
"memory/max_allocated (GiB)": 33.76,
|
| 1084 |
+
"ppl": 1.0103,
|
| 1085 |
"step": 77,
|
| 1086 |
"tokens/total": 2330960,
|
| 1087 |
+
"tokens/train_per_sec_per_gpu": 31.71,
|
| 1088 |
"tokens/trainable": 35078
|
| 1089 |
},
|
| 1090 |
{
|
| 1091 |
"epoch": 0.3046875,
|
| 1092 |
+
"grad_norm": 1.6990809440612793,
|
| 1093 |
"learning_rate": 9.749184257252033e-05,
|
| 1094 |
+
"loss": 0.016885127872228622,
|
| 1095 |
"memory/device_reserved (GiB)": 35.98,
|
| 1096 |
"memory/max_active (GiB)": 33.99,
|
| 1097 |
"memory/max_allocated (GiB)": 33.99,
|
| 1098 |
+
"ppl": 1.01703,
|
| 1099 |
"step": 78,
|
| 1100 |
"tokens/total": 2361584,
|
| 1101 |
+
"tokens/train_per_sec_per_gpu": 34.8,
|
| 1102 |
"tokens/trainable": 35550
|
| 1103 |
},
|
| 1104 |
{
|
| 1105 |
"epoch": 0.30859375,
|
| 1106 |
+
"grad_norm": 1.1758185625076294,
|
| 1107 |
"learning_rate": 9.739539779705614e-05,
|
| 1108 |
+
"loss": 0.005958402995020151,
|
| 1109 |
"memory/device_reserved (GiB)": 35.98,
|
| 1110 |
"memory/max_active (GiB)": 33.82,
|
| 1111 |
"memory/max_allocated (GiB)": 33.82,
|
| 1112 |
+
"ppl": 1.00598,
|
| 1113 |
"step": 79,
|
| 1114 |
"tokens/total": 2391936,
|
| 1115 |
+
"tokens/train_per_sec_per_gpu": 29.46,
|
| 1116 |
"tokens/trainable": 35977
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 0.3125,
|
| 1120 |
+
"grad_norm": 2.7611470222473145,
|
| 1121 |
"learning_rate": 9.729718877603861e-05,
|
| 1122 |
+
"loss": 0.034006115049123764,
|
| 1123 |
"memory/device_reserved (GiB)": 35.98,
|
| 1124 |
"memory/max_active (GiB)": 33.9,
|
| 1125 |
"memory/max_allocated (GiB)": 33.9,
|
| 1126 |
+
"ppl": 1.03459,
|
| 1127 |
"step": 80,
|
| 1128 |
"tokens/total": 2422432,
|
| 1129 |
+
"tokens/train_per_sec_per_gpu": 38.2,
|
| 1130 |
"tokens/trainable": 36462
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 0.31640625,
|
| 1134 |
+
"grad_norm": 0.017304062843322754,
|
| 1135 |
"learning_rate": 9.719721959634592e-05,
|
| 1136 |
+
"loss": 0.00017258770822081715,
|
| 1137 |
"memory/device_reserved (GiB)": 35.98,
|
| 1138 |
"memory/max_active (GiB)": 33.89,
|
| 1139 |
"memory/max_allocated (GiB)": 33.89,
|
| 1140 |
+
"ppl": 1.00017,
|
| 1141 |
"step": 81,
|
| 1142 |
"tokens/total": 2452752,
|
| 1143 |
+
"tokens/train_per_sec_per_gpu": 33.18,
|
| 1144 |
"tokens/trainable": 36919
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 0.3203125,
|
| 1148 |
+
"grad_norm": 0.6304571032524109,
|
| 1149 |
"learning_rate": 9.709549441810375e-05,
|
| 1150 |
+
"loss": 0.00832848995923996,
|
| 1151 |
"memory/device_reserved (GiB)": 35.98,
|
| 1152 |
"memory/max_active (GiB)": 33.44,
|
| 1153 |
"memory/max_allocated (GiB)": 33.44,
|
| 1154 |
+
"ppl": 1.00836,
|
| 1155 |
"step": 82,
|
| 1156 |
"tokens/total": 2481216,
|
| 1157 |
+
"tokens/train_per_sec_per_gpu": 33.4,
|
| 1158 |
"tokens/trainable": 37379
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 0.32421875,
|
| 1162 |
+
"grad_norm": 0.08372113853693008,
|
| 1163 |
"learning_rate": 9.699201747451195e-05,
|
| 1164 |
+
"loss": 0.0007960593793541193,
|
| 1165 |
"memory/device_reserved (GiB)": 35.98,
|
| 1166 |
"memory/max_active (GiB)": 33.84,
|
| 1167 |
"memory/max_allocated (GiB)": 33.84,
|
| 1168 |
+
"ppl": 1.0008,
|
| 1169 |
"step": 83,
|
| 1170 |
"tokens/total": 2511488,
|
| 1171 |
+
"tokens/train_per_sec_per_gpu": 33.05,
|
| 1172 |
"tokens/trainable": 37832
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 0.328125,
|
| 1176 |
+
"grad_norm": 0.4056459367275238,
|
| 1177 |
"learning_rate": 9.688679307166854e-05,
|
| 1178 |
+
"loss": 0.0015380227705463767,
|
| 1179 |
"memory/device_reserved (GiB)": 35.98,
|
| 1180 |
"memory/max_active (GiB)": 33.86,
|
| 1181 |
"memory/max_allocated (GiB)": 33.86,
|
| 1182 |
+
"ppl": 1.00154,
|
| 1183 |
"step": 84,
|
| 1184 |
"tokens/total": 2541984,
|
| 1185 |
+
"tokens/train_per_sec_per_gpu": 33.87,
|
| 1186 |
"tokens/trainable": 38303
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 0.33203125,
|
| 1190 |
+
"grad_norm": 0.1656680703163147,
|
| 1191 |
"learning_rate": 9.677982558839042e-05,
|
| 1192 |
+
"loss": 0.0007727849297225475,
|
| 1193 |
"memory/device_reserved (GiB)": 35.98,
|
| 1194 |
"memory/max_active (GiB)": 33.69,
|
| 1195 |
"memory/max_allocated (GiB)": 33.69,
|
| 1196 |
+
"ppl": 1.00077,
|
| 1197 |
"step": 85,
|
| 1198 |
"tokens/total": 2572224,
|
| 1199 |
+
"tokens/train_per_sec_per_gpu": 33.62,
|
| 1200 |
"tokens/trainable": 38758
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 0.3359375,
|
| 1204 |
+
"grad_norm": 1.7784565687179565,
|
| 1205 |
"learning_rate": 9.66711194760312e-05,
|
| 1206 |
+
"loss": 0.00887264870107174,
|
| 1207 |
"memory/device_reserved (GiB)": 35.98,
|
| 1208 |
"memory/max_active (GiB)": 33.86,
|
| 1209 |
"memory/max_allocated (GiB)": 33.86,
|
| 1210 |
+
"ppl": 1.00891,
|
| 1211 |
"step": 86,
|
| 1212 |
"tokens/total": 2602704,
|
| 1213 |
+
"tokens/train_per_sec_per_gpu": 30.62,
|
| 1214 |
"tokens/trainable": 39179
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 0.33984375,
|
| 1218 |
+
"grad_norm": 0.6024295687675476,
|
| 1219 |
"learning_rate": 9.656067925829593e-05,
|
| 1220 |
+
"loss": 0.013714440166950226,
|
| 1221 |
"memory/device_reserved (GiB)": 35.98,
|
| 1222 |
"memory/max_active (GiB)": 33.88,
|
| 1223 |
"memory/max_allocated (GiB)": 33.88,
|
| 1224 |
+
"ppl": 1.01381,
|
| 1225 |
"step": 87,
|
| 1226 |
"tokens/total": 2633072,
|
| 1227 |
+
"tokens/train_per_sec_per_gpu": 35.29,
|
| 1228 |
"tokens/trainable": 39679
|
| 1229 |
},
|
| 1230 |
{
|
| 1231 |
"epoch": 0.34375,
|
| 1232 |
+
"grad_norm": 3.774395704269409,
|
| 1233 |
"learning_rate": 9.644850953105288e-05,
|
| 1234 |
+
"loss": 0.021049978211522102,
|
| 1235 |
"memory/device_reserved (GiB)": 35.98,
|
| 1236 |
"memory/max_active (GiB)": 33.73,
|
| 1237 |
"memory/max_allocated (GiB)": 33.73,
|
| 1238 |
+
"ppl": 1.02127,
|
| 1239 |
"step": 88,
|
| 1240 |
"tokens/total": 2663232,
|
| 1241 |
+
"tokens/train_per_sec_per_gpu": 32.65,
|
| 1242 |
"tokens/trainable": 40118
|
| 1243 |
},
|
| 1244 |
{
|
| 1245 |
"epoch": 0.34765625,
|
| 1246 |
+
"grad_norm": 0.20895183086395264,
|
| 1247 |
"learning_rate": 9.633461496214225e-05,
|
| 1248 |
+
"loss": 0.0025408377405256033,
|
| 1249 |
"memory/device_reserved (GiB)": 35.98,
|
| 1250 |
"memory/max_active (GiB)": 33.87,
|
| 1251 |
"memory/max_allocated (GiB)": 33.87,
|
| 1252 |
+
"ppl": 1.00254,
|
| 1253 |
"step": 89,
|
| 1254 |
"tokens/total": 2693696,
|
| 1255 |
+
"tokens/train_per_sec_per_gpu": 32.76,
|
| 1256 |
"tokens/trainable": 40571
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
"epoch": 0.3515625,
|
| 1260 |
+
"grad_norm": 0.3318273425102234,
|
| 1261 |
"learning_rate": 9.621900029118195e-05,
|
| 1262 |
+
"loss": 0.0036354511976242065,
|
| 1263 |
"memory/device_reserved (GiB)": 35.98,
|
| 1264 |
"memory/max_active (GiB)": 33.82,
|
| 1265 |
"memory/max_allocated (GiB)": 33.82,
|
| 1266 |
+
"ppl": 1.00364,
|
| 1267 |
"step": 90,
|
| 1268 |
"tokens/total": 2723984,
|
| 1269 |
+
"tokens/train_per_sec_per_gpu": 30.75,
|
| 1270 |
"tokens/trainable": 40997
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
"epoch": 0.35546875,
|
| 1274 |
+
"grad_norm": 0.44360974431037903,
|
| 1275 |
"learning_rate": 9.610167032937036e-05,
|
| 1276 |
+
"loss": 0.007065630983561277,
|
| 1277 |
"memory/device_reserved (GiB)": 35.98,
|
| 1278 |
"memory/max_active (GiB)": 33.82,
|
| 1279 |
"memory/max_allocated (GiB)": 33.82,
|
| 1280 |
+
"ppl": 1.00709,
|
| 1281 |
"step": 91,
|
| 1282 |
"tokens/total": 2754240,
|
| 1283 |
+
"tokens/train_per_sec_per_gpu": 36.46,
|
| 1284 |
"tokens/trainable": 41462
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 0.359375,
|
| 1288 |
+
"grad_norm": 0.887543797492981,
|
| 1289 |
"learning_rate": 9.598262995928611e-05,
|
| 1290 |
+
"loss": 0.01106376200914383,
|
| 1291 |
"memory/device_reserved (GiB)": 35.98,
|
| 1292 |
"memory/max_active (GiB)": 33.89,
|
| 1293 |
"memory/max_allocated (GiB)": 33.89,
|
| 1294 |
+
"ppl": 1.01113,
|
| 1295 |
"step": 92,
|
| 1296 |
"tokens/total": 2784672,
|
| 1297 |
+
"tokens/train_per_sec_per_gpu": 36.79,
|
| 1298 |
"tokens/trainable": 41927
|
| 1299 |
},
|
| 1300 |
{
|
| 1301 |
"epoch": 0.36328125,
|
| 1302 |
+
"grad_norm": 1.7098511457443237,
|
| 1303 |
"learning_rate": 9.586188413468492e-05,
|
| 1304 |
+
"loss": 0.02100781723856926,
|
| 1305 |
"memory/device_reserved (GiB)": 35.98,
|
| 1306 |
"memory/max_active (GiB)": 33.83,
|
| 1307 |
"memory/max_allocated (GiB)": 33.83,
|
| 1308 |
+
"ppl": 1.02123,
|
| 1309 |
"step": 93,
|
| 1310 |
"tokens/total": 2815120,
|
| 1311 |
+
"tokens/train_per_sec_per_gpu": 34.84,
|
| 1312 |
"tokens/trainable": 42397
|
| 1313 |
},
|
| 1314 |
{
|
| 1315 |
"epoch": 0.3671875,
|
| 1316 |
+
"grad_norm": 0.05345788225531578,
|
| 1317 |
"learning_rate": 9.57394378802934e-05,
|
| 1318 |
+
"loss": 0.0007664336590096354,
|
| 1319 |
"memory/device_reserved (GiB)": 35.98,
|
| 1320 |
"memory/max_active (GiB)": 33.97,
|
| 1321 |
"memory/max_allocated (GiB)": 33.97,
|
| 1322 |
"ppl": 1.00077,
|
| 1323 |
"step": 94,
|
| 1324 |
"tokens/total": 2845600,
|
| 1325 |
+
"tokens/train_per_sec_per_gpu": 36.55,
|
| 1326 |
"tokens/trainable": 42883
|
| 1327 |
},
|
| 1328 |
{
|
| 1329 |
"epoch": 0.37109375,
|
| 1330 |
+
"grad_norm": 0.3566146492958069,
|
| 1331 |
"learning_rate": 9.56152962916e-05,
|
| 1332 |
+
"loss": 0.001947208889760077,
|
| 1333 |
"memory/device_reserved (GiB)": 35.98,
|
| 1334 |
"memory/max_active (GiB)": 33.87,
|
| 1335 |
"memory/max_allocated (GiB)": 33.87,
|
| 1336 |
+
"ppl": 1.00195,
|
| 1337 |
"step": 95,
|
| 1338 |
"tokens/total": 2875952,
|
| 1339 |
+
"tokens/train_per_sec_per_gpu": 38.67,
|
| 1340 |
"tokens/trainable": 43381
|
| 1341 |
},
|
| 1342 |
{
|
| 1343 |
"epoch": 0.375,
|
| 1344 |
+
"grad_norm": 0.6130653023719788,
|
| 1345 |
"learning_rate": 9.548946453464296e-05,
|
| 1346 |
+
"loss": 0.011625099927186966,
|
| 1347 |
"memory/device_reserved (GiB)": 35.98,
|
| 1348 |
"memory/max_active (GiB)": 33.9,
|
| 1349 |
"memory/max_allocated (GiB)": 33.9,
|
| 1350 |
+
"ppl": 1.01169,
|
| 1351 |
"step": 96,
|
| 1352 |
"tokens/total": 2906288,
|
| 1353 |
+
"tokens/train_per_sec_per_gpu": 32.99,
|
| 1354 |
"tokens/trainable": 43824
|
| 1355 |
},
|
| 1356 |
{
|
| 1357 |
"epoch": 0.37890625,
|
| 1358 |
+
"grad_norm": 0.5786341428756714,
|
| 1359 |
"learning_rate": 9.53619478457953e-05,
|
| 1360 |
+
"loss": 0.0046112253330647945,
|
| 1361 |
"memory/device_reserved (GiB)": 35.98,
|
| 1362 |
"memory/max_active (GiB)": 33.89,
|
| 1363 |
"memory/max_allocated (GiB)": 33.89,
|
| 1364 |
+
"ppl": 1.00462,
|
| 1365 |
"step": 97,
|
| 1366 |
"tokens/total": 2936752,
|
| 1367 |
+
"tokens/train_per_sec_per_gpu": 31.51,
|
| 1368 |
"tokens/trainable": 44255
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
"epoch": 0.3828125,
|
| 1372 |
+
"grad_norm": 0.4321880340576172,
|
| 1373 |
"learning_rate": 9.523275153154695e-05,
|
| 1374 |
+
"loss": 0.003710552118718624,
|
| 1375 |
"memory/device_reserved (GiB)": 35.19,
|
| 1376 |
"memory/max_active (GiB)": 33.92,
|
| 1377 |
"memory/max_allocated (GiB)": 33.92,
|
| 1378 |
+
"ppl": 1.00372,
|
| 1379 |
"step": 98,
|
| 1380 |
"tokens/total": 2967072,
|
| 1381 |
+
"tokens/train_per_sec_per_gpu": 37.74,
|
| 1382 |
"tokens/trainable": 44739
|
| 1383 |
},
|
| 1384 |
{
|
| 1385 |
"epoch": 0.38671875,
|
| 1386 |
+
"grad_norm": 0.16571089625358582,
|
| 1387 |
"learning_rate": 9.51018809682839e-05,
|
| 1388 |
+
"loss": 0.00260853860527277,
|
| 1389 |
"memory/device_reserved (GiB)": 35.76,
|
| 1390 |
"memory/max_active (GiB)": 34.03,
|
| 1391 |
"memory/max_allocated (GiB)": 34.03,
|
| 1392 |
+
"ppl": 1.00261,
|
| 1393 |
"step": 99,
|
| 1394 |
"tokens/total": 2997664,
|
| 1395 |
+
"tokens/train_per_sec_per_gpu": 36.2,
|
| 1396 |
"tokens/trainable": 45202
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
"epoch": 0.390625,
|
| 1400 |
+
"grad_norm": 0.4386274516582489,
|
| 1401 |
"learning_rate": 9.49693416020645e-05,
|
| 1402 |
+
"loss": 0.005652088671922684,
|
| 1403 |
"memory/device_reserved (GiB)": 35.99,
|
| 1404 |
"memory/max_active (GiB)": 33.88,
|
| 1405 |
"memory/max_allocated (GiB)": 33.88,
|
| 1406 |
+
"ppl": 1.00567,
|
| 1407 |
"step": 100,
|
| 1408 |
"tokens/total": 3028032,
|
| 1409 |
+
"tokens/train_per_sec_per_gpu": 33.05,
|
| 1410 |
"tokens/trainable": 45646
|
| 1411 |
},
|
| 1412 |
{
|
| 1413 |
"epoch": 0.39453125,
|
| 1414 |
+
"grad_norm": 0.12225741147994995,
|
| 1415 |
"learning_rate": 9.483513894839276e-05,
|
| 1416 |
+
"loss": 0.0015262231463566422,
|
| 1417 |
"memory/device_reserved (GiB)": 35.99,
|
| 1418 |
"memory/max_active (GiB)": 33.82,
|
| 1419 |
"memory/max_allocated (GiB)": 33.82,
|
| 1420 |
+
"ppl": 1.00153,
|
| 1421 |
"step": 101,
|
| 1422 |
"tokens/total": 3058272,
|
| 1423 |
+
"tokens/train_per_sec_per_gpu": 33.08,
|
| 1424 |
"tokens/trainable": 46089
|
| 1425 |
},
|
| 1426 |
{
|
| 1427 |
"epoch": 0.3984375,
|
| 1428 |
+
"grad_norm": 0.779109537601471,
|
| 1429 |
"learning_rate": 9.469927859198888e-05,
|
| 1430 |
+
"loss": 0.007584188133478165,
|
| 1431 |
"memory/device_reserved (GiB)": 35.99,
|
| 1432 |
"memory/max_active (GiB)": 33.89,
|
| 1433 |
"memory/max_allocated (GiB)": 33.89,
|
| 1434 |
+
"ppl": 1.00761,
|
| 1435 |
"step": 102,
|
| 1436 |
"tokens/total": 3088848,
|
| 1437 |
+
"tokens/train_per_sec_per_gpu": 32.55,
|
| 1438 |
"tokens/trainable": 46547
|
| 1439 |
},
|
| 1440 |
{
|
| 1441 |
"epoch": 0.40234375,
|
| 1442 |
+
"grad_norm": 0.19508829712867737,
|
| 1443 |
"learning_rate": 9.456176618655689e-05,
|
| 1444 |
+
"loss": 0.0021933168172836304,
|
| 1445 |
"memory/device_reserved (GiB)": 35.99,
|
| 1446 |
"memory/max_active (GiB)": 33.91,
|
| 1447 |
"memory/max_allocated (GiB)": 33.91,
|
| 1448 |
+
"ppl": 1.0022,
|
| 1449 |
"step": 103,
|
| 1450 |
"tokens/total": 3119424,
|
| 1451 |
+
"tokens/train_per_sec_per_gpu": 31.96,
|
| 1452 |
"tokens/trainable": 47014
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
"epoch": 0.40625,
|
| 1456 |
+
"grad_norm": 0.349365770816803,
|
| 1457 |
"learning_rate": 9.442260745454927e-05,
|
| 1458 |
+
"loss": 0.007655802182853222,
|
| 1459 |
"memory/device_reserved (GiB)": 36.0,
|
| 1460 |
"memory/max_active (GiB)": 33.81,
|
| 1461 |
"memory/max_allocated (GiB)": 33.81,
|
| 1462 |
+
"ppl": 1.00769,
|
| 1463 |
"step": 104,
|
| 1464 |
"tokens/total": 3149696,
|
| 1465 |
+
"tokens/train_per_sec_per_gpu": 37.71,
|
| 1466 |
"tokens/trainable": 47503
|
| 1467 |
},
|
| 1468 |
{
|
| 1469 |
"epoch": 0.41015625,
|
| 1470 |
+
"grad_norm": 0.3205769956111908,
|
| 1471 |
"learning_rate": 9.428180818692884e-05,
|
| 1472 |
+
"loss": 0.0014675151323899627,
|
| 1473 |
"memory/device_reserved (GiB)": 36.0,
|
| 1474 |
"memory/max_active (GiB)": 33.83,
|
| 1475 |
"memory/max_allocated (GiB)": 33.83,
|
| 1476 |
+
"ppl": 1.00147,
|
| 1477 |
"step": 105,
|
| 1478 |
"tokens/total": 3180064,
|
| 1479 |
+
"tokens/train_per_sec_per_gpu": 36.27,
|
| 1480 |
"tokens/trainable": 47996
|
| 1481 |
},
|
| 1482 |
{
|
| 1483 |
"epoch": 0.4140625,
|
| 1484 |
+
"grad_norm": 0.23203934729099274,
|
| 1485 |
"learning_rate": 9.413937424292791e-05,
|
| 1486 |
+
"loss": 0.001969895325601101,
|
| 1487 |
"memory/device_reserved (GiB)": 36.0,
|
| 1488 |
"memory/max_active (GiB)": 33.39,
|
| 1489 |
"memory/max_allocated (GiB)": 33.39,
|
| 1490 |
+
"ppl": 1.00197,
|
| 1491 |
"step": 106,
|
| 1492 |
"tokens/total": 3208320,
|
| 1493 |
+
"tokens/train_per_sec_per_gpu": 34.06,
|
| 1494 |
"tokens/trainable": 48447
|
| 1495 |
},
|
| 1496 |
{
|
| 1497 |
"epoch": 0.41796875,
|
| 1498 |
+
"grad_norm": 0.050742585211992264,
|
| 1499 |
"learning_rate": 9.399531154980424e-05,
|
| 1500 |
+
"loss": 0.00028503642533905804,
|
| 1501 |
"memory/device_reserved (GiB)": 36.0,
|
| 1502 |
"memory/max_active (GiB)": 33.74,
|
| 1503 |
"memory/max_allocated (GiB)": 33.74,
|
| 1504 |
+
"ppl": 1.00029,
|
| 1505 |
"step": 107,
|
| 1506 |
"tokens/total": 3238416,
|
| 1507 |
+
"tokens/train_per_sec_per_gpu": 30.69,
|
| 1508 |
"tokens/trainable": 48889
|
| 1509 |
},
|
| 1510 |
{
|
| 1511 |
"epoch": 0.421875,
|
| 1512 |
+
"grad_norm": 0.68248450756073,
|
| 1513 |
"learning_rate": 9.384962610259455e-05,
|
| 1514 |
+
"loss": 0.0026741819456219673,
|
| 1515 |
"memory/device_reserved (GiB)": 36.0,
|
| 1516 |
"memory/max_active (GiB)": 33.82,
|
| 1517 |
"memory/max_allocated (GiB)": 33.82,
|
| 1518 |
+
"ppl": 1.00268,
|
| 1519 |
"step": 108,
|
| 1520 |
"tokens/total": 3268784,
|
| 1521 |
+
"tokens/train_per_sec_per_gpu": 37.89,
|
| 1522 |
"tokens/trainable": 49360
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
"epoch": 0.42578125,
|
| 1526 |
+
"grad_norm": 0.2664353549480438,
|
| 1527 |
"learning_rate": 9.370232396386494e-05,
|
| 1528 |
+
"loss": 0.0014279462629929185,
|
| 1529 |
"memory/device_reserved (GiB)": 36.0,
|
| 1530 |
"memory/max_active (GiB)": 33.79,
|
| 1531 |
"memory/max_allocated (GiB)": 33.79,
|
| 1532 |
+
"ppl": 1.00143,
|
| 1533 |
"step": 109,
|
| 1534 |
"tokens/total": 3298912,
|
| 1535 |
+
"tokens/train_per_sec_per_gpu": 36.78,
|
| 1536 |
"tokens/trainable": 49827
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
"epoch": 0.4296875,
|
| 1540 |
+
"grad_norm": 0.12221308797597885,
|
| 1541 |
"learning_rate": 9.355341126345868e-05,
|
| 1542 |
+
"loss": 0.0007402317132800817,
|
| 1543 |
"memory/device_reserved (GiB)": 36.0,
|
| 1544 |
"memory/max_active (GiB)": 33.99,
|
| 1545 |
"memory/max_allocated (GiB)": 33.99,
|
| 1546 |
+
"ppl": 1.00074,
|
| 1547 |
"step": 110,
|
| 1548 |
"tokens/total": 3329232,
|
| 1549 |
+
"tokens/train_per_sec_per_gpu": 34.31,
|
| 1550 |
"tokens/trainable": 50267
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 0.43359375,
|
| 1554 |
+
"grad_norm": 1.2223896980285645,
|
| 1555 |
"learning_rate": 9.340289419824107e-05,
|
| 1556 |
+
"loss": 0.020261401310563087,
|
| 1557 |
"memory/device_reserved (GiB)": 36.0,
|
| 1558 |
"memory/max_active (GiB)": 33.8,
|
| 1559 |
"memory/max_allocated (GiB)": 33.8,
|
| 1560 |
+
"ppl": 1.02047,
|
| 1561 |
"step": 111,
|
| 1562 |
"tokens/total": 3359440,
|
| 1563 |
+
"tokens/train_per_sec_per_gpu": 33.41,
|
| 1564 |
"tokens/trainable": 50711
|
| 1565 |
},
|
| 1566 |
{
|
| 1567 |
"epoch": 0.4375,
|
| 1568 |
+
"grad_norm": 1.2567111253738403,
|
| 1569 |
"learning_rate": 9.325077903184159e-05,
|
| 1570 |
+
"loss": 0.012774579226970673,
|
| 1571 |
"memory/device_reserved (GiB)": 36.0,
|
| 1572 |
"memory/max_active (GiB)": 33.74,
|
| 1573 |
"memory/max_allocated (GiB)": 33.74,
|
| 1574 |
+
"ppl": 1.01286,
|
| 1575 |
"step": 112,
|
| 1576 |
"tokens/total": 3389472,
|
| 1577 |
+
"tokens/train_per_sec_per_gpu": 31.59,
|
| 1578 |
"tokens/trainable": 51157
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 0.44140625,
|
| 1582 |
+
"grad_norm": 0.8144268989562988,
|
| 1583 |
"learning_rate": 9.30970720943932e-05,
|
| 1584 |
+
"loss": 0.005420445930212736,
|
| 1585 |
"memory/device_reserved (GiB)": 36.0,
|
| 1586 |
"memory/max_active (GiB)": 33.9,
|
| 1587 |
"memory/max_allocated (GiB)": 33.9,
|
| 1588 |
+
"ppl": 1.00544,
|
| 1589 |
"step": 113,
|
| 1590 |
"tokens/total": 3419920,
|
| 1591 |
+
"tokens/train_per_sec_per_gpu": 32.71,
|
| 1592 |
"tokens/trainable": 51613
|
| 1593 |
},
|
| 1594 |
{
|
| 1595 |
"epoch": 0.4453125,
|
| 1596 |
+
"grad_norm": 1.3511962890625,
|
| 1597 |
"learning_rate": 9.2941779782269e-05,
|
| 1598 |
+
"loss": 0.004596072714775801,
|
| 1599 |
"memory/device_reserved (GiB)": 36.0,
|
| 1600 |
"memory/max_active (GiB)": 33.78,
|
| 1601 |
"memory/max_allocated (GiB)": 33.78,
|
| 1602 |
+
"ppl": 1.00461,
|
| 1603 |
"step": 114,
|
| 1604 |
"tokens/total": 3450176,
|
| 1605 |
+
"tokens/train_per_sec_per_gpu": 29.1,
|
| 1606 |
"tokens/trainable": 52017
|
| 1607 |
},
|
| 1608 |
{
|
| 1609 |
"epoch": 0.44921875,
|
| 1610 |
+
"grad_norm": 2.76552677154541,
|
| 1611 |
"learning_rate": 9.278490855781596e-05,
|
| 1612 |
+
"loss": 0.005162997171282768,
|
| 1613 |
"memory/device_reserved (GiB)": 36.0,
|
| 1614 |
"memory/max_active (GiB)": 33.87,
|
| 1615 |
"memory/max_allocated (GiB)": 33.87,
|
| 1616 |
+
"ppl": 1.00518,
|
| 1617 |
"step": 115,
|
| 1618 |
"tokens/total": 3480544,
|
| 1619 |
+
"tokens/train_per_sec_per_gpu": 36.22,
|
| 1620 |
"tokens/trainable": 52506
|
| 1621 |
},
|
| 1622 |
{
|
| 1623 |
"epoch": 0.453125,
|
| 1624 |
+
"grad_norm": 1.7830004692077637,
|
| 1625 |
"learning_rate": 9.262646494908604e-05,
|
| 1626 |
+
"loss": 0.024823248386383057,
|
| 1627 |
"memory/device_reserved (GiB)": 36.0,
|
| 1628 |
"memory/max_active (GiB)": 33.81,
|
| 1629 |
"memory/max_allocated (GiB)": 33.81,
|
| 1630 |
+
"ppl": 1.02513,
|
| 1631 |
"step": 116,
|
| 1632 |
"tokens/total": 3510848,
|
| 1633 |
+
"tokens/train_per_sec_per_gpu": 38.63,
|
| 1634 |
"tokens/trainable": 53008
|
| 1635 |
},
|
| 1636 |
{
|
| 1637 |
"epoch": 0.45703125,
|
| 1638 |
+
"grad_norm": 0.8680487275123596,
|
| 1639 |
"learning_rate": 9.246645554956457e-05,
|
| 1640 |
+
"loss": 0.012252703309059143,
|
| 1641 |
"memory/device_reserved (GiB)": 36.0,
|
| 1642 |
"memory/max_active (GiB)": 33.96,
|
| 1643 |
"memory/max_allocated (GiB)": 33.96,
|
| 1644 |
+
"ppl": 1.01233,
|
| 1645 |
"step": 117,
|
| 1646 |
"tokens/total": 3541296,
|
| 1647 |
+
"tokens/train_per_sec_per_gpu": 35.36,
|
| 1648 |
"tokens/trainable": 53467
|
| 1649 |
},
|
| 1650 |
{
|
| 1651 |
"epoch": 0.4609375,
|
| 1652 |
+
"grad_norm": 0.8030971884727478,
|
| 1653 |
"learning_rate": 9.230488701789578e-05,
|
| 1654 |
+
"loss": 0.01154071744531393,
|
| 1655 |
"memory/device_reserved (GiB)": 36.0,
|
| 1656 |
"memory/max_active (GiB)": 33.97,
|
| 1657 |
"memory/max_allocated (GiB)": 33.97,
|
| 1658 |
+
"ppl": 1.01161,
|
| 1659 |
"step": 118,
|
| 1660 |
"tokens/total": 3571936,
|
| 1661 |
+
"tokens/train_per_sec_per_gpu": 32.8,
|
| 1662 |
"tokens/trainable": 53923
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
"epoch": 0.46484375,
|
| 1666 |
+
"grad_norm": 1.1320112943649292,
|
| 1667 |
"learning_rate": 9.214176607760577e-05,
|
| 1668 |
+
"loss": 0.00475259218364954,
|
| 1669 |
"memory/device_reserved (GiB)": 36.0,
|
| 1670 |
"memory/max_active (GiB)": 33.79,
|
| 1671 |
"memory/max_allocated (GiB)": 33.79,
|
| 1672 |
+
"ppl": 1.00476,
|
| 1673 |
"step": 119,
|
| 1674 |
"tokens/total": 3602000,
|
| 1675 |
"tokens/train_per_sec_per_gpu": 35.58,
|
|
|
|
| 1677 |
},
|
| 1678 |
{
|
| 1679 |
"epoch": 0.46875,
|
| 1680 |
+
"grad_norm": 0.25778594613075256,
|
| 1681 |
"learning_rate": 9.197709951682268e-05,
|
| 1682 |
+
"loss": 0.00691817793995142,
|
| 1683 |
"memory/device_reserved (GiB)": 36.0,
|
| 1684 |
"memory/max_active (GiB)": 33.81,
|
| 1685 |
"memory/max_allocated (GiB)": 33.81,
|
| 1686 |
+
"ppl": 1.00694,
|
| 1687 |
"step": 120,
|
| 1688 |
"tokens/total": 3632288,
|
| 1689 |
+
"tokens/train_per_sec_per_gpu": 35.18,
|
| 1690 |
"tokens/trainable": 54839
|
| 1691 |
},
|
| 1692 |
{
|
| 1693 |
"epoch": 0.47265625,
|
| 1694 |
+
"grad_norm": 0.3193860948085785,
|
| 1695 |
"learning_rate": 9.181089418799428e-05,
|
| 1696 |
+
"loss": 0.0037792143411934376,
|
| 1697 |
"memory/device_reserved (GiB)": 36.0,
|
| 1698 |
"memory/max_active (GiB)": 33.82,
|
| 1699 |
"memory/max_allocated (GiB)": 33.82,
|
| 1700 |
+
"ppl": 1.00379,
|
| 1701 |
"step": 121,
|
| 1702 |
"tokens/total": 3662608,
|
| 1703 |
+
"tokens/train_per_sec_per_gpu": 32.59,
|
| 1704 |
"tokens/trainable": 55267
|
| 1705 |
},
|
| 1706 |
{
|
| 1707 |
"epoch": 0.4765625,
|
| 1708 |
+
"grad_norm": 0.34393274784088135,
|
| 1709 |
"learning_rate": 9.164315700760271e-05,
|
| 1710 |
+
"loss": 0.0042166681960225105,
|
| 1711 |
"memory/device_reserved (GiB)": 36.0,
|
| 1712 |
"memory/max_active (GiB)": 33.77,
|
| 1713 |
"memory/max_allocated (GiB)": 33.77,
|
| 1714 |
+
"ppl": 1.00423,
|
| 1715 |
"step": 122,
|
| 1716 |
"tokens/total": 3692864,
|
| 1717 |
+
"tokens/train_per_sec_per_gpu": 30.52,
|
| 1718 |
"tokens/trainable": 55700
|
| 1719 |
},
|
| 1720 |
{
|
| 1721 |
"epoch": 0.48046875,
|
| 1722 |
+
"grad_norm": 0.4916401505470276,
|
| 1723 |
"learning_rate": 9.147389495587671e-05,
|
| 1724 |
+
"loss": 0.0038735629059374332,
|
| 1725 |
"memory/device_reserved (GiB)": 36.0,
|
| 1726 |
"memory/max_active (GiB)": 33.73,
|
| 1727 |
"memory/max_allocated (GiB)": 33.73,
|
| 1728 |
+
"ppl": 1.00388,
|
| 1729 |
"step": 123,
|
| 1730 |
"tokens/total": 3722864,
|
| 1731 |
+
"tokens/train_per_sec_per_gpu": 33.39,
|
| 1732 |
"tokens/trainable": 56144
|
| 1733 |
},
|
| 1734 |
{
|
| 1735 |
"epoch": 0.484375,
|
| 1736 |
+
"grad_norm": 0.39921140670776367,
|
| 1737 |
"learning_rate": 9.130311507650116e-05,
|
| 1738 |
+
"loss": 0.004010441247373819,
|
| 1739 |
"memory/device_reserved (GiB)": 36.0,
|
| 1740 |
"memory/max_active (GiB)": 33.77,
|
| 1741 |
"memory/max_allocated (GiB)": 33.77,
|
| 1742 |
+
"ppl": 1.00402,
|
| 1743 |
"step": 124,
|
| 1744 |
"tokens/total": 3753056,
|
| 1745 |
+
"tokens/train_per_sec_per_gpu": 33.12,
|
| 1746 |
"tokens/trainable": 56589
|
| 1747 |
},
|
| 1748 |
{
|
| 1749 |
"epoch": 0.48828125,
|
| 1750 |
+
"grad_norm": 0.4556286633014679,
|
| 1751 |
"learning_rate": 9.113082447632394e-05,
|
| 1752 |
+
"loss": 0.005605827085673809,
|
| 1753 |
"memory/device_reserved (GiB)": 36.0,
|
| 1754 |
"memory/max_active (GiB)": 33.82,
|
| 1755 |
"memory/max_allocated (GiB)": 33.82,
|
| 1756 |
+
"ppl": 1.00562,
|
| 1757 |
"step": 125,
|
| 1758 |
"tokens/total": 3783312,
|
| 1759 |
+
"tokens/train_per_sec_per_gpu": 36.68,
|
| 1760 |
"tokens/trainable": 57081
|
| 1761 |
},
|
| 1762 |
{
|
| 1763 |
"epoch": 0.4921875,
|
| 1764 |
+
"grad_norm": 0.041882507503032684,
|
| 1765 |
"learning_rate": 9.09570303250602e-05,
|
| 1766 |
+
"loss": 0.0005784470704384148,
|
| 1767 |
"memory/device_reserved (GiB)": 36.0,
|
| 1768 |
"memory/max_active (GiB)": 33.88,
|
| 1769 |
"memory/max_allocated (GiB)": 33.88,
|
| 1770 |
+
"ppl": 1.00058,
|
| 1771 |
"step": 126,
|
| 1772 |
"tokens/total": 3813712,
|
| 1773 |
+
"tokens/train_per_sec_per_gpu": 32.87,
|
| 1774 |
"tokens/trainable": 57527
|
| 1775 |
},
|
| 1776 |
{
|
| 1777 |
"epoch": 0.49609375,
|
| 1778 |
+
"grad_norm": 0.21823598444461823,
|
| 1779 |
"learning_rate": 9.078173985499394e-05,
|
| 1780 |
+
"loss": 0.0024290401488542557,
|
| 1781 |
"memory/device_reserved (GiB)": 36.0,
|
| 1782 |
"memory/max_active (GiB)": 33.94,
|
| 1783 |
"memory/max_allocated (GiB)": 33.94,
|
| 1784 |
+
"ppl": 1.00243,
|
| 1785 |
"step": 127,
|
| 1786 |
"tokens/total": 3844336,
|
| 1787 |
+
"tokens/train_per_sec_per_gpu": 34.84,
|
| 1788 |
"tokens/trainable": 58005
|
| 1789 |
},
|
| 1790 |
{
|
| 1791 |
"epoch": 0.5,
|
| 1792 |
+
"grad_norm": 0.4637400209903717,
|
| 1793 |
"learning_rate": 9.060496036067713e-05,
|
| 1794 |
+
"loss": 0.001603663433343172,
|
| 1795 |
"memory/device_reserved (GiB)": 36.0,
|
| 1796 |
"memory/max_active (GiB)": 33.39,
|
| 1797 |
"memory/max_allocated (GiB)": 33.39,
|
| 1798 |
+
"ppl": 1.0016,
|
| 1799 |
"step": 128,
|
| 1800 |
"tokens/total": 3872688,
|
| 1801 |
"tokens/train_per_sec_per_gpu": 35.21,
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0ec2fda759f4acc2d571f1aa01cddeb7e652ae76a2192764fa3f484ad747b2d
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f42e923d88dd4678850893eda2d5c85346f6cb58ddcb4bc4381e248f7c253215
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-160/trainer_state.json
CHANGED
|
@@ -11,7 +11,7 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
-
"grad_norm": 1.
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
@@ -20,12 +20,12 @@
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
-
"tokens/train_per_sec_per_gpu":
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
-
"grad_norm": 1.
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
@@ -34,326 +34,326 @@
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
-
"grad_norm":
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
-
"loss": 0.
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
-
"ppl": 1.
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
-
"grad_norm": 1.
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
-
"loss": 0.
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
-
"ppl": 1.
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
-
"grad_norm": 1.
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
-
"loss": 0.
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
-
"ppl": 1.
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
-
"grad_norm":
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
-
"loss": 0.
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
-
"ppl": 1.
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
-
"loss": 0.
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
-
"ppl": 1.
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
-
"grad_norm":
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
-
"loss": 0.
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
-
"ppl": 1.
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
-
"grad_norm":
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
-
"loss": 0.
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
-
"ppl": 1.
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
-
"grad_norm":
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
-
"loss": 0.
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
-
"ppl": 1.
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
-
"grad_norm":
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
-
"loss": 0.
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
-
"ppl": 1.
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
-
"grad_norm":
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
-
"loss": 0.
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
-
"ppl": 1.
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
-
"grad_norm":
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
-
"loss": 0.
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
-
"ppl": 1.
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
-
"grad_norm": 1.
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
-
"loss": 0.
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
-
"ppl": 1.
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
-
"grad_norm":
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
-
"loss": 0.
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
-
"ppl": 1.
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
-
"grad_norm":
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
-
"loss": 0.
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
-
"ppl": 1.
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
-
"tokens/train_per_sec_per_gpu":
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
-
"grad_norm":
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
-
"loss": 0.
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
-
"ppl": 1.
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
-
"grad_norm":
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
-
"loss": 0.
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
-
"ppl": 1.
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
-
"tokens/train_per_sec_per_gpu":
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
-
"grad_norm": 0.
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
-
"loss": 0.
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
-
"ppl": 1.
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
-
"grad_norm": 1.
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
-
"loss": 0.
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
-
"ppl": 1.
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
-
"tokens/train_per_sec_per_gpu": 39.
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
-
"grad_norm": 0.
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
-
"loss": 0.
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
-
"ppl": 1.
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
-
"grad_norm":
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
-
"loss": 0.
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
-
"ppl": 1.
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
-
"grad_norm": 0.
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
-
"loss": 0.
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
-
"ppl": 1.
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
-
"tokens/train_per_sec_per_gpu":
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
-
"grad_norm": 0.
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
-
"loss": 0.
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
-
"ppl": 1.
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
-
"grad_norm":
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
-
"loss": 0.
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
-
"ppl": 1.
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
@@ -361,125 +361,125 @@
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
-
"grad_norm": 0.
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
-
"loss": 0.
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
-
"ppl": 1.
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
-
"grad_norm":
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
-
"loss": 0.
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
-
"ppl": 1.
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
-
"grad_norm": 1.
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
-
"loss": 0.
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
-
"ppl": 1.
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
-
"grad_norm":
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
-
"loss": 0.
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
-
"ppl": 1.
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
-
"grad_norm": 1.
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
-
"loss": 0.
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
-
"ppl": 1.
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
-
"grad_norm":
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
-
"loss": 0.
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
-
"ppl": 1.
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
-
"tokens/train_per_sec_per_gpu":
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
-
"grad_norm": 0.
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
-
"loss": 0.
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
-
"ppl": 1.
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 0.12890625,
|
| 462 |
-
"grad_norm": 0.
|
| 463 |
"learning_rate": 9.995412811123711e-05,
|
| 464 |
-
"loss": 0.
|
| 465 |
"memory/device_reserved (GiB)": 37.82,
|
| 466 |
"memory/max_active (GiB)": 33.95,
|
| 467 |
"memory/max_allocated (GiB)": 33.95,
|
| 468 |
-
"ppl": 1.
|
| 469 |
"step": 33,
|
| 470 |
"tokens/total": 999792,
|
| 471 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 472 |
"tokens/trainable": 15087
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 0.1328125,
|
| 476 |
-
"grad_norm": 0.
|
| 477 |
"learning_rate": 9.994008881295999e-05,
|
| 478 |
-
"loss": 0.
|
| 479 |
"memory/device_reserved (GiB)": 35.48,
|
| 480 |
"memory/max_active (GiB)": 33.77,
|
| 481 |
"memory/max_allocated (GiB)": 33.77,
|
| 482 |
-
"ppl": 1.
|
| 483 |
"step": 34,
|
| 484 |
"tokens/total": 1029840,
|
| 485 |
"tokens/train_per_sec_per_gpu": 33.81,
|
|
@@ -487,223 +487,223 @@
|
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.13671875,
|
| 490 |
-
"grad_norm": 0.
|
| 491 |
"learning_rate": 9.992417937414932e-05,
|
| 492 |
-
"loss": 0.
|
| 493 |
"memory/device_reserved (GiB)": 35.48,
|
| 494 |
"memory/max_active (GiB)": 33.9,
|
| 495 |
"memory/max_allocated (GiB)": 33.9,
|
| 496 |
-
"ppl": 1.
|
| 497 |
"step": 35,
|
| 498 |
"tokens/total": 1060416,
|
| 499 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 500 |
"tokens/trainable": 16037
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 0.140625,
|
| 504 |
-
"grad_norm": 0.
|
| 505 |
"learning_rate": 9.99064004568618e-05,
|
| 506 |
-
"loss": 0.
|
| 507 |
"memory/device_reserved (GiB)": 35.48,
|
| 508 |
"memory/max_active (GiB)": 33.72,
|
| 509 |
"memory/max_allocated (GiB)": 33.72,
|
| 510 |
-
"ppl": 1.
|
| 511 |
"step": 36,
|
| 512 |
"tokens/total": 1090464,
|
| 513 |
-
"tokens/train_per_sec_per_gpu":
|
| 514 |
"tokens/trainable": 16475
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 0.14453125,
|
| 518 |
-
"grad_norm": 0.
|
| 519 |
"learning_rate": 9.988675280095074e-05,
|
| 520 |
-
"loss": 0.
|
| 521 |
"memory/device_reserved (GiB)": 35.86,
|
| 522 |
"memory/max_active (GiB)": 33.93,
|
| 523 |
"memory/max_allocated (GiB)": 33.93,
|
| 524 |
-
"ppl": 1.
|
| 525 |
"step": 37,
|
| 526 |
"tokens/total": 1120944,
|
| 527 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 528 |
"tokens/trainable": 16919
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 0.1484375,
|
| 532 |
-
"grad_norm":
|
| 533 |
"learning_rate": 9.986523722403528e-05,
|
| 534 |
-
"loss": 0.
|
| 535 |
"memory/device_reserved (GiB)": 35.86,
|
| 536 |
"memory/max_active (GiB)": 33.87,
|
| 537 |
"memory/max_allocated (GiB)": 33.87,
|
| 538 |
-
"ppl": 1.
|
| 539 |
"step": 38,
|
| 540 |
"tokens/total": 1151360,
|
| 541 |
-
"tokens/train_per_sec_per_gpu": 28.
|
| 542 |
"tokens/trainable": 17333
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 0.15234375,
|
| 546 |
-
"grad_norm": 0.
|
| 547 |
"learning_rate": 9.984185462146642e-05,
|
| 548 |
-
"loss": 0.
|
| 549 |
"memory/device_reserved (GiB)": 35.86,
|
| 550 |
"memory/max_active (GiB)": 33.9,
|
| 551 |
"memory/max_allocated (GiB)": 33.9,
|
| 552 |
-
"ppl": 1.
|
| 553 |
"step": 39,
|
| 554 |
"tokens/total": 1181728,
|
| 555 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 556 |
"tokens/trainable": 17806
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 0.15625,
|
| 560 |
-
"grad_norm": 0.
|
| 561 |
"learning_rate": 9.98166059662897e-05,
|
| 562 |
-
"loss": 0.
|
| 563 |
"memory/device_reserved (GiB)": 35.86,
|
| 564 |
"memory/max_active (GiB)": 33.83,
|
| 565 |
"memory/max_allocated (GiB)": 33.83,
|
| 566 |
-
"ppl": 1.
|
| 567 |
"step": 40,
|
| 568 |
"tokens/total": 1212064,
|
| 569 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 570 |
"tokens/trainable": 18290
|
| 571 |
},
|
| 572 |
{
|
| 573 |
"epoch": 0.16015625,
|
| 574 |
-
"grad_norm": 0.
|
| 575 |
"learning_rate": 9.978949230920472e-05,
|
| 576 |
-
"loss": 0.
|
| 577 |
"memory/device_reserved (GiB)": 35.88,
|
| 578 |
"memory/max_active (GiB)": 33.97,
|
| 579 |
"memory/max_allocated (GiB)": 33.97,
|
| 580 |
-
"ppl": 1.
|
| 581 |
"step": 41,
|
| 582 |
"tokens/total": 1242592,
|
| 583 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 584 |
"tokens/trainable": 18747
|
| 585 |
},
|
| 586 |
{
|
| 587 |
"epoch": 0.1640625,
|
| 588 |
-
"grad_norm": 1.
|
| 589 |
"learning_rate": 9.976051477852141e-05,
|
| 590 |
-
"loss": 0.
|
| 591 |
"memory/device_reserved (GiB)": 35.88,
|
| 592 |
"memory/max_active (GiB)": 33.81,
|
| 593 |
"memory/max_allocated (GiB)": 33.81,
|
| 594 |
-
"ppl": 1.
|
| 595 |
"step": 42,
|
| 596 |
"tokens/total": 1272800,
|
| 597 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 598 |
"tokens/trainable": 19172
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"epoch": 0.16796875,
|
| 602 |
-
"grad_norm":
|
| 603 |
"learning_rate": 9.972967458011312e-05,
|
| 604 |
-
"loss": 0.
|
| 605 |
"memory/device_reserved (GiB)": 36.03,
|
| 606 |
"memory/max_active (GiB)": 34.04,
|
| 607 |
"memory/max_allocated (GiB)": 34.04,
|
| 608 |
-
"ppl": 1.
|
| 609 |
"step": 43,
|
| 610 |
"tokens/total": 1303600,
|
| 611 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 612 |
"tokens/trainable": 19622
|
| 613 |
},
|
| 614 |
{
|
| 615 |
"epoch": 0.171875,
|
| 616 |
-
"grad_norm": 0.
|
| 617 |
"learning_rate": 9.96969729973664e-05,
|
| 618 |
-
"loss": 0.
|
| 619 |
"memory/device_reserved (GiB)": 36.03,
|
| 620 |
"memory/max_active (GiB)": 33.81,
|
| 621 |
"memory/max_allocated (GiB)": 33.81,
|
| 622 |
-
"ppl": 1.
|
| 623 |
"step": 44,
|
| 624 |
"tokens/total": 1333936,
|
| 625 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 626 |
"tokens/trainable": 20073
|
| 627 |
},
|
| 628 |
{
|
| 629 |
"epoch": 0.17578125,
|
| 630 |
-
"grad_norm":
|
| 631 |
"learning_rate": 9.966241139112754e-05,
|
| 632 |
-
"loss": 0.
|
| 633 |
"memory/device_reserved (GiB)": 36.03,
|
| 634 |
"memory/max_active (GiB)": 33.9,
|
| 635 |
"memory/max_allocated (GiB)": 33.9,
|
| 636 |
-
"ppl": 1.
|
| 637 |
"step": 45,
|
| 638 |
"tokens/total": 1364288,
|
| 639 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 640 |
"tokens/trainable": 20497
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"epoch": 0.1796875,
|
| 644 |
-
"grad_norm": 0.
|
| 645 |
"learning_rate": 9.96259911996461e-05,
|
| 646 |
-
"loss": 0.
|
| 647 |
"memory/device_reserved (GiB)": 36.03,
|
| 648 |
"memory/max_active (GiB)": 33.82,
|
| 649 |
"memory/max_allocated (GiB)": 33.82,
|
| 650 |
-
"ppl": 1.
|
| 651 |
"step": 46,
|
| 652 |
"tokens/total": 1394368,
|
| 653 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 654 |
"tokens/trainable": 20940
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.18359375,
|
| 658 |
-
"grad_norm": 0.
|
| 659 |
"learning_rate": 9.958771393851491e-05,
|
| 660 |
-
"loss": 0.
|
| 661 |
"memory/device_reserved (GiB)": 36.15,
|
| 662 |
"memory/max_active (GiB)": 33.98,
|
| 663 |
"memory/max_allocated (GiB)": 33.98,
|
| 664 |
-
"ppl": 1.
|
| 665 |
"step": 47,
|
| 666 |
"tokens/total": 1425024,
|
| 667 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 668 |
"tokens/trainable": 21405
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 0.1875,
|
| 672 |
-
"grad_norm": 0.
|
| 673 |
"learning_rate": 9.954758120060702e-05,
|
| 674 |
-
"loss": 0.
|
| 675 |
"memory/device_reserved (GiB)": 36.15,
|
| 676 |
"memory/max_active (GiB)": 33.86,
|
| 677 |
"memory/max_allocated (GiB)": 33.86,
|
| 678 |
-
"ppl": 1.
|
| 679 |
"step": 48,
|
| 680 |
"tokens/total": 1455392,
|
| 681 |
-
"tokens/train_per_sec_per_gpu":
|
| 682 |
"tokens/trainable": 21828
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 0.19140625,
|
| 686 |
-
"grad_norm":
|
| 687 |
"learning_rate": 9.950559465600948e-05,
|
| 688 |
-
"loss": 0.
|
| 689 |
"memory/device_reserved (GiB)": 36.15,
|
| 690 |
"memory/max_active (GiB)": 33.88,
|
| 691 |
"memory/max_allocated (GiB)": 33.88,
|
| 692 |
-
"ppl": 1.
|
| 693 |
"step": 49,
|
| 694 |
"tokens/total": 1485616,
|
| 695 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 696 |
"tokens/trainable": 22241
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"epoch": 0.1953125,
|
| 700 |
-
"grad_norm": 0.
|
| 701 |
"learning_rate": 9.946175605195379e-05,
|
| 702 |
-
"loss": 0.
|
| 703 |
"memory/device_reserved (GiB)": 36.15,
|
| 704 |
"memory/max_active (GiB)": 33.92,
|
| 705 |
"memory/max_allocated (GiB)": 33.92,
|
| 706 |
-
"ppl": 1.
|
| 707 |
"step": 50,
|
| 708 |
"tokens/total": 1515984,
|
| 709 |
"tokens/train_per_sec_per_gpu": 36.23,
|
|
@@ -711,965 +711,965 @@
|
|
| 711 |
},
|
| 712 |
{
|
| 713 |
"epoch": 0.19921875,
|
| 714 |
-
"grad_norm": 0.
|
| 715 |
"learning_rate": 9.941606721274322e-05,
|
| 716 |
-
"loss": 0.
|
| 717 |
"memory/device_reserved (GiB)": 36.15,
|
| 718 |
"memory/max_active (GiB)": 33.89,
|
| 719 |
"memory/max_allocated (GiB)": 33.89,
|
| 720 |
-
"ppl": 1.
|
| 721 |
"step": 51,
|
| 722 |
"tokens/total": 1546224,
|
| 723 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 724 |
"tokens/trainable": 23136
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"epoch": 0.203125,
|
| 728 |
-
"grad_norm": 0.
|
| 729 |
"learning_rate": 9.936853003967685e-05,
|
| 730 |
-
"loss": 0.
|
| 731 |
"memory/device_reserved (GiB)": 36.15,
|
| 732 |
"memory/max_active (GiB)": 33.88,
|
| 733 |
"memory/max_allocated (GiB)": 33.88,
|
| 734 |
-
"ppl": 1.
|
| 735 |
"step": 52,
|
| 736 |
"tokens/total": 1576528,
|
| 737 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 738 |
"tokens/trainable": 23631
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 0.20703125,
|
| 742 |
-
"grad_norm": 0.
|
| 743 |
"learning_rate": 9.93191465109705e-05,
|
| 744 |
-
"loss": 0.
|
| 745 |
"memory/device_reserved (GiB)": 36.15,
|
| 746 |
"memory/max_active (GiB)": 33.83,
|
| 747 |
"memory/max_allocated (GiB)": 33.83,
|
| 748 |
-
"ppl": 1.
|
| 749 |
"step": 53,
|
| 750 |
"tokens/total": 1606768,
|
| 751 |
-
"tokens/train_per_sec_per_gpu":
|
| 752 |
"tokens/trainable": 24096
|
| 753 |
},
|
| 754 |
{
|
| 755 |
"epoch": 0.2109375,
|
| 756 |
-
"grad_norm": 0.
|
| 757 |
"learning_rate": 9.926791868167438e-05,
|
| 758 |
-
"loss": 0.
|
| 759 |
"memory/device_reserved (GiB)": 36.15,
|
| 760 |
"memory/max_active (GiB)": 33.66,
|
| 761 |
"memory/max_allocated (GiB)": 33.66,
|
| 762 |
-
"ppl": 1.
|
| 763 |
"step": 54,
|
| 764 |
"tokens/total": 1636640,
|
| 765 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 766 |
"tokens/trainable": 24569
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"epoch": 0.21484375,
|
| 770 |
-
"grad_norm": 0.
|
| 771 |
"learning_rate": 9.921484868358753e-05,
|
| 772 |
-
"loss": 0.
|
| 773 |
"memory/device_reserved (GiB)": 36.15,
|
| 774 |
"memory/max_active (GiB)": 33.88,
|
| 775 |
"memory/max_allocated (GiB)": 33.88,
|
| 776 |
-
"ppl": 1.
|
| 777 |
"step": 55,
|
| 778 |
"tokens/total": 1667136,
|
| 779 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 780 |
"tokens/trainable": 25067
|
| 781 |
},
|
| 782 |
{
|
| 783 |
"epoch": 0.21875,
|
| 784 |
-
"grad_norm": 0.
|
| 785 |
"learning_rate": 9.915993872516924e-05,
|
| 786 |
-
"loss": 0.
|
| 787 |
"memory/device_reserved (GiB)": 36.15,
|
| 788 |
"memory/max_active (GiB)": 33.85,
|
| 789 |
"memory/max_allocated (GiB)": 33.85,
|
| 790 |
-
"ppl": 1.
|
| 791 |
"step": 56,
|
| 792 |
"tokens/total": 1697472,
|
| 793 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 794 |
"tokens/trainable": 25541
|
| 795 |
},
|
| 796 |
{
|
| 797 |
"epoch": 0.22265625,
|
| 798 |
-
"grad_norm": 0.
|
| 799 |
"learning_rate": 9.9103191091447e-05,
|
| 800 |
-
"loss": 0.
|
| 801 |
"memory/device_reserved (GiB)": 36.15,
|
| 802 |
"memory/max_active (GiB)": 33.9,
|
| 803 |
"memory/max_allocated (GiB)": 33.9,
|
| 804 |
-
"ppl": 1.
|
| 805 |
"step": 57,
|
| 806 |
"tokens/total": 1727680,
|
| 807 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 808 |
"tokens/trainable": 25965
|
| 809 |
},
|
| 810 |
{
|
| 811 |
"epoch": 0.2265625,
|
| 812 |
-
"grad_norm":
|
| 813 |
"learning_rate": 9.904460814392147e-05,
|
| 814 |
-
"loss": 0.
|
| 815 |
"memory/device_reserved (GiB)": 36.15,
|
| 816 |
"memory/max_active (GiB)": 33.87,
|
| 817 |
"memory/max_allocated (GiB)": 33.87,
|
| 818 |
-
"ppl": 1.
|
| 819 |
"step": 58,
|
| 820 |
"tokens/total": 1758192,
|
| 821 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 822 |
"tokens/trainable": 26409
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 0.23046875,
|
| 826 |
-
"grad_norm": 1.
|
| 827 |
"learning_rate": 9.898419232046825e-05,
|
| 828 |
-
"loss": 0.
|
| 829 |
"memory/device_reserved (GiB)": 36.15,
|
| 830 |
"memory/max_active (GiB)": 33.92,
|
| 831 |
"memory/max_allocated (GiB)": 33.92,
|
| 832 |
-
"ppl": 1.
|
| 833 |
"step": 59,
|
| 834 |
"tokens/total": 1788816,
|
| 835 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 836 |
"tokens/trainable": 26883
|
| 837 |
},
|
| 838 |
{
|
| 839 |
"epoch": 0.234375,
|
| 840 |
-
"grad_norm":
|
| 841 |
"learning_rate": 9.892194613523633e-05,
|
| 842 |
-
"loss": 0.
|
| 843 |
"memory/device_reserved (GiB)": 36.15,
|
| 844 |
"memory/max_active (GiB)": 33.86,
|
| 845 |
"memory/max_allocated (GiB)": 33.86,
|
| 846 |
-
"ppl": 1.
|
| 847 |
"step": 60,
|
| 848 |
"tokens/total": 1819056,
|
| 849 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 850 |
"tokens/trainable": 27323
|
| 851 |
},
|
| 852 |
{
|
| 853 |
"epoch": 0.23828125,
|
| 854 |
-
"grad_norm": 0.
|
| 855 |
"learning_rate": 9.885787217854357e-05,
|
| 856 |
-
"loss": 0.
|
| 857 |
"memory/device_reserved (GiB)": 36.16,
|
| 858 |
"memory/max_active (GiB)": 33.92,
|
| 859 |
"memory/max_allocated (GiB)": 33.92,
|
| 860 |
-
"ppl": 1.
|
| 861 |
"step": 61,
|
| 862 |
"tokens/total": 1849664,
|
| 863 |
-
"tokens/train_per_sec_per_gpu": 39.
|
| 864 |
"tokens/trainable": 27830
|
| 865 |
},
|
| 866 |
{
|
| 867 |
"epoch": 0.2421875,
|
| 868 |
-
"grad_norm": 0.
|
| 869 |
"learning_rate": 9.879197311676887e-05,
|
| 870 |
-
"loss": 0.
|
| 871 |
"memory/device_reserved (GiB)": 36.16,
|
| 872 |
"memory/max_active (GiB)": 34.02,
|
| 873 |
"memory/max_allocated (GiB)": 34.02,
|
| 874 |
-
"ppl": 1.
|
| 875 |
"step": 62,
|
| 876 |
"tokens/total": 1880272,
|
| 877 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 878 |
"tokens/trainable": 28281
|
| 879 |
},
|
| 880 |
{
|
| 881 |
"epoch": 0.24609375,
|
| 882 |
-
"grad_norm": 0.
|
| 883 |
"learning_rate": 9.872425169224113e-05,
|
| 884 |
-
"loss": 0.
|
| 885 |
"memory/device_reserved (GiB)": 36.16,
|
| 886 |
"memory/max_active (GiB)": 33.85,
|
| 887 |
"memory/max_allocated (GiB)": 33.85,
|
| 888 |
-
"ppl": 1.
|
| 889 |
"step": 63,
|
| 890 |
"tokens/total": 1910752,
|
| 891 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 892 |
"tokens/trainable": 28742
|
| 893 |
},
|
| 894 |
{
|
| 895 |
"epoch": 0.25,
|
| 896 |
-
"grad_norm": 0.
|
| 897 |
"learning_rate": 9.865471072312528e-05,
|
| 898 |
-
"loss": 0.
|
| 899 |
"memory/device_reserved (GiB)": 36.16,
|
| 900 |
"memory/max_active (GiB)": 33.84,
|
| 901 |
"memory/max_allocated (GiB)": 33.84,
|
| 902 |
-
"ppl": 1.
|
| 903 |
"step": 64,
|
| 904 |
"tokens/total": 1940848,
|
| 905 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 906 |
"tokens/trainable": 29183
|
| 907 |
},
|
| 908 |
{
|
| 909 |
"epoch": 0.25390625,
|
| 910 |
-
"grad_norm": 0.
|
| 911 |
"learning_rate": 9.858335310330492e-05,
|
| 912 |
-
"loss": 0.
|
| 913 |
"memory/device_reserved (GiB)": 36.16,
|
| 914 |
"memory/max_active (GiB)": 33.91,
|
| 915 |
"memory/max_allocated (GiB)": 33.91,
|
| 916 |
-
"ppl": 1.
|
| 917 |
"step": 65,
|
| 918 |
"tokens/total": 1971344,
|
| 919 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 920 |
"tokens/trainable": 29648
|
| 921 |
},
|
| 922 |
{
|
| 923 |
"epoch": 0.2578125,
|
| 924 |
-
"grad_norm": 0.
|
| 925 |
"learning_rate": 9.851018180226185e-05,
|
| 926 |
-
"loss": 0.
|
| 927 |
"memory/device_reserved (GiB)": 35.06,
|
| 928 |
"memory/max_active (GiB)": 33.83,
|
| 929 |
"memory/max_allocated (GiB)": 33.83,
|
| 930 |
-
"ppl": 1.
|
| 931 |
"step": 66,
|
| 932 |
"tokens/total": 2001712,
|
| 933 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 934 |
"tokens/trainable": 30075
|
| 935 |
},
|
| 936 |
{
|
| 937 |
"epoch": 0.26171875,
|
| 938 |
-
"grad_norm": 0.
|
| 939 |
"learning_rate": 9.843519986495259e-05,
|
| 940 |
-
"loss": 0.
|
| 941 |
"memory/device_reserved (GiB)": 35.64,
|
| 942 |
"memory/max_active (GiB)": 33.78,
|
| 943 |
"memory/max_allocated (GiB)": 33.78,
|
| 944 |
-
"ppl": 1.
|
| 945 |
"step": 67,
|
| 946 |
"tokens/total": 2029936,
|
| 947 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 948 |
"tokens/trainable": 30546
|
| 949 |
},
|
| 950 |
{
|
| 951 |
"epoch": 0.265625,
|
| 952 |
-
"grad_norm":
|
| 953 |
"learning_rate": 9.835841041168162e-05,
|
| 954 |
-
"loss": 0.
|
| 955 |
"memory/device_reserved (GiB)": 35.64,
|
| 956 |
"memory/max_active (GiB)": 33.86,
|
| 957 |
"memory/max_allocated (GiB)": 33.86,
|
| 958 |
-
"ppl": 1.
|
| 959 |
"step": 68,
|
| 960 |
"tokens/total": 2060384,
|
| 961 |
-
"tokens/train_per_sec_per_gpu":
|
| 962 |
"tokens/trainable": 31025
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 0.26953125,
|
| 966 |
-
"grad_norm":
|
| 967 |
"learning_rate": 9.82798166379715e-05,
|
| 968 |
-
"loss": 0.
|
| 969 |
"memory/device_reserved (GiB)": 35.64,
|
| 970 |
"memory/max_active (GiB)": 33.85,
|
| 971 |
"memory/max_allocated (GiB)": 33.85,
|
| 972 |
-
"ppl": 1.
|
| 973 |
"step": 69,
|
| 974 |
"tokens/total": 2090688,
|
| 975 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 976 |
"tokens/trainable": 31505
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 0.2734375,
|
| 980 |
-
"grad_norm": 0.
|
| 981 |
"learning_rate": 9.819942181443002e-05,
|
| 982 |
-
"loss": 0.
|
| 983 |
"memory/device_reserved (GiB)": 35.64,
|
| 984 |
"memory/max_active (GiB)": 33.77,
|
| 985 |
"memory/max_allocated (GiB)": 33.77,
|
| 986 |
-
"ppl": 1.
|
| 987 |
"step": 70,
|
| 988 |
"tokens/total": 2120848,
|
| 989 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 990 |
"tokens/trainable": 31956
|
| 991 |
},
|
| 992 |
{
|
| 993 |
"epoch": 0.27734375,
|
| 994 |
-
"grad_norm": 0.
|
| 995 |
"learning_rate": 9.811722928661392e-05,
|
| 996 |
-
"loss": 0.
|
| 997 |
"memory/device_reserved (GiB)": 35.64,
|
| 998 |
"memory/max_active (GiB)": 33.35,
|
| 999 |
"memory/max_allocated (GiB)": 33.35,
|
| 1000 |
-
"ppl": 1.
|
| 1001 |
"step": 71,
|
| 1002 |
"tokens/total": 2149120,
|
| 1003 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1004 |
"tokens/trainable": 32374
|
| 1005 |
},
|
| 1006 |
{
|
| 1007 |
"epoch": 0.28125,
|
| 1008 |
-
"grad_norm": 0.
|
| 1009 |
"learning_rate": 9.803324247488975e-05,
|
| 1010 |
-
"loss": 0.
|
| 1011 |
"memory/device_reserved (GiB)": 35.64,
|
| 1012 |
"memory/max_active (GiB)": 33.81,
|
| 1013 |
"memory/max_allocated (GiB)": 33.81,
|
| 1014 |
-
"ppl": 1.
|
| 1015 |
"step": 72,
|
| 1016 |
"tokens/total": 2179472,
|
| 1017 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1018 |
"tokens/trainable": 32833
|
| 1019 |
},
|
| 1020 |
{
|
| 1021 |
"epoch": 0.28515625,
|
| 1022 |
-
"grad_norm": 0.
|
| 1023 |
"learning_rate": 9.794746487429161e-05,
|
| 1024 |
-
"loss": 0.
|
| 1025 |
"memory/device_reserved (GiB)": 35.96,
|
| 1026 |
"memory/max_active (GiB)": 33.92,
|
| 1027 |
"memory/max_allocated (GiB)": 33.92,
|
| 1028 |
-
"ppl": 1.
|
| 1029 |
"step": 73,
|
| 1030 |
"tokens/total": 2209984,
|
| 1031 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1032 |
"tokens/trainable": 33304
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
"epoch": 0.2890625,
|
| 1036 |
-
"grad_norm":
|
| 1037 |
"learning_rate": 9.785990005437554e-05,
|
| 1038 |
-
"loss": 0.
|
| 1039 |
"memory/device_reserved (GiB)": 35.96,
|
| 1040 |
"memory/max_active (GiB)": 33.83,
|
| 1041 |
"memory/max_allocated (GiB)": 33.83,
|
| 1042 |
-
"ppl": 1.
|
| 1043 |
"step": 74,
|
| 1044 |
"tokens/total": 2240512,
|
| 1045 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1046 |
"tokens/trainable": 33771
|
| 1047 |
},
|
| 1048 |
{
|
| 1049 |
"epoch": 0.29296875,
|
| 1050 |
-
"grad_norm": 0.
|
| 1051 |
"learning_rate": 9.777055165907117e-05,
|
| 1052 |
-
"loss": 0.
|
| 1053 |
"memory/device_reserved (GiB)": 35.96,
|
| 1054 |
"memory/max_active (GiB)": 33.74,
|
| 1055 |
"memory/max_allocated (GiB)": 33.74,
|
| 1056 |
-
"ppl": 1.
|
| 1057 |
"step": 75,
|
| 1058 |
"tokens/total": 2270608,
|
| 1059 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1060 |
"tokens/trainable": 34186
|
| 1061 |
},
|
| 1062 |
{
|
| 1063 |
"epoch": 0.296875,
|
| 1064 |
-
"grad_norm": 0.
|
| 1065 |
"learning_rate": 9.767942340652993e-05,
|
| 1066 |
-
"loss": 0.
|
| 1067 |
"memory/device_reserved (GiB)": 35.96,
|
| 1068 |
"memory/max_active (GiB)": 33.81,
|
| 1069 |
"memory/max_allocated (GiB)": 33.81,
|
| 1070 |
-
"ppl": 1.
|
| 1071 |
"step": 76,
|
| 1072 |
"tokens/total": 2300864,
|
| 1073 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1074 |
"tokens/trainable": 34667
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 0.30078125,
|
| 1078 |
-
"grad_norm":
|
| 1079 |
"learning_rate": 9.758651908897035e-05,
|
| 1080 |
-
"loss": 0.
|
| 1081 |
"memory/device_reserved (GiB)": 35.96,
|
| 1082 |
"memory/max_active (GiB)": 33.76,
|
| 1083 |
"memory/max_allocated (GiB)": 33.76,
|
| 1084 |
-
"ppl": 1.
|
| 1085 |
"step": 77,
|
| 1086 |
"tokens/total": 2330960,
|
| 1087 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1088 |
"tokens/trainable": 35078
|
| 1089 |
},
|
| 1090 |
{
|
| 1091 |
"epoch": 0.3046875,
|
| 1092 |
-
"grad_norm":
|
| 1093 |
"learning_rate": 9.749184257252033e-05,
|
| 1094 |
-
"loss": 0.
|
| 1095 |
"memory/device_reserved (GiB)": 35.98,
|
| 1096 |
"memory/max_active (GiB)": 33.99,
|
| 1097 |
"memory/max_allocated (GiB)": 33.99,
|
| 1098 |
-
"ppl": 1.
|
| 1099 |
"step": 78,
|
| 1100 |
"tokens/total": 2361584,
|
| 1101 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1102 |
"tokens/trainable": 35550
|
| 1103 |
},
|
| 1104 |
{
|
| 1105 |
"epoch": 0.30859375,
|
| 1106 |
-
"grad_norm":
|
| 1107 |
"learning_rate": 9.739539779705614e-05,
|
| 1108 |
-
"loss": 0.
|
| 1109 |
"memory/device_reserved (GiB)": 35.98,
|
| 1110 |
"memory/max_active (GiB)": 33.82,
|
| 1111 |
"memory/max_allocated (GiB)": 33.82,
|
| 1112 |
-
"ppl": 1.
|
| 1113 |
"step": 79,
|
| 1114 |
"tokens/total": 2391936,
|
| 1115 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 1116 |
"tokens/trainable": 35977
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 0.3125,
|
| 1120 |
-
"grad_norm":
|
| 1121 |
"learning_rate": 9.729718877603861e-05,
|
| 1122 |
-
"loss": 0.
|
| 1123 |
"memory/device_reserved (GiB)": 35.98,
|
| 1124 |
"memory/max_active (GiB)": 33.9,
|
| 1125 |
"memory/max_allocated (GiB)": 33.9,
|
| 1126 |
-
"ppl": 1.
|
| 1127 |
"step": 80,
|
| 1128 |
"tokens/total": 2422432,
|
| 1129 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1130 |
"tokens/trainable": 36462
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 0.31640625,
|
| 1134 |
-
"grad_norm": 0.
|
| 1135 |
"learning_rate": 9.719721959634592e-05,
|
| 1136 |
-
"loss": 0.
|
| 1137 |
"memory/device_reserved (GiB)": 35.98,
|
| 1138 |
"memory/max_active (GiB)": 33.89,
|
| 1139 |
"memory/max_allocated (GiB)": 33.89,
|
| 1140 |
-
"ppl": 1.
|
| 1141 |
"step": 81,
|
| 1142 |
"tokens/total": 2452752,
|
| 1143 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1144 |
"tokens/trainable": 36919
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 0.3203125,
|
| 1148 |
-
"grad_norm": 0.
|
| 1149 |
"learning_rate": 9.709549441810375e-05,
|
| 1150 |
-
"loss": 0.
|
| 1151 |
"memory/device_reserved (GiB)": 35.98,
|
| 1152 |
"memory/max_active (GiB)": 33.44,
|
| 1153 |
"memory/max_allocated (GiB)": 33.44,
|
| 1154 |
-
"ppl": 1.
|
| 1155 |
"step": 82,
|
| 1156 |
"tokens/total": 2481216,
|
| 1157 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1158 |
"tokens/trainable": 37379
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 0.32421875,
|
| 1162 |
-
"grad_norm": 0.
|
| 1163 |
"learning_rate": 9.699201747451195e-05,
|
| 1164 |
-
"loss": 0.
|
| 1165 |
"memory/device_reserved (GiB)": 35.98,
|
| 1166 |
"memory/max_active (GiB)": 33.84,
|
| 1167 |
"memory/max_allocated (GiB)": 33.84,
|
| 1168 |
-
"ppl": 1.
|
| 1169 |
"step": 83,
|
| 1170 |
"tokens/total": 2511488,
|
| 1171 |
-
"tokens/train_per_sec_per_gpu":
|
| 1172 |
"tokens/trainable": 37832
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 0.328125,
|
| 1176 |
-
"grad_norm": 0.
|
| 1177 |
"learning_rate": 9.688679307166854e-05,
|
| 1178 |
-
"loss": 0.
|
| 1179 |
"memory/device_reserved (GiB)": 35.98,
|
| 1180 |
"memory/max_active (GiB)": 33.86,
|
| 1181 |
"memory/max_allocated (GiB)": 33.86,
|
| 1182 |
-
"ppl": 1.
|
| 1183 |
"step": 84,
|
| 1184 |
"tokens/total": 2541984,
|
| 1185 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1186 |
"tokens/trainable": 38303
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 0.33203125,
|
| 1190 |
-
"grad_norm": 0.
|
| 1191 |
"learning_rate": 9.677982558839042e-05,
|
| 1192 |
-
"loss": 0.
|
| 1193 |
"memory/device_reserved (GiB)": 35.98,
|
| 1194 |
"memory/max_active (GiB)": 33.69,
|
| 1195 |
"memory/max_allocated (GiB)": 33.69,
|
| 1196 |
-
"ppl": 1.
|
| 1197 |
"step": 85,
|
| 1198 |
"tokens/total": 2572224,
|
| 1199 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1200 |
"tokens/trainable": 38758
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 0.3359375,
|
| 1204 |
-
"grad_norm":
|
| 1205 |
"learning_rate": 9.66711194760312e-05,
|
| 1206 |
-
"loss": 0.
|
| 1207 |
"memory/device_reserved (GiB)": 35.98,
|
| 1208 |
"memory/max_active (GiB)": 33.86,
|
| 1209 |
"memory/max_allocated (GiB)": 33.86,
|
| 1210 |
-
"ppl": 1.
|
| 1211 |
"step": 86,
|
| 1212 |
"tokens/total": 2602704,
|
| 1213 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1214 |
"tokens/trainable": 39179
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 0.33984375,
|
| 1218 |
-
"grad_norm": 0.
|
| 1219 |
"learning_rate": 9.656067925829593e-05,
|
| 1220 |
-
"loss": 0.
|
| 1221 |
"memory/device_reserved (GiB)": 35.98,
|
| 1222 |
"memory/max_active (GiB)": 33.88,
|
| 1223 |
"memory/max_allocated (GiB)": 33.88,
|
| 1224 |
-
"ppl": 1.
|
| 1225 |
"step": 87,
|
| 1226 |
"tokens/total": 2633072,
|
| 1227 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1228 |
"tokens/trainable": 39679
|
| 1229 |
},
|
| 1230 |
{
|
| 1231 |
"epoch": 0.34375,
|
| 1232 |
-
"grad_norm":
|
| 1233 |
"learning_rate": 9.644850953105288e-05,
|
| 1234 |
-
"loss": 0.
|
| 1235 |
"memory/device_reserved (GiB)": 35.98,
|
| 1236 |
"memory/max_active (GiB)": 33.73,
|
| 1237 |
"memory/max_allocated (GiB)": 33.73,
|
| 1238 |
-
"ppl": 1.
|
| 1239 |
"step": 88,
|
| 1240 |
"tokens/total": 2663232,
|
| 1241 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1242 |
"tokens/trainable": 40118
|
| 1243 |
},
|
| 1244 |
{
|
| 1245 |
"epoch": 0.34765625,
|
| 1246 |
-
"grad_norm": 0.
|
| 1247 |
"learning_rate": 9.633461496214225e-05,
|
| 1248 |
-
"loss": 0.
|
| 1249 |
"memory/device_reserved (GiB)": 35.98,
|
| 1250 |
"memory/max_active (GiB)": 33.87,
|
| 1251 |
"memory/max_allocated (GiB)": 33.87,
|
| 1252 |
-
"ppl": 1.
|
| 1253 |
"step": 89,
|
| 1254 |
"tokens/total": 2693696,
|
| 1255 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1256 |
"tokens/trainable": 40571
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
"epoch": 0.3515625,
|
| 1260 |
-
"grad_norm": 0.
|
| 1261 |
"learning_rate": 9.621900029118195e-05,
|
| 1262 |
-
"loss": 0.
|
| 1263 |
"memory/device_reserved (GiB)": 35.98,
|
| 1264 |
"memory/max_active (GiB)": 33.82,
|
| 1265 |
"memory/max_allocated (GiB)": 33.82,
|
| 1266 |
-
"ppl": 1.
|
| 1267 |
"step": 90,
|
| 1268 |
"tokens/total": 2723984,
|
| 1269 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1270 |
"tokens/trainable": 40997
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
"epoch": 0.35546875,
|
| 1274 |
-
"grad_norm": 0.
|
| 1275 |
"learning_rate": 9.610167032937036e-05,
|
| 1276 |
-
"loss": 0.
|
| 1277 |
"memory/device_reserved (GiB)": 35.98,
|
| 1278 |
"memory/max_active (GiB)": 33.82,
|
| 1279 |
"memory/max_allocated (GiB)": 33.82,
|
| 1280 |
-
"ppl": 1.
|
| 1281 |
"step": 91,
|
| 1282 |
"tokens/total": 2754240,
|
| 1283 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1284 |
"tokens/trainable": 41462
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 0.359375,
|
| 1288 |
-
"grad_norm": 0.
|
| 1289 |
"learning_rate": 9.598262995928611e-05,
|
| 1290 |
-
"loss": 0.
|
| 1291 |
"memory/device_reserved (GiB)": 35.98,
|
| 1292 |
"memory/max_active (GiB)": 33.89,
|
| 1293 |
"memory/max_allocated (GiB)": 33.89,
|
| 1294 |
-
"ppl": 1.
|
| 1295 |
"step": 92,
|
| 1296 |
"tokens/total": 2784672,
|
| 1297 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1298 |
"tokens/trainable": 41927
|
| 1299 |
},
|
| 1300 |
{
|
| 1301 |
"epoch": 0.36328125,
|
| 1302 |
-
"grad_norm":
|
| 1303 |
"learning_rate": 9.586188413468492e-05,
|
| 1304 |
-
"loss": 0.
|
| 1305 |
"memory/device_reserved (GiB)": 35.98,
|
| 1306 |
"memory/max_active (GiB)": 33.83,
|
| 1307 |
"memory/max_allocated (GiB)": 33.83,
|
| 1308 |
-
"ppl": 1.
|
| 1309 |
"step": 93,
|
| 1310 |
"tokens/total": 2815120,
|
| 1311 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1312 |
"tokens/trainable": 42397
|
| 1313 |
},
|
| 1314 |
{
|
| 1315 |
"epoch": 0.3671875,
|
| 1316 |
-
"grad_norm": 0.
|
| 1317 |
"learning_rate": 9.57394378802934e-05,
|
| 1318 |
-
"loss": 0.
|
| 1319 |
"memory/device_reserved (GiB)": 35.98,
|
| 1320 |
"memory/max_active (GiB)": 33.97,
|
| 1321 |
"memory/max_allocated (GiB)": 33.97,
|
| 1322 |
"ppl": 1.00077,
|
| 1323 |
"step": 94,
|
| 1324 |
"tokens/total": 2845600,
|
| 1325 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1326 |
"tokens/trainable": 42883
|
| 1327 |
},
|
| 1328 |
{
|
| 1329 |
"epoch": 0.37109375,
|
| 1330 |
-
"grad_norm": 0.
|
| 1331 |
"learning_rate": 9.56152962916e-05,
|
| 1332 |
-
"loss": 0.
|
| 1333 |
"memory/device_reserved (GiB)": 35.98,
|
| 1334 |
"memory/max_active (GiB)": 33.87,
|
| 1335 |
"memory/max_allocated (GiB)": 33.87,
|
| 1336 |
-
"ppl": 1.
|
| 1337 |
"step": 95,
|
| 1338 |
"tokens/total": 2875952,
|
| 1339 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1340 |
"tokens/trainable": 43381
|
| 1341 |
},
|
| 1342 |
{
|
| 1343 |
"epoch": 0.375,
|
| 1344 |
-
"grad_norm": 0.
|
| 1345 |
"learning_rate": 9.548946453464296e-05,
|
| 1346 |
-
"loss": 0.
|
| 1347 |
"memory/device_reserved (GiB)": 35.98,
|
| 1348 |
"memory/max_active (GiB)": 33.9,
|
| 1349 |
"memory/max_allocated (GiB)": 33.9,
|
| 1350 |
-
"ppl": 1.
|
| 1351 |
"step": 96,
|
| 1352 |
"tokens/total": 2906288,
|
| 1353 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1354 |
"tokens/trainable": 43824
|
| 1355 |
},
|
| 1356 |
{
|
| 1357 |
"epoch": 0.37890625,
|
| 1358 |
-
"grad_norm": 0.
|
| 1359 |
"learning_rate": 9.53619478457953e-05,
|
| 1360 |
-
"loss": 0.
|
| 1361 |
"memory/device_reserved (GiB)": 35.98,
|
| 1362 |
"memory/max_active (GiB)": 33.89,
|
| 1363 |
"memory/max_allocated (GiB)": 33.89,
|
| 1364 |
-
"ppl": 1.
|
| 1365 |
"step": 97,
|
| 1366 |
"tokens/total": 2936752,
|
| 1367 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1368 |
"tokens/trainable": 44255
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
"epoch": 0.3828125,
|
| 1372 |
-
"grad_norm": 0.
|
| 1373 |
"learning_rate": 9.523275153154695e-05,
|
| 1374 |
-
"loss": 0.
|
| 1375 |
"memory/device_reserved (GiB)": 35.19,
|
| 1376 |
"memory/max_active (GiB)": 33.92,
|
| 1377 |
"memory/max_allocated (GiB)": 33.92,
|
| 1378 |
-
"ppl": 1.
|
| 1379 |
"step": 98,
|
| 1380 |
"tokens/total": 2967072,
|
| 1381 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1382 |
"tokens/trainable": 44739
|
| 1383 |
},
|
| 1384 |
{
|
| 1385 |
"epoch": 0.38671875,
|
| 1386 |
-
"grad_norm": 0.
|
| 1387 |
"learning_rate": 9.51018809682839e-05,
|
| 1388 |
-
"loss": 0.
|
| 1389 |
"memory/device_reserved (GiB)": 35.76,
|
| 1390 |
"memory/max_active (GiB)": 34.03,
|
| 1391 |
"memory/max_allocated (GiB)": 34.03,
|
| 1392 |
-
"ppl": 1.
|
| 1393 |
"step": 99,
|
| 1394 |
"tokens/total": 2997664,
|
| 1395 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1396 |
"tokens/trainable": 45202
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
"epoch": 0.390625,
|
| 1400 |
-
"grad_norm": 0.
|
| 1401 |
"learning_rate": 9.49693416020645e-05,
|
| 1402 |
-
"loss": 0.
|
| 1403 |
"memory/device_reserved (GiB)": 35.99,
|
| 1404 |
"memory/max_active (GiB)": 33.88,
|
| 1405 |
"memory/max_allocated (GiB)": 33.88,
|
| 1406 |
-
"ppl": 1.
|
| 1407 |
"step": 100,
|
| 1408 |
"tokens/total": 3028032,
|
| 1409 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1410 |
"tokens/trainable": 45646
|
| 1411 |
},
|
| 1412 |
{
|
| 1413 |
"epoch": 0.39453125,
|
| 1414 |
-
"grad_norm": 0.
|
| 1415 |
"learning_rate": 9.483513894839276e-05,
|
| 1416 |
-
"loss": 0.
|
| 1417 |
"memory/device_reserved (GiB)": 35.99,
|
| 1418 |
"memory/max_active (GiB)": 33.82,
|
| 1419 |
"memory/max_allocated (GiB)": 33.82,
|
| 1420 |
-
"ppl": 1.
|
| 1421 |
"step": 101,
|
| 1422 |
"tokens/total": 3058272,
|
| 1423 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1424 |
"tokens/trainable": 46089
|
| 1425 |
},
|
| 1426 |
{
|
| 1427 |
"epoch": 0.3984375,
|
| 1428 |
-
"grad_norm":
|
| 1429 |
"learning_rate": 9.469927859198888e-05,
|
| 1430 |
-
"loss": 0.
|
| 1431 |
"memory/device_reserved (GiB)": 35.99,
|
| 1432 |
"memory/max_active (GiB)": 33.89,
|
| 1433 |
"memory/max_allocated (GiB)": 33.89,
|
| 1434 |
-
"ppl": 1.
|
| 1435 |
"step": 102,
|
| 1436 |
"tokens/total": 3088848,
|
| 1437 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1438 |
"tokens/trainable": 46547
|
| 1439 |
},
|
| 1440 |
{
|
| 1441 |
"epoch": 0.40234375,
|
| 1442 |
-
"grad_norm":
|
| 1443 |
"learning_rate": 9.456176618655689e-05,
|
| 1444 |
-
"loss": 0.
|
| 1445 |
"memory/device_reserved (GiB)": 35.99,
|
| 1446 |
"memory/max_active (GiB)": 33.91,
|
| 1447 |
"memory/max_allocated (GiB)": 33.91,
|
| 1448 |
-
"ppl": 1.
|
| 1449 |
"step": 103,
|
| 1450 |
"tokens/total": 3119424,
|
| 1451 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1452 |
"tokens/trainable": 47014
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
"epoch": 0.40625,
|
| 1456 |
-
"grad_norm": 0.
|
| 1457 |
"learning_rate": 9.442260745454927e-05,
|
| 1458 |
-
"loss": 0.
|
| 1459 |
"memory/device_reserved (GiB)": 36.0,
|
| 1460 |
"memory/max_active (GiB)": 33.81,
|
| 1461 |
"memory/max_allocated (GiB)": 33.81,
|
| 1462 |
-
"ppl": 1.
|
| 1463 |
"step": 104,
|
| 1464 |
"tokens/total": 3149696,
|
| 1465 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1466 |
"tokens/trainable": 47503
|
| 1467 |
},
|
| 1468 |
{
|
| 1469 |
"epoch": 0.41015625,
|
| 1470 |
-
"grad_norm": 0.
|
| 1471 |
"learning_rate": 9.428180818692884e-05,
|
| 1472 |
-
"loss": 0.
|
| 1473 |
"memory/device_reserved (GiB)": 36.0,
|
| 1474 |
"memory/max_active (GiB)": 33.83,
|
| 1475 |
"memory/max_allocated (GiB)": 33.83,
|
| 1476 |
-
"ppl": 1.
|
| 1477 |
"step": 105,
|
| 1478 |
"tokens/total": 3180064,
|
| 1479 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1480 |
"tokens/trainable": 47996
|
| 1481 |
},
|
| 1482 |
{
|
| 1483 |
"epoch": 0.4140625,
|
| 1484 |
-
"grad_norm":
|
| 1485 |
"learning_rate": 9.413937424292791e-05,
|
| 1486 |
-
"loss": 0.
|
| 1487 |
"memory/device_reserved (GiB)": 36.0,
|
| 1488 |
"memory/max_active (GiB)": 33.39,
|
| 1489 |
"memory/max_allocated (GiB)": 33.39,
|
| 1490 |
-
"ppl": 1.
|
| 1491 |
"step": 106,
|
| 1492 |
"tokens/total": 3208320,
|
| 1493 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1494 |
"tokens/trainable": 48447
|
| 1495 |
},
|
| 1496 |
{
|
| 1497 |
"epoch": 0.41796875,
|
| 1498 |
-
"grad_norm": 0.
|
| 1499 |
"learning_rate": 9.399531154980424e-05,
|
| 1500 |
-
"loss": 0.
|
| 1501 |
"memory/device_reserved (GiB)": 36.0,
|
| 1502 |
"memory/max_active (GiB)": 33.74,
|
| 1503 |
"memory/max_allocated (GiB)": 33.74,
|
| 1504 |
-
"ppl": 1.
|
| 1505 |
"step": 107,
|
| 1506 |
"tokens/total": 3238416,
|
| 1507 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1508 |
"tokens/trainable": 48889
|
| 1509 |
},
|
| 1510 |
{
|
| 1511 |
"epoch": 0.421875,
|
| 1512 |
-
"grad_norm": 0.
|
| 1513 |
"learning_rate": 9.384962610259455e-05,
|
| 1514 |
-
"loss": 0.
|
| 1515 |
"memory/device_reserved (GiB)": 36.0,
|
| 1516 |
"memory/max_active (GiB)": 33.82,
|
| 1517 |
"memory/max_allocated (GiB)": 33.82,
|
| 1518 |
-
"ppl": 1.
|
| 1519 |
"step": 108,
|
| 1520 |
"tokens/total": 3268784,
|
| 1521 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1522 |
"tokens/trainable": 49360
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
"epoch": 0.42578125,
|
| 1526 |
-
"grad_norm": 0.
|
| 1527 |
"learning_rate": 9.370232396386494e-05,
|
| 1528 |
-
"loss": 0.
|
| 1529 |
"memory/device_reserved (GiB)": 36.0,
|
| 1530 |
"memory/max_active (GiB)": 33.79,
|
| 1531 |
"memory/max_allocated (GiB)": 33.79,
|
| 1532 |
-
"ppl": 1.
|
| 1533 |
"step": 109,
|
| 1534 |
"tokens/total": 3298912,
|
| 1535 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1536 |
"tokens/trainable": 49827
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
"epoch": 0.4296875,
|
| 1540 |
-
"grad_norm":
|
| 1541 |
"learning_rate": 9.355341126345868e-05,
|
| 1542 |
-
"loss": 0.
|
| 1543 |
"memory/device_reserved (GiB)": 36.0,
|
| 1544 |
"memory/max_active (GiB)": 33.99,
|
| 1545 |
"memory/max_allocated (GiB)": 33.99,
|
| 1546 |
-
"ppl": 1.
|
| 1547 |
"step": 110,
|
| 1548 |
"tokens/total": 3329232,
|
| 1549 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1550 |
"tokens/trainable": 50267
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 0.43359375,
|
| 1554 |
-
"grad_norm": 1.
|
| 1555 |
"learning_rate": 9.340289419824107e-05,
|
| 1556 |
-
"loss": 0.
|
| 1557 |
"memory/device_reserved (GiB)": 36.0,
|
| 1558 |
"memory/max_active (GiB)": 33.8,
|
| 1559 |
"memory/max_allocated (GiB)": 33.8,
|
| 1560 |
-
"ppl": 1.
|
| 1561 |
"step": 111,
|
| 1562 |
"tokens/total": 3359440,
|
| 1563 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1564 |
"tokens/trainable": 50711
|
| 1565 |
},
|
| 1566 |
{
|
| 1567 |
"epoch": 0.4375,
|
| 1568 |
-
"grad_norm":
|
| 1569 |
"learning_rate": 9.325077903184159e-05,
|
| 1570 |
-
"loss": 0.
|
| 1571 |
"memory/device_reserved (GiB)": 36.0,
|
| 1572 |
"memory/max_active (GiB)": 33.74,
|
| 1573 |
"memory/max_allocated (GiB)": 33.74,
|
| 1574 |
-
"ppl": 1.
|
| 1575 |
"step": 112,
|
| 1576 |
"tokens/total": 3389472,
|
| 1577 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1578 |
"tokens/trainable": 51157
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 0.44140625,
|
| 1582 |
-
"grad_norm": 0.
|
| 1583 |
"learning_rate": 9.30970720943932e-05,
|
| 1584 |
-
"loss": 0.
|
| 1585 |
"memory/device_reserved (GiB)": 36.0,
|
| 1586 |
"memory/max_active (GiB)": 33.9,
|
| 1587 |
"memory/max_allocated (GiB)": 33.9,
|
| 1588 |
-
"ppl": 1.
|
| 1589 |
"step": 113,
|
| 1590 |
"tokens/total": 3419920,
|
| 1591 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1592 |
"tokens/trainable": 51613
|
| 1593 |
},
|
| 1594 |
{
|
| 1595 |
"epoch": 0.4453125,
|
| 1596 |
-
"grad_norm":
|
| 1597 |
"learning_rate": 9.2941779782269e-05,
|
| 1598 |
-
"loss": 0.
|
| 1599 |
"memory/device_reserved (GiB)": 36.0,
|
| 1600 |
"memory/max_active (GiB)": 33.78,
|
| 1601 |
"memory/max_allocated (GiB)": 33.78,
|
| 1602 |
-
"ppl": 1.
|
| 1603 |
"step": 114,
|
| 1604 |
"tokens/total": 3450176,
|
| 1605 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 1606 |
"tokens/trainable": 52017
|
| 1607 |
},
|
| 1608 |
{
|
| 1609 |
"epoch": 0.44921875,
|
| 1610 |
-
"grad_norm":
|
| 1611 |
"learning_rate": 9.278490855781596e-05,
|
| 1612 |
-
"loss": 0.
|
| 1613 |
"memory/device_reserved (GiB)": 36.0,
|
| 1614 |
"memory/max_active (GiB)": 33.87,
|
| 1615 |
"memory/max_allocated (GiB)": 33.87,
|
| 1616 |
-
"ppl": 1.
|
| 1617 |
"step": 115,
|
| 1618 |
"tokens/total": 3480544,
|
| 1619 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1620 |
"tokens/trainable": 52506
|
| 1621 |
},
|
| 1622 |
{
|
| 1623 |
"epoch": 0.453125,
|
| 1624 |
-
"grad_norm":
|
| 1625 |
"learning_rate": 9.262646494908604e-05,
|
| 1626 |
-
"loss": 0.
|
| 1627 |
"memory/device_reserved (GiB)": 36.0,
|
| 1628 |
"memory/max_active (GiB)": 33.81,
|
| 1629 |
"memory/max_allocated (GiB)": 33.81,
|
| 1630 |
-
"ppl": 1.
|
| 1631 |
"step": 116,
|
| 1632 |
"tokens/total": 3510848,
|
| 1633 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1634 |
"tokens/trainable": 53008
|
| 1635 |
},
|
| 1636 |
{
|
| 1637 |
"epoch": 0.45703125,
|
| 1638 |
-
"grad_norm":
|
| 1639 |
"learning_rate": 9.246645554956457e-05,
|
| 1640 |
-
"loss": 0.
|
| 1641 |
"memory/device_reserved (GiB)": 36.0,
|
| 1642 |
"memory/max_active (GiB)": 33.96,
|
| 1643 |
"memory/max_allocated (GiB)": 33.96,
|
| 1644 |
-
"ppl": 1.
|
| 1645 |
"step": 117,
|
| 1646 |
"tokens/total": 3541296,
|
| 1647 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1648 |
"tokens/trainable": 53467
|
| 1649 |
},
|
| 1650 |
{
|
| 1651 |
"epoch": 0.4609375,
|
| 1652 |
-
"grad_norm": 0.
|
| 1653 |
"learning_rate": 9.230488701789578e-05,
|
| 1654 |
-
"loss": 0.
|
| 1655 |
"memory/device_reserved (GiB)": 36.0,
|
| 1656 |
"memory/max_active (GiB)": 33.97,
|
| 1657 |
"memory/max_allocated (GiB)": 33.97,
|
| 1658 |
-
"ppl": 1.
|
| 1659 |
"step": 118,
|
| 1660 |
"tokens/total": 3571936,
|
| 1661 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1662 |
"tokens/trainable": 53923
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
"epoch": 0.46484375,
|
| 1666 |
-
"grad_norm":
|
| 1667 |
"learning_rate": 9.214176607760577e-05,
|
| 1668 |
-
"loss": 0.
|
| 1669 |
"memory/device_reserved (GiB)": 36.0,
|
| 1670 |
"memory/max_active (GiB)": 33.79,
|
| 1671 |
"memory/max_allocated (GiB)": 33.79,
|
| 1672 |
-
"ppl": 1.
|
| 1673 |
"step": 119,
|
| 1674 |
"tokens/total": 3602000,
|
| 1675 |
"tokens/train_per_sec_per_gpu": 35.58,
|
|
@@ -1677,125 +1677,125 @@
|
|
| 1677 |
},
|
| 1678 |
{
|
| 1679 |
"epoch": 0.46875,
|
| 1680 |
-
"grad_norm": 0.
|
| 1681 |
"learning_rate": 9.197709951682268e-05,
|
| 1682 |
-
"loss": 0.
|
| 1683 |
"memory/device_reserved (GiB)": 36.0,
|
| 1684 |
"memory/max_active (GiB)": 33.81,
|
| 1685 |
"memory/max_allocated (GiB)": 33.81,
|
| 1686 |
-
"ppl": 1.
|
| 1687 |
"step": 120,
|
| 1688 |
"tokens/total": 3632288,
|
| 1689 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1690 |
"tokens/trainable": 54839
|
| 1691 |
},
|
| 1692 |
{
|
| 1693 |
"epoch": 0.47265625,
|
| 1694 |
-
"grad_norm": 0.
|
| 1695 |
"learning_rate": 9.181089418799428e-05,
|
| 1696 |
-
"loss": 0.
|
| 1697 |
"memory/device_reserved (GiB)": 36.0,
|
| 1698 |
"memory/max_active (GiB)": 33.82,
|
| 1699 |
"memory/max_allocated (GiB)": 33.82,
|
| 1700 |
-
"ppl": 1.
|
| 1701 |
"step": 121,
|
| 1702 |
"tokens/total": 3662608,
|
| 1703 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1704 |
"tokens/trainable": 55267
|
| 1705 |
},
|
| 1706 |
{
|
| 1707 |
"epoch": 0.4765625,
|
| 1708 |
-
"grad_norm": 0.
|
| 1709 |
"learning_rate": 9.164315700760271e-05,
|
| 1710 |
-
"loss": 0.
|
| 1711 |
"memory/device_reserved (GiB)": 36.0,
|
| 1712 |
"memory/max_active (GiB)": 33.77,
|
| 1713 |
"memory/max_allocated (GiB)": 33.77,
|
| 1714 |
-
"ppl": 1.
|
| 1715 |
"step": 122,
|
| 1716 |
"tokens/total": 3692864,
|
| 1717 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 1718 |
"tokens/trainable": 55700
|
| 1719 |
},
|
| 1720 |
{
|
| 1721 |
"epoch": 0.48046875,
|
| 1722 |
-
"grad_norm": 0.
|
| 1723 |
"learning_rate": 9.147389495587671e-05,
|
| 1724 |
-
"loss": 0.
|
| 1725 |
"memory/device_reserved (GiB)": 36.0,
|
| 1726 |
"memory/max_active (GiB)": 33.73,
|
| 1727 |
"memory/max_allocated (GiB)": 33.73,
|
| 1728 |
-
"ppl": 1.
|
| 1729 |
"step": 123,
|
| 1730 |
"tokens/total": 3722864,
|
| 1731 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1732 |
"tokens/trainable": 56144
|
| 1733 |
},
|
| 1734 |
{
|
| 1735 |
"epoch": 0.484375,
|
| 1736 |
-
"grad_norm": 0.
|
| 1737 |
"learning_rate": 9.130311507650116e-05,
|
| 1738 |
-
"loss": 0.
|
| 1739 |
"memory/device_reserved (GiB)": 36.0,
|
| 1740 |
"memory/max_active (GiB)": 33.77,
|
| 1741 |
"memory/max_allocated (GiB)": 33.77,
|
| 1742 |
-
"ppl": 1.
|
| 1743 |
"step": 124,
|
| 1744 |
"tokens/total": 3753056,
|
| 1745 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1746 |
"tokens/trainable": 56589
|
| 1747 |
},
|
| 1748 |
{
|
| 1749 |
"epoch": 0.48828125,
|
| 1750 |
-
"grad_norm": 0.
|
| 1751 |
"learning_rate": 9.113082447632394e-05,
|
| 1752 |
-
"loss": 0.
|
| 1753 |
"memory/device_reserved (GiB)": 36.0,
|
| 1754 |
"memory/max_active (GiB)": 33.82,
|
| 1755 |
"memory/max_allocated (GiB)": 33.82,
|
| 1756 |
-
"ppl": 1.
|
| 1757 |
"step": 125,
|
| 1758 |
"tokens/total": 3783312,
|
| 1759 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1760 |
"tokens/trainable": 57081
|
| 1761 |
},
|
| 1762 |
{
|
| 1763 |
"epoch": 0.4921875,
|
| 1764 |
-
"grad_norm": 0.
|
| 1765 |
"learning_rate": 9.09570303250602e-05,
|
| 1766 |
-
"loss": 0.
|
| 1767 |
"memory/device_reserved (GiB)": 36.0,
|
| 1768 |
"memory/max_active (GiB)": 33.88,
|
| 1769 |
"memory/max_allocated (GiB)": 33.88,
|
| 1770 |
-
"ppl": 1.
|
| 1771 |
"step": 126,
|
| 1772 |
"tokens/total": 3813712,
|
| 1773 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1774 |
"tokens/trainable": 57527
|
| 1775 |
},
|
| 1776 |
{
|
| 1777 |
"epoch": 0.49609375,
|
| 1778 |
-
"grad_norm": 0.
|
| 1779 |
"learning_rate": 9.078173985499394e-05,
|
| 1780 |
-
"loss": 0.
|
| 1781 |
"memory/device_reserved (GiB)": 36.0,
|
| 1782 |
"memory/max_active (GiB)": 33.94,
|
| 1783 |
"memory/max_allocated (GiB)": 33.94,
|
| 1784 |
-
"ppl": 1.
|
| 1785 |
"step": 127,
|
| 1786 |
"tokens/total": 3844336,
|
| 1787 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 1788 |
"tokens/trainable": 58005
|
| 1789 |
},
|
| 1790 |
{
|
| 1791 |
"epoch": 0.5,
|
| 1792 |
-
"grad_norm": 0.
|
| 1793 |
"learning_rate": 9.060496036067713e-05,
|
| 1794 |
-
"loss": 0.
|
| 1795 |
"memory/device_reserved (GiB)": 36.0,
|
| 1796 |
"memory/max_active (GiB)": 33.39,
|
| 1797 |
"memory/max_allocated (GiB)": 33.39,
|
| 1798 |
-
"ppl": 1.
|
| 1799 |
"step": 128,
|
| 1800 |
"tokens/total": 3872688,
|
| 1801 |
"tokens/train_per_sec_per_gpu": 35.21,
|
|
@@ -1803,223 +1803,223 @@
|
|
| 1803 |
},
|
| 1804 |
{
|
| 1805 |
"epoch": 0.50390625,
|
| 1806 |
-
"grad_norm": 0.
|
| 1807 |
"learning_rate": 9.042669919862615e-05,
|
| 1808 |
-
"loss": 0.
|
| 1809 |
"memory/device_reserved (GiB)": 36.0,
|
| 1810 |
"memory/max_active (GiB)": 33.64,
|
| 1811 |
"memory/max_allocated (GiB)": 33.64,
|
| 1812 |
-
"ppl": 1.
|
| 1813 |
"step": 129,
|
| 1814 |
"tokens/total": 3902640,
|
| 1815 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1816 |
"tokens/trainable": 58896
|
| 1817 |
},
|
| 1818 |
{
|
| 1819 |
"epoch": 0.5078125,
|
| 1820 |
-
"grad_norm": 0.
|
| 1821 |
"learning_rate": 9.024696378701557e-05,
|
| 1822 |
-
"loss":
|
| 1823 |
"memory/device_reserved (GiB)": 34.68,
|
| 1824 |
"memory/max_active (GiB)": 33.84,
|
| 1825 |
"memory/max_allocated (GiB)": 33.84,
|
| 1826 |
-
"ppl": 1.
|
| 1827 |
"step": 130,
|
| 1828 |
"tokens/total": 3933104,
|
| 1829 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1830 |
"tokens/trainable": 59356
|
| 1831 |
},
|
| 1832 |
{
|
| 1833 |
"epoch": 0.51171875,
|
| 1834 |
-
"grad_norm":
|
| 1835 |
"learning_rate": 9.006576160536948e-05,
|
| 1836 |
-
"loss": 0.
|
| 1837 |
"memory/device_reserved (GiB)": 34.92,
|
| 1838 |
"memory/max_active (GiB)": 33.78,
|
| 1839 |
"memory/max_allocated (GiB)": 33.78,
|
| 1840 |
-
"ppl": 1.
|
| 1841 |
"step": 131,
|
| 1842 |
"tokens/total": 3963184,
|
| 1843 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 1844 |
"tokens/trainable": 59792
|
| 1845 |
},
|
| 1846 |
{
|
| 1847 |
"epoch": 0.515625,
|
| 1848 |
-
"grad_norm": 0.
|
| 1849 |
"learning_rate": 8.988310019425035e-05,
|
| 1850 |
-
"loss": 0.
|
| 1851 |
"memory/device_reserved (GiB)": 35.78,
|
| 1852 |
"memory/max_active (GiB)": 33.91,
|
| 1853 |
"memory/max_allocated (GiB)": 33.91,
|
| 1854 |
-
"ppl": 1.
|
| 1855 |
"step": 132,
|
| 1856 |
"tokens/total": 3993648,
|
| 1857 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1858 |
"tokens/trainable": 60266
|
| 1859 |
},
|
| 1860 |
{
|
| 1861 |
"epoch": 0.51953125,
|
| 1862 |
-
"grad_norm":
|
| 1863 |
"learning_rate": 8.969898715494506e-05,
|
| 1864 |
-
"loss": 0.
|
| 1865 |
"memory/device_reserved (GiB)": 35.78,
|
| 1866 |
"memory/max_active (GiB)": 33.89,
|
| 1867 |
"memory/max_allocated (GiB)": 33.89,
|
| 1868 |
-
"ppl": 1.
|
| 1869 |
"step": 133,
|
| 1870 |
"tokens/total": 4024000,
|
| 1871 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1872 |
"tokens/trainable": 60759
|
| 1873 |
},
|
| 1874 |
{
|
| 1875 |
"epoch": 0.5234375,
|
| 1876 |
-
"grad_norm": 0.
|
| 1877 |
"learning_rate": 8.951343014914869e-05,
|
| 1878 |
-
"loss": 0.
|
| 1879 |
"memory/device_reserved (GiB)": 35.78,
|
| 1880 |
"memory/max_active (GiB)": 33.39,
|
| 1881 |
"memory/max_allocated (GiB)": 33.39,
|
| 1882 |
-
"ppl": 1.
|
| 1883 |
"step": 134,
|
| 1884 |
"tokens/total": 4052480,
|
| 1885 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 1886 |
"tokens/trainable": 61204
|
| 1887 |
},
|
| 1888 |
{
|
| 1889 |
"epoch": 0.52734375,
|
| 1890 |
-
"grad_norm": 0.
|
| 1891 |
"learning_rate": 8.932643689864568e-05,
|
| 1892 |
-
"loss": 0.
|
| 1893 |
"memory/device_reserved (GiB)": 35.78,
|
| 1894 |
"memory/max_active (GiB)": 33.86,
|
| 1895 |
"memory/max_allocated (GiB)": 33.86,
|
| 1896 |
-
"ppl": 1.
|
| 1897 |
"step": 135,
|
| 1898 |
"tokens/total": 4082864,
|
| 1899 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1900 |
"tokens/trainable": 61684
|
| 1901 |
},
|
| 1902 |
{
|
| 1903 |
"epoch": 0.53125,
|
| 1904 |
-
"grad_norm": 0.
|
| 1905 |
"learning_rate": 8.913801518498845e-05,
|
| 1906 |
-
"loss": 0.
|
| 1907 |
"memory/device_reserved (GiB)": 35.79,
|
| 1908 |
"memory/max_active (GiB)": 33.7,
|
| 1909 |
"memory/max_allocated (GiB)": 33.7,
|
| 1910 |
-
"ppl": 1.
|
| 1911 |
"step": 136,
|
| 1912 |
"tokens/total": 4113040,
|
| 1913 |
-
"tokens/train_per_sec_per_gpu": 38.
|
| 1914 |
"tokens/trainable": 62159
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
"epoch": 0.53515625,
|
| 1918 |
-
"grad_norm": 0.
|
| 1919 |
"learning_rate": 8.894817284917364e-05,
|
| 1920 |
-
"loss": 0.
|
| 1921 |
"memory/device_reserved (GiB)": 35.79,
|
| 1922 |
"memory/max_active (GiB)": 33.88,
|
| 1923 |
"memory/max_allocated (GiB)": 33.88,
|
| 1924 |
-
"ppl": 1.
|
| 1925 |
"step": 137,
|
| 1926 |
"tokens/total": 4143344,
|
| 1927 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1928 |
"tokens/trainable": 62649
|
| 1929 |
},
|
| 1930 |
{
|
| 1931 |
"epoch": 0.5390625,
|
| 1932 |
-
"grad_norm": 0.
|
| 1933 |
"learning_rate": 8.875691779131569e-05,
|
| 1934 |
-
"loss": 0.
|
| 1935 |
"memory/device_reserved (GiB)": 35.79,
|
| 1936 |
"memory/max_active (GiB)": 33.79,
|
| 1937 |
"memory/max_allocated (GiB)": 33.79,
|
| 1938 |
-
"ppl": 1.
|
| 1939 |
"step": 138,
|
| 1940 |
"tokens/total": 4173648,
|
| 1941 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 1942 |
"tokens/trainable": 63100
|
| 1943 |
},
|
| 1944 |
{
|
| 1945 |
"epoch": 0.54296875,
|
| 1946 |
-
"grad_norm": 0.
|
| 1947 |
"learning_rate": 8.856425797031829e-05,
|
| 1948 |
-
"loss": 0.
|
| 1949 |
"memory/device_reserved (GiB)": 35.79,
|
| 1950 |
"memory/max_active (GiB)": 33.92,
|
| 1951 |
"memory/max_allocated (GiB)": 33.92,
|
| 1952 |
-
"ppl": 1.
|
| 1953 |
"step": 139,
|
| 1954 |
"tokens/total": 4204080,
|
| 1955 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 1956 |
"tokens/trainable": 63588
|
| 1957 |
},
|
| 1958 |
{
|
| 1959 |
"epoch": 0.546875,
|
| 1960 |
-
"grad_norm":
|
| 1961 |
"learning_rate": 8.837020140354295e-05,
|
| 1962 |
-
"loss": 0.
|
| 1963 |
"memory/device_reserved (GiB)": 35.79,
|
| 1964 |
"memory/max_active (GiB)": 33.42,
|
| 1965 |
"memory/max_allocated (GiB)": 33.42,
|
| 1966 |
-
"ppl": 1.
|
| 1967 |
"step": 140,
|
| 1968 |
"tokens/total": 4232400,
|
| 1969 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1970 |
"tokens/trainable": 64005
|
| 1971 |
},
|
| 1972 |
{
|
| 1973 |
"epoch": 0.55078125,
|
| 1974 |
-
"grad_norm": 0.
|
| 1975 |
"learning_rate": 8.817475616647554e-05,
|
| 1976 |
-
"loss": 0.
|
| 1977 |
"memory/device_reserved (GiB)": 35.79,
|
| 1978 |
"memory/max_active (GiB)": 33.82,
|
| 1979 |
"memory/max_allocated (GiB)": 33.82,
|
| 1980 |
-
"ppl": 1.
|
| 1981 |
"step": 141,
|
| 1982 |
"tokens/total": 4262624,
|
| 1983 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 1984 |
"tokens/trainable": 64462
|
| 1985 |
},
|
| 1986 |
{
|
| 1987 |
"epoch": 0.5546875,
|
| 1988 |
-
"grad_norm": 0.
|
| 1989 |
"learning_rate": 8.797793039239017e-05,
|
| 1990 |
-
"loss": 0.
|
| 1991 |
"memory/device_reserved (GiB)": 35.79,
|
| 1992 |
"memory/max_active (GiB)": 33.94,
|
| 1993 |
"memory/max_allocated (GiB)": 33.94,
|
| 1994 |
-
"ppl": 1.
|
| 1995 |
"step": 142,
|
| 1996 |
"tokens/total": 4293168,
|
| 1997 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 1998 |
"tokens/trainable": 64900
|
| 1999 |
},
|
| 2000 |
{
|
| 2001 |
"epoch": 0.55859375,
|
| 2002 |
-
"grad_norm": 0.
|
| 2003 |
"learning_rate": 8.777973227201069e-05,
|
| 2004 |
-
"loss": 0.
|
| 2005 |
"memory/device_reserved (GiB)": 35.79,
|
| 2006 |
"memory/max_active (GiB)": 33.8,
|
| 2007 |
"memory/max_allocated (GiB)": 33.8,
|
| 2008 |
-
"ppl": 1.
|
| 2009 |
"step": 143,
|
| 2010 |
"tokens/total": 4323248,
|
| 2011 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 2012 |
"tokens/trainable": 65379
|
| 2013 |
},
|
| 2014 |
{
|
| 2015 |
"epoch": 0.5625,
|
| 2016 |
-
"grad_norm": 0.
|
| 2017 |
"learning_rate": 8.758017005316988e-05,
|
| 2018 |
-
"loss": 0.
|
| 2019 |
"memory/device_reserved (GiB)": 35.79,
|
| 2020 |
"memory/max_active (GiB)": 33.81,
|
| 2021 |
"memory/max_allocated (GiB)": 33.81,
|
| 2022 |
-
"ppl": 1.
|
| 2023 |
"step": 144,
|
| 2024 |
"tokens/total": 4353344,
|
| 2025 |
"tokens/train_per_sec_per_gpu": 36.69,
|
|
@@ -2027,181 +2027,181 @@
|
|
| 2027 |
},
|
| 2028 |
{
|
| 2029 |
"epoch": 0.56640625,
|
| 2030 |
-
"grad_norm": 0.
|
| 2031 |
"learning_rate": 8.737925204046629e-05,
|
| 2032 |
-
"loss": 0.
|
| 2033 |
"memory/device_reserved (GiB)": 35.79,
|
| 2034 |
"memory/max_active (GiB)": 33.79,
|
| 2035 |
"memory/max_allocated (GiB)": 33.79,
|
| 2036 |
-
"ppl": 1.
|
| 2037 |
"step": 145,
|
| 2038 |
"tokens/total": 4383584,
|
| 2039 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 2040 |
"tokens/trainable": 66285
|
| 2041 |
},
|
| 2042 |
{
|
| 2043 |
"epoch": 0.5703125,
|
| 2044 |
-
"grad_norm": 0.
|
| 2045 |
"learning_rate": 8.717698659491851e-05,
|
| 2046 |
-
"loss": 0.
|
| 2047 |
"memory/device_reserved (GiB)": 35.79,
|
| 2048 |
"memory/max_active (GiB)": 33.74,
|
| 2049 |
"memory/max_allocated (GiB)": 33.74,
|
| 2050 |
-
"ppl": 1.
|
| 2051 |
"step": 146,
|
| 2052 |
"tokens/total": 4413856,
|
| 2053 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 2054 |
"tokens/trainable": 66736
|
| 2055 |
},
|
| 2056 |
{
|
| 2057 |
"epoch": 0.57421875,
|
| 2058 |
-
"grad_norm": 0.
|
| 2059 |
"learning_rate": 8.697338213361735e-05,
|
| 2060 |
-
"loss": 0.
|
| 2061 |
"memory/device_reserved (GiB)": 35.79,
|
| 2062 |
"memory/max_active (GiB)": 33.83,
|
| 2063 |
"memory/max_allocated (GiB)": 33.83,
|
| 2064 |
-
"ppl": 1.
|
| 2065 |
"step": 147,
|
| 2066 |
"tokens/total": 4444112,
|
| 2067 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 2068 |
"tokens/trainable": 67150
|
| 2069 |
},
|
| 2070 |
{
|
| 2071 |
"epoch": 0.578125,
|
| 2072 |
-
"grad_norm": 0.
|
| 2073 |
"learning_rate": 8.676844712937552e-05,
|
| 2074 |
-
"loss": 0.
|
| 2075 |
"memory/device_reserved (GiB)": 35.79,
|
| 2076 |
"memory/max_active (GiB)": 33.83,
|
| 2077 |
"memory/max_allocated (GiB)": 33.83,
|
| 2078 |
-
"ppl": 1.
|
| 2079 |
"step": 148,
|
| 2080 |
"tokens/total": 4474464,
|
| 2081 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 2082 |
"tokens/trainable": 67633
|
| 2083 |
},
|
| 2084 |
{
|
| 2085 |
"epoch": 0.58203125,
|
| 2086 |
-
"grad_norm":
|
| 2087 |
"learning_rate": 8.656219011037509e-05,
|
| 2088 |
-
"loss": 0.
|
| 2089 |
"memory/device_reserved (GiB)": 35.79,
|
| 2090 |
"memory/max_active (GiB)": 33.86,
|
| 2091 |
"memory/max_allocated (GiB)": 33.86,
|
| 2092 |
-
"ppl": 1.
|
| 2093 |
"step": 149,
|
| 2094 |
"tokens/total": 4504880,
|
| 2095 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 2096 |
"tokens/trainable": 68077
|
| 2097 |
},
|
| 2098 |
{
|
| 2099 |
"epoch": 0.5859375,
|
| 2100 |
-
"grad_norm": 0.
|
| 2101 |
"learning_rate": 8.63546196598125e-05,
|
| 2102 |
-
"loss": 0.
|
| 2103 |
"memory/device_reserved (GiB)": 35.79,
|
| 2104 |
"memory/max_active (GiB)": 33.8,
|
| 2105 |
"memory/max_allocated (GiB)": 33.8,
|
| 2106 |
-
"ppl": 1.
|
| 2107 |
"step": 150,
|
| 2108 |
"tokens/total": 4534976,
|
| 2109 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 2110 |
"tokens/trainable": 68545
|
| 2111 |
},
|
| 2112 |
{
|
| 2113 |
"epoch": 0.58984375,
|
| 2114 |
-
"grad_norm": 0.
|
| 2115 |
"learning_rate": 8.614574441554145e-05,
|
| 2116 |
-
"loss": 0.
|
| 2117 |
"memory/device_reserved (GiB)": 36.02,
|
| 2118 |
"memory/max_active (GiB)": 33.8,
|
| 2119 |
"memory/max_allocated (GiB)": 33.8,
|
| 2120 |
-
"ppl": 1.
|
| 2121 |
"step": 151,
|
| 2122 |
"tokens/total": 4565088,
|
| 2123 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 2124 |
"tokens/trainable": 69011
|
| 2125 |
},
|
| 2126 |
{
|
| 2127 |
"epoch": 0.59375,
|
| 2128 |
-
"grad_norm": 0.
|
| 2129 |
"learning_rate": 8.593557306971349e-05,
|
| 2130 |
-
"loss": 0.
|
| 2131 |
"memory/device_reserved (GiB)": 36.02,
|
| 2132 |
"memory/max_active (GiB)": 33.93,
|
| 2133 |
"memory/max_allocated (GiB)": 33.93,
|
| 2134 |
-
"ppl": 1.
|
| 2135 |
"step": 152,
|
| 2136 |
"tokens/total": 4595600,
|
| 2137 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 2138 |
"tokens/trainable": 69465
|
| 2139 |
},
|
| 2140 |
{
|
| 2141 |
"epoch": 0.59765625,
|
| 2142 |
-
"grad_norm":
|
| 2143 |
"learning_rate": 8.572411436841618e-05,
|
| 2144 |
-
"loss": 0.
|
| 2145 |
"memory/device_reserved (GiB)": 36.02,
|
| 2146 |
"memory/max_active (GiB)": 33.84,
|
| 2147 |
"memory/max_allocated (GiB)": 33.84,
|
| 2148 |
-
"ppl": 1.
|
| 2149 |
"step": 153,
|
| 2150 |
"tokens/total": 4626032,
|
| 2151 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 2152 |
"tokens/trainable": 69928
|
| 2153 |
},
|
| 2154 |
{
|
| 2155 |
"epoch": 0.6015625,
|
| 2156 |
-
"grad_norm": 0.
|
| 2157 |
"learning_rate": 8.551137711130922e-05,
|
| 2158 |
-
"loss": 0.
|
| 2159 |
"memory/device_reserved (GiB)": 36.02,
|
| 2160 |
"memory/max_active (GiB)": 33.87,
|
| 2161 |
"memory/max_allocated (GiB)": 33.87,
|
| 2162 |
-
"ppl": 1.
|
| 2163 |
"step": 154,
|
| 2164 |
"tokens/total": 4656352,
|
| 2165 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 2166 |
"tokens/trainable": 70395
|
| 2167 |
},
|
| 2168 |
{
|
| 2169 |
"epoch": 0.60546875,
|
| 2170 |
-
"grad_norm": 0.
|
| 2171 |
"learning_rate": 8.529737015125824e-05,
|
| 2172 |
-
"loss": 0.
|
| 2173 |
"memory/device_reserved (GiB)": 36.02,
|
| 2174 |
"memory/max_active (GiB)": 33.85,
|
| 2175 |
"memory/max_allocated (GiB)": 33.85,
|
| 2176 |
-
"ppl": 1.
|
| 2177 |
"step": 155,
|
| 2178 |
"tokens/total": 4684672,
|
| 2179 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 2180 |
"tokens/trainable": 70829
|
| 2181 |
},
|
| 2182 |
{
|
| 2183 |
"epoch": 0.609375,
|
| 2184 |
-
"grad_norm": 0.
|
| 2185 |
"learning_rate": 8.508210239396639e-05,
|
| 2186 |
-
"loss": 0.
|
| 2187 |
"memory/device_reserved (GiB)": 36.02,
|
| 2188 |
"memory/max_active (GiB)": 33.87,
|
| 2189 |
"memory/max_allocated (GiB)": 33.87,
|
| 2190 |
-
"ppl": 1.
|
| 2191 |
"step": 156,
|
| 2192 |
"tokens/total": 4715216,
|
| 2193 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 2194 |
"tokens/trainable": 71287
|
| 2195 |
},
|
| 2196 |
{
|
| 2197 |
"epoch": 0.61328125,
|
| 2198 |
-
"grad_norm": 0.
|
| 2199 |
"learning_rate": 8.486558279760375e-05,
|
| 2200 |
-
"loss": 0.
|
| 2201 |
"memory/device_reserved (GiB)": 36.02,
|
| 2202 |
"memory/max_active (GiB)": 33.79,
|
| 2203 |
"memory/max_allocated (GiB)": 33.79,
|
| 2204 |
-
"ppl": 1.
|
| 2205 |
"step": 157,
|
| 2206 |
"tokens/total": 4745376,
|
| 2207 |
"tokens/train_per_sec_per_gpu": 34.95,
|
|
@@ -2209,44 +2209,44 @@
|
|
| 2209 |
},
|
| 2210 |
{
|
| 2211 |
"epoch": 0.6171875,
|
| 2212 |
-
"grad_norm": 0.
|
| 2213 |
"learning_rate": 8.464782037243449e-05,
|
| 2214 |
-
"loss": 0.
|
| 2215 |
"memory/device_reserved (GiB)": 36.02,
|
| 2216 |
"memory/max_active (GiB)": 33.9,
|
| 2217 |
"memory/max_allocated (GiB)": 33.9,
|
| 2218 |
-
"ppl": 1.
|
| 2219 |
"step": 158,
|
| 2220 |
"tokens/total": 4775776,
|
| 2221 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 2222 |
"tokens/trainable": 72185
|
| 2223 |
},
|
| 2224 |
{
|
| 2225 |
"epoch": 0.62109375,
|
| 2226 |
-
"grad_norm": 0.
|
| 2227 |
"learning_rate": 8.442882418044202e-05,
|
| 2228 |
-
"loss": 0.
|
| 2229 |
"memory/device_reserved (GiB)": 36.02,
|
| 2230 |
"memory/max_active (GiB)": 33.75,
|
| 2231 |
"memory/max_allocated (GiB)": 33.75,
|
| 2232 |
-
"ppl": 1.
|
| 2233 |
"step": 159,
|
| 2234 |
"tokens/total": 4805856,
|
| 2235 |
-
"tokens/train_per_sec_per_gpu": 30.
|
| 2236 |
"tokens/trainable": 72604
|
| 2237 |
},
|
| 2238 |
{
|
| 2239 |
"epoch": 0.625,
|
| 2240 |
-
"grad_norm": 0.
|
| 2241 |
"learning_rate": 8.420860333495179e-05,
|
| 2242 |
-
"loss": 0.
|
| 2243 |
"memory/device_reserved (GiB)": 36.02,
|
| 2244 |
"memory/max_active (GiB)": 33.84,
|
| 2245 |
"memory/max_allocated (GiB)": 33.84,
|
| 2246 |
-
"ppl": 1.
|
| 2247 |
"step": 160,
|
| 2248 |
"tokens/total": 4836304,
|
| 2249 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 2250 |
"tokens/trainable": 73061
|
| 2251 |
}
|
| 2252 |
],
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
+
"grad_norm": 1.3783645629882812,
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
+
"tokens/train_per_sec_per_gpu": 27.09,
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
+
"grad_norm": 1.2333115339279175,
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
+
"tokens/train_per_sec_per_gpu": 34.63,
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
+
"grad_norm": 5.272272109985352,
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
+
"loss": 0.14415010809898376,
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
+
"ppl": 1.15506,
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
+
"tokens/train_per_sec_per_gpu": 34.94,
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
+
"grad_norm": 1.3964842557907104,
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
+
"loss": 0.13428445160388947,
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
+
"ppl": 1.14372,
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
+
"tokens/train_per_sec_per_gpu": 31.19,
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
+
"grad_norm": 1.4071121215820312,
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
+
"loss": 0.14405930042266846,
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
+
"ppl": 1.15495,
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
+
"tokens/train_per_sec_per_gpu": 36.8,
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
+
"grad_norm": 1.6760321855545044,
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
+
"loss": 0.11100607365369797,
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
+
"ppl": 1.1174,
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
+
"tokens/train_per_sec_per_gpu": 32.99,
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
+
"grad_norm": 1.3056405782699585,
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
+
"loss": 0.08474013209342957,
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
+
"ppl": 1.08843,
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
+
"tokens/train_per_sec_per_gpu": 33.9,
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
+
"grad_norm": 15.479830741882324,
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
+
"loss": 0.08459445834159851,
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
+
"ppl": 1.08828,
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
+
"tokens/train_per_sec_per_gpu": 34.2,
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
+
"grad_norm": 1.3126204013824463,
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
+
"loss": 0.06938324868679047,
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
+
"ppl": 1.07185,
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
+
"tokens/train_per_sec_per_gpu": 29.12,
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
+
"grad_norm": 1.292763590812683,
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
+
"loss": 0.04889247566461563,
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
+
"ppl": 1.05011,
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
+
"tokens/train_per_sec_per_gpu": 37.66,
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
+
"grad_norm": 1.0318297147750854,
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
+
"loss": 0.030023720115423203,
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
+
"ppl": 1.03048,
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
+
"tokens/train_per_sec_per_gpu": 33.15,
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
+
"grad_norm": 1.4940381050109863,
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
+
"loss": 0.05268975719809532,
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
+
"ppl": 1.0541,
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
+
"tokens/train_per_sec_per_gpu": 34.26,
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
+
"grad_norm": 2.0244202613830566,
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
+
"loss": 0.06068706512451172,
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
+
"ppl": 1.06257,
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
+
"tokens/train_per_sec_per_gpu": 35.26,
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
+
"grad_norm": 1.5167357921600342,
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
+
"loss": 0.03630872070789337,
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
+
"ppl": 1.03698,
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
+
"tokens/train_per_sec_per_gpu": 34.75,
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
+
"grad_norm": 1.7407020330429077,
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
+
"loss": 0.056628547608852386,
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
+
"ppl": 1.05826,
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
+
"tokens/train_per_sec_per_gpu": 36.1,
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
+
"grad_norm": 2.506803512573242,
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
+
"loss": 0.07074552774429321,
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
+
"ppl": 1.07331,
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
+
"tokens/train_per_sec_per_gpu": 30.03,
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
+
"grad_norm": 1.2572238445281982,
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
+
"loss": 0.04099711775779724,
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
+
"ppl": 1.04185,
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
+
"tokens/train_per_sec_per_gpu": 35.91,
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
+
"grad_norm": 36.9443359375,
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
+
"loss": 0.021194521337747574,
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
+
"ppl": 1.02142,
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
+
"tokens/train_per_sec_per_gpu": 33.78,
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
+
"grad_norm": 0.377701997756958,
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
+
"loss": 0.013856083154678345,
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
+
"ppl": 1.01395,
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
+
"tokens/train_per_sec_per_gpu": 34.89,
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
+
"grad_norm": 1.426601529121399,
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
+
"loss": 0.0455022007226944,
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
+
"ppl": 1.04655,
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
+
"tokens/train_per_sec_per_gpu": 39.72,
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
+
"grad_norm": 0.56149822473526,
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
+
"loss": 0.03209531307220459,
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
+
"ppl": 1.03262,
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
+
"tokens/train_per_sec_per_gpu": 31.61,
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
+
"grad_norm": 1.1531219482421875,
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
+
"loss": 0.04279206693172455,
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
+
"ppl": 1.04372,
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
+
"tokens/train_per_sec_per_gpu": 36.11,
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
+
"grad_norm": 0.9407010078430176,
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
+
"loss": 0.01938648894429207,
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
+
"ppl": 1.01958,
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
+
"tokens/train_per_sec_per_gpu": 32.88,
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
+
"grad_norm": 0.3499844968318939,
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
+
"loss": 0.01257958635687828,
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
+
"ppl": 1.01266,
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
+
"tokens/train_per_sec_per_gpu": 31.52,
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
+
"grad_norm": 1.6778419017791748,
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
+
"loss": 0.04129436984658241,
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
+
"ppl": 1.04216,
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
+
"grad_norm": 0.5760903358459473,
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
+
"loss": 0.008185511454939842,
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
+
"ppl": 1.00822,
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
+
"tokens/train_per_sec_per_gpu": 34.31,
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
+
"grad_norm": 5.235631942749023,
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
+
"loss": 0.010828999802470207,
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
+
"ppl": 1.01089,
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
+
"tokens/train_per_sec_per_gpu": 31.62,
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
+
"grad_norm": 1.404441475868225,
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
+
"loss": 0.051578108221292496,
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
+
"ppl": 1.05293,
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
+
"tokens/train_per_sec_per_gpu": 37.76,
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
+
"grad_norm": 3.0178139209747314,
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
+
"loss": 0.051813721656799316,
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
+
"ppl": 1.05318,
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
+
"tokens/train_per_sec_per_gpu": 35.43,
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
+
"grad_norm": 1.413711428642273,
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
+
"loss": 0.025016000494360924,
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
+
"ppl": 1.02533,
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
+
"tokens/train_per_sec_per_gpu": 35.27,
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
+
"grad_norm": 1.1610053777694702,
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
+
"loss": 0.008201262913644314,
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
+
"ppl": 1.00823,
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
+
"tokens/train_per_sec_per_gpu": 34.0,
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
+
"grad_norm": 0.2630869448184967,
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
+
"loss": 0.006646217778325081,
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
+
"ppl": 1.00667,
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
+
"tokens/train_per_sec_per_gpu": 34.38,
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 0.12890625,
|
| 462 |
+
"grad_norm": 0.7988011240959167,
|
| 463 |
"learning_rate": 9.995412811123711e-05,
|
| 464 |
+
"loss": 0.017185213044285774,
|
| 465 |
"memory/device_reserved (GiB)": 37.82,
|
| 466 |
"memory/max_active (GiB)": 33.95,
|
| 467 |
"memory/max_allocated (GiB)": 33.95,
|
| 468 |
+
"ppl": 1.01733,
|
| 469 |
"step": 33,
|
| 470 |
"tokens/total": 999792,
|
| 471 |
+
"tokens/train_per_sec_per_gpu": 33.23,
|
| 472 |
"tokens/trainable": 15087
|
| 473 |
},
|
| 474 |
{
|
| 475 |
"epoch": 0.1328125,
|
| 476 |
+
"grad_norm": 0.5069737434387207,
|
| 477 |
"learning_rate": 9.994008881295999e-05,
|
| 478 |
+
"loss": 0.02045844867825508,
|
| 479 |
"memory/device_reserved (GiB)": 35.48,
|
| 480 |
"memory/max_active (GiB)": 33.77,
|
| 481 |
"memory/max_allocated (GiB)": 33.77,
|
| 482 |
+
"ppl": 1.02067,
|
| 483 |
"step": 34,
|
| 484 |
"tokens/total": 1029840,
|
| 485 |
"tokens/train_per_sec_per_gpu": 33.81,
|
|
|
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.13671875,
|
| 490 |
+
"grad_norm": 0.8837020993232727,
|
| 491 |
"learning_rate": 9.992417937414932e-05,
|
| 492 |
+
"loss": 0.024748671799898148,
|
| 493 |
"memory/device_reserved (GiB)": 35.48,
|
| 494 |
"memory/max_active (GiB)": 33.9,
|
| 495 |
"memory/max_allocated (GiB)": 33.9,
|
| 496 |
+
"ppl": 1.02506,
|
| 497 |
"step": 35,
|
| 498 |
"tokens/total": 1060416,
|
| 499 |
+
"tokens/train_per_sec_per_gpu": 33.69,
|
| 500 |
"tokens/trainable": 16037
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 0.140625,
|
| 504 |
+
"grad_norm": 0.7192158102989197,
|
| 505 |
"learning_rate": 9.99064004568618e-05,
|
| 506 |
+
"loss": 0.0077397022396326065,
|
| 507 |
"memory/device_reserved (GiB)": 35.48,
|
| 508 |
"memory/max_active (GiB)": 33.72,
|
| 509 |
"memory/max_allocated (GiB)": 33.72,
|
| 510 |
+
"ppl": 1.00777,
|
| 511 |
"step": 36,
|
| 512 |
"tokens/total": 1090464,
|
| 513 |
+
"tokens/train_per_sec_per_gpu": 31.0,
|
| 514 |
"tokens/trainable": 16475
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 0.14453125,
|
| 518 |
+
"grad_norm": 0.8887882232666016,
|
| 519 |
"learning_rate": 9.988675280095074e-05,
|
| 520 |
+
"loss": 0.024969205260276794,
|
| 521 |
"memory/device_reserved (GiB)": 35.86,
|
| 522 |
"memory/max_active (GiB)": 33.93,
|
| 523 |
"memory/max_allocated (GiB)": 33.93,
|
| 524 |
+
"ppl": 1.02528,
|
| 525 |
"step": 37,
|
| 526 |
"tokens/total": 1120944,
|
| 527 |
+
"tokens/train_per_sec_per_gpu": 34.32,
|
| 528 |
"tokens/trainable": 16919
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 0.1484375,
|
| 532 |
+
"grad_norm": 1.0087132453918457,
|
| 533 |
"learning_rate": 9.986523722403528e-05,
|
| 534 |
+
"loss": 0.02261659875512123,
|
| 535 |
"memory/device_reserved (GiB)": 35.86,
|
| 536 |
"memory/max_active (GiB)": 33.87,
|
| 537 |
"memory/max_allocated (GiB)": 33.87,
|
| 538 |
+
"ppl": 1.02287,
|
| 539 |
"step": 38,
|
| 540 |
"tokens/total": 1151360,
|
| 541 |
+
"tokens/train_per_sec_per_gpu": 28.9,
|
| 542 |
"tokens/trainable": 17333
|
| 543 |
},
|
| 544 |
{
|
| 545 |
"epoch": 0.15234375,
|
| 546 |
+
"grad_norm": 0.5544025897979736,
|
| 547 |
"learning_rate": 9.984185462146642e-05,
|
| 548 |
+
"loss": 0.009409069083631039,
|
| 549 |
"memory/device_reserved (GiB)": 35.86,
|
| 550 |
"memory/max_active (GiB)": 33.9,
|
| 551 |
"memory/max_allocated (GiB)": 33.9,
|
| 552 |
+
"ppl": 1.00945,
|
| 553 |
"step": 39,
|
| 554 |
"tokens/total": 1181728,
|
| 555 |
+
"tokens/train_per_sec_per_gpu": 36.09,
|
| 556 |
"tokens/trainable": 17806
|
| 557 |
},
|
| 558 |
{
|
| 559 |
"epoch": 0.15625,
|
| 560 |
+
"grad_norm": 0.6828466653823853,
|
| 561 |
"learning_rate": 9.98166059662897e-05,
|
| 562 |
+
"loss": 0.015685085207223892,
|
| 563 |
"memory/device_reserved (GiB)": 35.86,
|
| 564 |
"memory/max_active (GiB)": 33.83,
|
| 565 |
"memory/max_allocated (GiB)": 33.83,
|
| 566 |
+
"ppl": 1.01581,
|
| 567 |
"step": 40,
|
| 568 |
"tokens/total": 1212064,
|
| 569 |
+
"tokens/train_per_sec_per_gpu": 35.58,
|
| 570 |
"tokens/trainable": 18290
|
| 571 |
},
|
| 572 |
{
|
| 573 |
"epoch": 0.16015625,
|
| 574 |
+
"grad_norm": 0.32031646370887756,
|
| 575 |
"learning_rate": 9.978949230920472e-05,
|
| 576 |
+
"loss": 0.006071081385016441,
|
| 577 |
"memory/device_reserved (GiB)": 35.88,
|
| 578 |
"memory/max_active (GiB)": 33.97,
|
| 579 |
"memory/max_allocated (GiB)": 33.97,
|
| 580 |
+
"ppl": 1.00609,
|
| 581 |
"step": 41,
|
| 582 |
"tokens/total": 1242592,
|
| 583 |
+
"tokens/train_per_sec_per_gpu": 31.93,
|
| 584 |
"tokens/trainable": 18747
|
| 585 |
},
|
| 586 |
{
|
| 587 |
"epoch": 0.1640625,
|
| 588 |
+
"grad_norm": 1.35106360912323,
|
| 589 |
"learning_rate": 9.976051477852141e-05,
|
| 590 |
+
"loss": 0.038804396986961365,
|
| 591 |
"memory/device_reserved (GiB)": 35.88,
|
| 592 |
"memory/max_active (GiB)": 33.81,
|
| 593 |
"memory/max_allocated (GiB)": 33.81,
|
| 594 |
+
"ppl": 1.03957,
|
| 595 |
"step": 42,
|
| 596 |
"tokens/total": 1272800,
|
| 597 |
+
"tokens/train_per_sec_per_gpu": 31.83,
|
| 598 |
"tokens/trainable": 19172
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"epoch": 0.16796875,
|
| 602 |
+
"grad_norm": 0.8709872961044312,
|
| 603 |
"learning_rate": 9.972967458011312e-05,
|
| 604 |
+
"loss": 0.019240852445364,
|
| 605 |
"memory/device_reserved (GiB)": 36.03,
|
| 606 |
"memory/max_active (GiB)": 34.04,
|
| 607 |
"memory/max_allocated (GiB)": 34.04,
|
| 608 |
+
"ppl": 1.01943,
|
| 609 |
"step": 43,
|
| 610 |
"tokens/total": 1303600,
|
| 611 |
+
"tokens/train_per_sec_per_gpu": 31.21,
|
| 612 |
"tokens/trainable": 19622
|
| 613 |
},
|
| 614 |
{
|
| 615 |
"epoch": 0.171875,
|
| 616 |
+
"grad_norm": 0.7335953116416931,
|
| 617 |
"learning_rate": 9.96969729973664e-05,
|
| 618 |
+
"loss": 0.012263014912605286,
|
| 619 |
"memory/device_reserved (GiB)": 36.03,
|
| 620 |
"memory/max_active (GiB)": 33.81,
|
| 621 |
"memory/max_allocated (GiB)": 33.81,
|
| 622 |
+
"ppl": 1.01234,
|
| 623 |
"step": 44,
|
| 624 |
"tokens/total": 1333936,
|
| 625 |
+
"tokens/train_per_sec_per_gpu": 33.31,
|
| 626 |
"tokens/trainable": 20073
|
| 627 |
},
|
| 628 |
{
|
| 629 |
"epoch": 0.17578125,
|
| 630 |
+
"grad_norm": 1.9549319744110107,
|
| 631 |
"learning_rate": 9.966241139112754e-05,
|
| 632 |
+
"loss": 0.012868007645010948,
|
| 633 |
"memory/device_reserved (GiB)": 36.03,
|
| 634 |
"memory/max_active (GiB)": 33.9,
|
| 635 |
"memory/max_allocated (GiB)": 33.9,
|
| 636 |
+
"ppl": 1.01295,
|
| 637 |
"step": 45,
|
| 638 |
"tokens/total": 1364288,
|
| 639 |
+
"tokens/train_per_sec_per_gpu": 31.46,
|
| 640 |
"tokens/trainable": 20497
|
| 641 |
},
|
| 642 |
{
|
| 643 |
"epoch": 0.1796875,
|
| 644 |
+
"grad_norm": 0.5352866053581238,
|
| 645 |
"learning_rate": 9.96259911996461e-05,
|
| 646 |
+
"loss": 0.006207342725247145,
|
| 647 |
"memory/device_reserved (GiB)": 36.03,
|
| 648 |
"memory/max_active (GiB)": 33.82,
|
| 649 |
"memory/max_allocated (GiB)": 33.82,
|
| 650 |
+
"ppl": 1.00623,
|
| 651 |
"step": 46,
|
| 652 |
"tokens/total": 1394368,
|
| 653 |
+
"tokens/train_per_sec_per_gpu": 34.21,
|
| 654 |
"tokens/trainable": 20940
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.18359375,
|
| 658 |
+
"grad_norm": 0.6218534708023071,
|
| 659 |
"learning_rate": 9.958771393851491e-05,
|
| 660 |
+
"loss": 0.006636852398514748,
|
| 661 |
"memory/device_reserved (GiB)": 36.15,
|
| 662 |
"memory/max_active (GiB)": 33.98,
|
| 663 |
"memory/max_allocated (GiB)": 33.98,
|
| 664 |
+
"ppl": 1.00666,
|
| 665 |
"step": 47,
|
| 666 |
"tokens/total": 1425024,
|
| 667 |
+
"tokens/train_per_sec_per_gpu": 34.94,
|
| 668 |
"tokens/trainable": 21405
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 0.1875,
|
| 672 |
+
"grad_norm": 0.7587782144546509,
|
| 673 |
"learning_rate": 9.954758120060702e-05,
|
| 674 |
+
"loss": 0.008137413300573826,
|
| 675 |
"memory/device_reserved (GiB)": 36.15,
|
| 676 |
"memory/max_active (GiB)": 33.86,
|
| 677 |
"memory/max_allocated (GiB)": 33.86,
|
| 678 |
+
"ppl": 1.00817,
|
| 679 |
"step": 48,
|
| 680 |
"tokens/total": 1455392,
|
| 681 |
+
"tokens/train_per_sec_per_gpu": 35.03,
|
| 682 |
"tokens/trainable": 21828
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 0.19140625,
|
| 686 |
+
"grad_norm": 0.6957025527954102,
|
| 687 |
"learning_rate": 9.950559465600948e-05,
|
| 688 |
+
"loss": 0.019302664324641228,
|
| 689 |
"memory/device_reserved (GiB)": 36.15,
|
| 690 |
"memory/max_active (GiB)": 33.88,
|
| 691 |
"memory/max_allocated (GiB)": 33.88,
|
| 692 |
+
"ppl": 1.01949,
|
| 693 |
"step": 49,
|
| 694 |
"tokens/total": 1485616,
|
| 695 |
+
"tokens/train_per_sec_per_gpu": 29.43,
|
| 696 |
"tokens/trainable": 22241
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"epoch": 0.1953125,
|
| 700 |
+
"grad_norm": 0.7795535922050476,
|
| 701 |
"learning_rate": 9.946175605195379e-05,
|
| 702 |
+
"loss": 0.0063660056330263615,
|
| 703 |
"memory/device_reserved (GiB)": 36.15,
|
| 704 |
"memory/max_active (GiB)": 33.92,
|
| 705 |
"memory/max_allocated (GiB)": 33.92,
|
| 706 |
+
"ppl": 1.00639,
|
| 707 |
"step": 50,
|
| 708 |
"tokens/total": 1515984,
|
| 709 |
"tokens/train_per_sec_per_gpu": 36.23,
|
|
|
|
| 711 |
},
|
| 712 |
{
|
| 713 |
"epoch": 0.19921875,
|
| 714 |
+
"grad_norm": 0.20801189541816711,
|
| 715 |
"learning_rate": 9.941606721274322e-05,
|
| 716 |
+
"loss": 0.0021921340376138687,
|
| 717 |
"memory/device_reserved (GiB)": 36.15,
|
| 718 |
"memory/max_active (GiB)": 33.89,
|
| 719 |
"memory/max_allocated (GiB)": 33.89,
|
| 720 |
+
"ppl": 1.00219,
|
| 721 |
"step": 51,
|
| 722 |
"tokens/total": 1546224,
|
| 723 |
+
"tokens/train_per_sec_per_gpu": 32.03,
|
| 724 |
"tokens/trainable": 23136
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"epoch": 0.203125,
|
| 728 |
+
"grad_norm": 0.7914130687713623,
|
| 729 |
"learning_rate": 9.936853003967685e-05,
|
| 730 |
+
"loss": 0.012165859341621399,
|
| 731 |
"memory/device_reserved (GiB)": 36.15,
|
| 732 |
"memory/max_active (GiB)": 33.88,
|
| 733 |
"memory/max_allocated (GiB)": 33.88,
|
| 734 |
+
"ppl": 1.01224,
|
| 735 |
"step": 52,
|
| 736 |
"tokens/total": 1576528,
|
| 737 |
+
"tokens/train_per_sec_per_gpu": 36.92,
|
| 738 |
"tokens/trainable": 23631
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 0.20703125,
|
| 742 |
+
"grad_norm": 0.7185864448547363,
|
| 743 |
"learning_rate": 9.93191465109705e-05,
|
| 744 |
+
"loss": 0.008950375951826572,
|
| 745 |
"memory/device_reserved (GiB)": 36.15,
|
| 746 |
"memory/max_active (GiB)": 33.83,
|
| 747 |
"memory/max_allocated (GiB)": 33.83,
|
| 748 |
+
"ppl": 1.00899,
|
| 749 |
"step": 53,
|
| 750 |
"tokens/total": 1606768,
|
| 751 |
+
"tokens/train_per_sec_per_gpu": 34.05,
|
| 752 |
"tokens/trainable": 24096
|
| 753 |
},
|
| 754 |
{
|
| 755 |
"epoch": 0.2109375,
|
| 756 |
+
"grad_norm": 0.8439444303512573,
|
| 757 |
"learning_rate": 9.926791868167438e-05,
|
| 758 |
+
"loss": 0.011410758830606937,
|
| 759 |
"memory/device_reserved (GiB)": 36.15,
|
| 760 |
"memory/max_active (GiB)": 33.66,
|
| 761 |
"memory/max_allocated (GiB)": 33.66,
|
| 762 |
+
"ppl": 1.01148,
|
| 763 |
"step": 54,
|
| 764 |
"tokens/total": 1636640,
|
| 765 |
+
"tokens/train_per_sec_per_gpu": 37.77,
|
| 766 |
"tokens/trainable": 24569
|
| 767 |
},
|
| 768 |
{
|
| 769 |
"epoch": 0.21484375,
|
| 770 |
+
"grad_norm": 0.47947707772254944,
|
| 771 |
"learning_rate": 9.921484868358753e-05,
|
| 772 |
+
"loss": 0.004429137334227562,
|
| 773 |
"memory/device_reserved (GiB)": 36.15,
|
| 774 |
"memory/max_active (GiB)": 33.88,
|
| 775 |
"memory/max_allocated (GiB)": 33.88,
|
| 776 |
+
"ppl": 1.00444,
|
| 777 |
"step": 55,
|
| 778 |
"tokens/total": 1667136,
|
| 779 |
+
"tokens/train_per_sec_per_gpu": 33.86,
|
| 780 |
"tokens/trainable": 25067
|
| 781 |
},
|
| 782 |
{
|
| 783 |
"epoch": 0.21875,
|
| 784 |
+
"grad_norm": 0.4257976710796356,
|
| 785 |
"learning_rate": 9.915993872516924e-05,
|
| 786 |
+
"loss": 0.00340340007096529,
|
| 787 |
"memory/device_reserved (GiB)": 36.15,
|
| 788 |
"memory/max_active (GiB)": 33.85,
|
| 789 |
"memory/max_allocated (GiB)": 33.85,
|
| 790 |
+
"ppl": 1.00341,
|
| 791 |
"step": 56,
|
| 792 |
"tokens/total": 1697472,
|
| 793 |
+
"tokens/train_per_sec_per_gpu": 36.47,
|
| 794 |
"tokens/trainable": 25541
|
| 795 |
},
|
| 796 |
{
|
| 797 |
"epoch": 0.22265625,
|
| 798 |
+
"grad_norm": 0.7323225736618042,
|
| 799 |
"learning_rate": 9.9103191091447e-05,
|
| 800 |
+
"loss": 0.010487878695130348,
|
| 801 |
"memory/device_reserved (GiB)": 36.15,
|
| 802 |
"memory/max_active (GiB)": 33.9,
|
| 803 |
"memory/max_allocated (GiB)": 33.9,
|
| 804 |
+
"ppl": 1.01054,
|
| 805 |
"step": 57,
|
| 806 |
"tokens/total": 1727680,
|
| 807 |
+
"tokens/train_per_sec_per_gpu": 33.08,
|
| 808 |
"tokens/trainable": 25965
|
| 809 |
},
|
| 810 |
{
|
| 811 |
"epoch": 0.2265625,
|
| 812 |
+
"grad_norm": 2.3697221279144287,
|
| 813 |
"learning_rate": 9.904460814392147e-05,
|
| 814 |
+
"loss": 0.004758198279887438,
|
| 815 |
"memory/device_reserved (GiB)": 36.15,
|
| 816 |
"memory/max_active (GiB)": 33.87,
|
| 817 |
"memory/max_allocated (GiB)": 33.87,
|
| 818 |
+
"ppl": 1.00477,
|
| 819 |
"step": 58,
|
| 820 |
"tokens/total": 1758192,
|
| 821 |
+
"tokens/train_per_sec_per_gpu": 33.79,
|
| 822 |
"tokens/trainable": 26409
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 0.23046875,
|
| 826 |
+
"grad_norm": 1.732944369316101,
|
| 827 |
"learning_rate": 9.898419232046825e-05,
|
| 828 |
+
"loss": 0.00296807405538857,
|
| 829 |
"memory/device_reserved (GiB)": 36.15,
|
| 830 |
"memory/max_active (GiB)": 33.92,
|
| 831 |
"memory/max_allocated (GiB)": 33.92,
|
| 832 |
+
"ppl": 1.00297,
|
| 833 |
"step": 59,
|
| 834 |
"tokens/total": 1788816,
|
| 835 |
+
"tokens/train_per_sec_per_gpu": 33.99,
|
| 836 |
"tokens/trainable": 26883
|
| 837 |
},
|
| 838 |
{
|
| 839 |
"epoch": 0.234375,
|
| 840 |
+
"grad_norm": 4.904305934906006,
|
| 841 |
"learning_rate": 9.892194613523633e-05,
|
| 842 |
+
"loss": 0.005324847996234894,
|
| 843 |
"memory/device_reserved (GiB)": 36.15,
|
| 844 |
"memory/max_active (GiB)": 33.86,
|
| 845 |
"memory/max_allocated (GiB)": 33.86,
|
| 846 |
+
"ppl": 1.00534,
|
| 847 |
"step": 60,
|
| 848 |
"tokens/total": 1819056,
|
| 849 |
+
"tokens/train_per_sec_per_gpu": 33.67,
|
| 850 |
"tokens/trainable": 27323
|
| 851 |
},
|
| 852 |
{
|
| 853 |
"epoch": 0.23828125,
|
| 854 |
+
"grad_norm": 0.08419182896614075,
|
| 855 |
"learning_rate": 9.885787217854357e-05,
|
| 856 |
+
"loss": 0.0007892341818660498,
|
| 857 |
"memory/device_reserved (GiB)": 36.16,
|
| 858 |
"memory/max_active (GiB)": 33.92,
|
| 859 |
"memory/max_allocated (GiB)": 33.92,
|
| 860 |
+
"ppl": 1.00079,
|
| 861 |
"step": 61,
|
| 862 |
"tokens/total": 1849664,
|
| 863 |
+
"tokens/train_per_sec_per_gpu": 39.09,
|
| 864 |
"tokens/trainable": 27830
|
| 865 |
},
|
| 866 |
{
|
| 867 |
"epoch": 0.2421875,
|
| 868 |
+
"grad_norm": 0.7355648279190063,
|
| 869 |
"learning_rate": 9.879197311676887e-05,
|
| 870 |
+
"loss": 0.017353510484099388,
|
| 871 |
"memory/device_reserved (GiB)": 36.16,
|
| 872 |
"memory/max_active (GiB)": 34.02,
|
| 873 |
"memory/max_allocated (GiB)": 34.02,
|
| 874 |
+
"ppl": 1.0175,
|
| 875 |
"step": 62,
|
| 876 |
"tokens/total": 1880272,
|
| 877 |
+
"tokens/train_per_sec_per_gpu": 32.21,
|
| 878 |
"tokens/trainable": 28281
|
| 879 |
},
|
| 880 |
{
|
| 881 |
"epoch": 0.24609375,
|
| 882 |
+
"grad_norm": 0.925104558467865,
|
| 883 |
"learning_rate": 9.872425169224113e-05,
|
| 884 |
+
"loss": 0.01441475935280323,
|
| 885 |
"memory/device_reserved (GiB)": 36.16,
|
| 886 |
"memory/max_active (GiB)": 33.85,
|
| 887 |
"memory/max_allocated (GiB)": 33.85,
|
| 888 |
+
"ppl": 1.01452,
|
| 889 |
"step": 63,
|
| 890 |
"tokens/total": 1910752,
|
| 891 |
+
"tokens/train_per_sec_per_gpu": 32.16,
|
| 892 |
"tokens/trainable": 28742
|
| 893 |
},
|
| 894 |
{
|
| 895 |
"epoch": 0.25,
|
| 896 |
+
"grad_norm": 0.2562558352947235,
|
| 897 |
"learning_rate": 9.865471072312528e-05,
|
| 898 |
+
"loss": 0.0025585039984434843,
|
| 899 |
"memory/device_reserved (GiB)": 36.16,
|
| 900 |
"memory/max_active (GiB)": 33.84,
|
| 901 |
"memory/max_allocated (GiB)": 33.84,
|
| 902 |
+
"ppl": 1.00256,
|
| 903 |
"step": 64,
|
| 904 |
"tokens/total": 1940848,
|
| 905 |
+
"tokens/train_per_sec_per_gpu": 33.54,
|
| 906 |
"tokens/trainable": 29183
|
| 907 |
},
|
| 908 |
{
|
| 909 |
"epoch": 0.25390625,
|
| 910 |
+
"grad_norm": 0.5092302560806274,
|
| 911 |
"learning_rate": 9.858335310330492e-05,
|
| 912 |
+
"loss": 0.007829459384083748,
|
| 913 |
"memory/device_reserved (GiB)": 36.16,
|
| 914 |
"memory/max_active (GiB)": 33.91,
|
| 915 |
"memory/max_allocated (GiB)": 33.91,
|
| 916 |
+
"ppl": 1.00786,
|
| 917 |
"step": 65,
|
| 918 |
"tokens/total": 1971344,
|
| 919 |
+
"tokens/train_per_sec_per_gpu": 31.45,
|
| 920 |
"tokens/trainable": 29648
|
| 921 |
},
|
| 922 |
{
|
| 923 |
"epoch": 0.2578125,
|
| 924 |
+
"grad_norm": 0.5972490310668945,
|
| 925 |
"learning_rate": 9.851018180226185e-05,
|
| 926 |
+
"loss": 0.0017629603389650583,
|
| 927 |
"memory/device_reserved (GiB)": 35.06,
|
| 928 |
"memory/max_active (GiB)": 33.83,
|
| 929 |
"memory/max_allocated (GiB)": 33.83,
|
| 930 |
+
"ppl": 1.00176,
|
| 931 |
"step": 66,
|
| 932 |
"tokens/total": 2001712,
|
| 933 |
+
"tokens/train_per_sec_per_gpu": 33.44,
|
| 934 |
"tokens/trainable": 30075
|
| 935 |
},
|
| 936 |
{
|
| 937 |
"epoch": 0.26171875,
|
| 938 |
+
"grad_norm": 0.6682910919189453,
|
| 939 |
"learning_rate": 9.843519986495259e-05,
|
| 940 |
+
"loss": 0.005682674702256918,
|
| 941 |
"memory/device_reserved (GiB)": 35.64,
|
| 942 |
"memory/max_active (GiB)": 33.78,
|
| 943 |
"memory/max_allocated (GiB)": 33.78,
|
| 944 |
+
"ppl": 1.0057,
|
| 945 |
"step": 67,
|
| 946 |
"tokens/total": 2029936,
|
| 947 |
+
"tokens/train_per_sec_per_gpu": 37.53,
|
| 948 |
"tokens/trainable": 30546
|
| 949 |
},
|
| 950 |
{
|
| 951 |
"epoch": 0.265625,
|
| 952 |
+
"grad_norm": 2.3002567291259766,
|
| 953 |
"learning_rate": 9.835841041168162e-05,
|
| 954 |
+
"loss": 0.010535864159464836,
|
| 955 |
"memory/device_reserved (GiB)": 35.64,
|
| 956 |
"memory/max_active (GiB)": 33.86,
|
| 957 |
"memory/max_allocated (GiB)": 33.86,
|
| 958 |
+
"ppl": 1.01059,
|
| 959 |
"step": 68,
|
| 960 |
"tokens/total": 2060384,
|
| 961 |
+
"tokens/train_per_sec_per_gpu": 35.06,
|
| 962 |
"tokens/trainable": 31025
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 0.26953125,
|
| 966 |
+
"grad_norm": 2.2319464683532715,
|
| 967 |
"learning_rate": 9.82798166379715e-05,
|
| 968 |
+
"loss": 0.016697486862540245,
|
| 969 |
"memory/device_reserved (GiB)": 35.64,
|
| 970 |
"memory/max_active (GiB)": 33.85,
|
| 971 |
"memory/max_allocated (GiB)": 33.85,
|
| 972 |
+
"ppl": 1.01684,
|
| 973 |
"step": 69,
|
| 974 |
"tokens/total": 2090688,
|
| 975 |
+
"tokens/train_per_sec_per_gpu": 33.87,
|
| 976 |
"tokens/trainable": 31505
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 0.2734375,
|
| 980 |
+
"grad_norm": 0.4549625515937805,
|
| 981 |
"learning_rate": 9.819942181443002e-05,
|
| 982 |
+
"loss": 0.005516475066542625,
|
| 983 |
"memory/device_reserved (GiB)": 35.64,
|
| 984 |
"memory/max_active (GiB)": 33.77,
|
| 985 |
"memory/max_allocated (GiB)": 33.77,
|
| 986 |
+
"ppl": 1.00553,
|
| 987 |
"step": 70,
|
| 988 |
"tokens/total": 2120848,
|
| 989 |
+
"tokens/train_per_sec_per_gpu": 32.21,
|
| 990 |
"tokens/trainable": 31956
|
| 991 |
},
|
| 992 |
{
|
| 993 |
"epoch": 0.27734375,
|
| 994 |
+
"grad_norm": 0.7483011484146118,
|
| 995 |
"learning_rate": 9.811722928661392e-05,
|
| 996 |
+
"loss": 0.008852789178490639,
|
| 997 |
"memory/device_reserved (GiB)": 35.64,
|
| 998 |
"memory/max_active (GiB)": 33.35,
|
| 999 |
"memory/max_allocated (GiB)": 33.35,
|
| 1000 |
+
"ppl": 1.00889,
|
| 1001 |
"step": 71,
|
| 1002 |
"tokens/total": 2149120,
|
| 1003 |
+
"tokens/train_per_sec_per_gpu": 33.33,
|
| 1004 |
"tokens/trainable": 32374
|
| 1005 |
},
|
| 1006 |
{
|
| 1007 |
"epoch": 0.28125,
|
| 1008 |
+
"grad_norm": 0.4358912706375122,
|
| 1009 |
"learning_rate": 9.803324247488975e-05,
|
| 1010 |
+
"loss": 0.0014208657667040825,
|
| 1011 |
"memory/device_reserved (GiB)": 35.64,
|
| 1012 |
"memory/max_active (GiB)": 33.81,
|
| 1013 |
"memory/max_allocated (GiB)": 33.81,
|
| 1014 |
+
"ppl": 1.00142,
|
| 1015 |
"step": 72,
|
| 1016 |
"tokens/total": 2179472,
|
| 1017 |
+
"tokens/train_per_sec_per_gpu": 34.46,
|
| 1018 |
"tokens/trainable": 32833
|
| 1019 |
},
|
| 1020 |
{
|
| 1021 |
"epoch": 0.28515625,
|
| 1022 |
+
"grad_norm": 0.32716670632362366,
|
| 1023 |
"learning_rate": 9.794746487429161e-05,
|
| 1024 |
+
"loss": 0.005963748786598444,
|
| 1025 |
"memory/device_reserved (GiB)": 35.96,
|
| 1026 |
"memory/max_active (GiB)": 33.92,
|
| 1027 |
"memory/max_allocated (GiB)": 33.92,
|
| 1028 |
+
"ppl": 1.00598,
|
| 1029 |
"step": 73,
|
| 1030 |
"tokens/total": 2209984,
|
| 1031 |
+
"tokens/train_per_sec_per_gpu": 35.67,
|
| 1032 |
"tokens/trainable": 33304
|
| 1033 |
},
|
| 1034 |
{
|
| 1035 |
"epoch": 0.2890625,
|
| 1036 |
+
"grad_norm": 0.5767021775245667,
|
| 1037 |
"learning_rate": 9.785990005437554e-05,
|
| 1038 |
+
"loss": 0.00536112766712904,
|
| 1039 |
"memory/device_reserved (GiB)": 35.96,
|
| 1040 |
"memory/max_active (GiB)": 33.83,
|
| 1041 |
"memory/max_allocated (GiB)": 33.83,
|
| 1042 |
+
"ppl": 1.00538,
|
| 1043 |
"step": 74,
|
| 1044 |
"tokens/total": 2240512,
|
| 1045 |
+
"tokens/train_per_sec_per_gpu": 32.33,
|
| 1046 |
"tokens/trainable": 33771
|
| 1047 |
},
|
| 1048 |
{
|
| 1049 |
"epoch": 0.29296875,
|
| 1050 |
+
"grad_norm": 0.9307782649993896,
|
| 1051 |
"learning_rate": 9.777055165907117e-05,
|
| 1052 |
+
"loss": 0.006907512433826923,
|
| 1053 |
"memory/device_reserved (GiB)": 35.96,
|
| 1054 |
"memory/max_active (GiB)": 33.74,
|
| 1055 |
"memory/max_allocated (GiB)": 33.74,
|
| 1056 |
+
"ppl": 1.00693,
|
| 1057 |
"step": 75,
|
| 1058 |
"tokens/total": 2270608,
|
| 1059 |
+
"tokens/train_per_sec_per_gpu": 34.46,
|
| 1060 |
"tokens/trainable": 34186
|
| 1061 |
},
|
| 1062 |
{
|
| 1063 |
"epoch": 0.296875,
|
| 1064 |
+
"grad_norm": 0.517152726650238,
|
| 1065 |
"learning_rate": 9.767942340652993e-05,
|
| 1066 |
+
"loss": 0.0017031149473041296,
|
| 1067 |
"memory/device_reserved (GiB)": 35.96,
|
| 1068 |
"memory/max_active (GiB)": 33.81,
|
| 1069 |
"memory/max_allocated (GiB)": 33.81,
|
| 1070 |
+
"ppl": 1.0017,
|
| 1071 |
"step": 76,
|
| 1072 |
"tokens/total": 2300864,
|
| 1073 |
+
"tokens/train_per_sec_per_gpu": 34.83,
|
| 1074 |
"tokens/trainable": 34667
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 0.30078125,
|
| 1078 |
+
"grad_norm": 4.431775093078613,
|
| 1079 |
"learning_rate": 9.758651908897035e-05,
|
| 1080 |
+
"loss": 0.01024378277361393,
|
| 1081 |
"memory/device_reserved (GiB)": 35.96,
|
| 1082 |
"memory/max_active (GiB)": 33.76,
|
| 1083 |
"memory/max_allocated (GiB)": 33.76,
|
| 1084 |
+
"ppl": 1.0103,
|
| 1085 |
"step": 77,
|
| 1086 |
"tokens/total": 2330960,
|
| 1087 |
+
"tokens/train_per_sec_per_gpu": 31.71,
|
| 1088 |
"tokens/trainable": 35078
|
| 1089 |
},
|
| 1090 |
{
|
| 1091 |
"epoch": 0.3046875,
|
| 1092 |
+
"grad_norm": 1.6990809440612793,
|
| 1093 |
"learning_rate": 9.749184257252033e-05,
|
| 1094 |
+
"loss": 0.016885127872228622,
|
| 1095 |
"memory/device_reserved (GiB)": 35.98,
|
| 1096 |
"memory/max_active (GiB)": 33.99,
|
| 1097 |
"memory/max_allocated (GiB)": 33.99,
|
| 1098 |
+
"ppl": 1.01703,
|
| 1099 |
"step": 78,
|
| 1100 |
"tokens/total": 2361584,
|
| 1101 |
+
"tokens/train_per_sec_per_gpu": 34.8,
|
| 1102 |
"tokens/trainable": 35550
|
| 1103 |
},
|
| 1104 |
{
|
| 1105 |
"epoch": 0.30859375,
|
| 1106 |
+
"grad_norm": 1.1758185625076294,
|
| 1107 |
"learning_rate": 9.739539779705614e-05,
|
| 1108 |
+
"loss": 0.005958402995020151,
|
| 1109 |
"memory/device_reserved (GiB)": 35.98,
|
| 1110 |
"memory/max_active (GiB)": 33.82,
|
| 1111 |
"memory/max_allocated (GiB)": 33.82,
|
| 1112 |
+
"ppl": 1.00598,
|
| 1113 |
"step": 79,
|
| 1114 |
"tokens/total": 2391936,
|
| 1115 |
+
"tokens/train_per_sec_per_gpu": 29.46,
|
| 1116 |
"tokens/trainable": 35977
|
| 1117 |
},
|
| 1118 |
{
|
| 1119 |
"epoch": 0.3125,
|
| 1120 |
+
"grad_norm": 2.7611470222473145,
|
| 1121 |
"learning_rate": 9.729718877603861e-05,
|
| 1122 |
+
"loss": 0.034006115049123764,
|
| 1123 |
"memory/device_reserved (GiB)": 35.98,
|
| 1124 |
"memory/max_active (GiB)": 33.9,
|
| 1125 |
"memory/max_allocated (GiB)": 33.9,
|
| 1126 |
+
"ppl": 1.03459,
|
| 1127 |
"step": 80,
|
| 1128 |
"tokens/total": 2422432,
|
| 1129 |
+
"tokens/train_per_sec_per_gpu": 38.2,
|
| 1130 |
"tokens/trainable": 36462
|
| 1131 |
},
|
| 1132 |
{
|
| 1133 |
"epoch": 0.31640625,
|
| 1134 |
+
"grad_norm": 0.017304062843322754,
|
| 1135 |
"learning_rate": 9.719721959634592e-05,
|
| 1136 |
+
"loss": 0.00017258770822081715,
|
| 1137 |
"memory/device_reserved (GiB)": 35.98,
|
| 1138 |
"memory/max_active (GiB)": 33.89,
|
| 1139 |
"memory/max_allocated (GiB)": 33.89,
|
| 1140 |
+
"ppl": 1.00017,
|
| 1141 |
"step": 81,
|
| 1142 |
"tokens/total": 2452752,
|
| 1143 |
+
"tokens/train_per_sec_per_gpu": 33.18,
|
| 1144 |
"tokens/trainable": 36919
|
| 1145 |
},
|
| 1146 |
{
|
| 1147 |
"epoch": 0.3203125,
|
| 1148 |
+
"grad_norm": 0.6304571032524109,
|
| 1149 |
"learning_rate": 9.709549441810375e-05,
|
| 1150 |
+
"loss": 0.00832848995923996,
|
| 1151 |
"memory/device_reserved (GiB)": 35.98,
|
| 1152 |
"memory/max_active (GiB)": 33.44,
|
| 1153 |
"memory/max_allocated (GiB)": 33.44,
|
| 1154 |
+
"ppl": 1.00836,
|
| 1155 |
"step": 82,
|
| 1156 |
"tokens/total": 2481216,
|
| 1157 |
+
"tokens/train_per_sec_per_gpu": 33.4,
|
| 1158 |
"tokens/trainable": 37379
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
"epoch": 0.32421875,
|
| 1162 |
+
"grad_norm": 0.08372113853693008,
|
| 1163 |
"learning_rate": 9.699201747451195e-05,
|
| 1164 |
+
"loss": 0.0007960593793541193,
|
| 1165 |
"memory/device_reserved (GiB)": 35.98,
|
| 1166 |
"memory/max_active (GiB)": 33.84,
|
| 1167 |
"memory/max_allocated (GiB)": 33.84,
|
| 1168 |
+
"ppl": 1.0008,
|
| 1169 |
"step": 83,
|
| 1170 |
"tokens/total": 2511488,
|
| 1171 |
+
"tokens/train_per_sec_per_gpu": 33.05,
|
| 1172 |
"tokens/trainable": 37832
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
"epoch": 0.328125,
|
| 1176 |
+
"grad_norm": 0.4056459367275238,
|
| 1177 |
"learning_rate": 9.688679307166854e-05,
|
| 1178 |
+
"loss": 0.0015380227705463767,
|
| 1179 |
"memory/device_reserved (GiB)": 35.98,
|
| 1180 |
"memory/max_active (GiB)": 33.86,
|
| 1181 |
"memory/max_allocated (GiB)": 33.86,
|
| 1182 |
+
"ppl": 1.00154,
|
| 1183 |
"step": 84,
|
| 1184 |
"tokens/total": 2541984,
|
| 1185 |
+
"tokens/train_per_sec_per_gpu": 33.87,
|
| 1186 |
"tokens/trainable": 38303
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 0.33203125,
|
| 1190 |
+
"grad_norm": 0.1656680703163147,
|
| 1191 |
"learning_rate": 9.677982558839042e-05,
|
| 1192 |
+
"loss": 0.0007727849297225475,
|
| 1193 |
"memory/device_reserved (GiB)": 35.98,
|
| 1194 |
"memory/max_active (GiB)": 33.69,
|
| 1195 |
"memory/max_allocated (GiB)": 33.69,
|
| 1196 |
+
"ppl": 1.00077,
|
| 1197 |
"step": 85,
|
| 1198 |
"tokens/total": 2572224,
|
| 1199 |
+
"tokens/train_per_sec_per_gpu": 33.62,
|
| 1200 |
"tokens/trainable": 38758
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
"epoch": 0.3359375,
|
| 1204 |
+
"grad_norm": 1.7784565687179565,
|
| 1205 |
"learning_rate": 9.66711194760312e-05,
|
| 1206 |
+
"loss": 0.00887264870107174,
|
| 1207 |
"memory/device_reserved (GiB)": 35.98,
|
| 1208 |
"memory/max_active (GiB)": 33.86,
|
| 1209 |
"memory/max_allocated (GiB)": 33.86,
|
| 1210 |
+
"ppl": 1.00891,
|
| 1211 |
"step": 86,
|
| 1212 |
"tokens/total": 2602704,
|
| 1213 |
+
"tokens/train_per_sec_per_gpu": 30.62,
|
| 1214 |
"tokens/trainable": 39179
|
| 1215 |
},
|
| 1216 |
{
|
| 1217 |
"epoch": 0.33984375,
|
| 1218 |
+
"grad_norm": 0.6024295687675476,
|
| 1219 |
"learning_rate": 9.656067925829593e-05,
|
| 1220 |
+
"loss": 0.013714440166950226,
|
| 1221 |
"memory/device_reserved (GiB)": 35.98,
|
| 1222 |
"memory/max_active (GiB)": 33.88,
|
| 1223 |
"memory/max_allocated (GiB)": 33.88,
|
| 1224 |
+
"ppl": 1.01381,
|
| 1225 |
"step": 87,
|
| 1226 |
"tokens/total": 2633072,
|
| 1227 |
+
"tokens/train_per_sec_per_gpu": 35.29,
|
| 1228 |
"tokens/trainable": 39679
|
| 1229 |
},
|
| 1230 |
{
|
| 1231 |
"epoch": 0.34375,
|
| 1232 |
+
"grad_norm": 3.774395704269409,
|
| 1233 |
"learning_rate": 9.644850953105288e-05,
|
| 1234 |
+
"loss": 0.021049978211522102,
|
| 1235 |
"memory/device_reserved (GiB)": 35.98,
|
| 1236 |
"memory/max_active (GiB)": 33.73,
|
| 1237 |
"memory/max_allocated (GiB)": 33.73,
|
| 1238 |
+
"ppl": 1.02127,
|
| 1239 |
"step": 88,
|
| 1240 |
"tokens/total": 2663232,
|
| 1241 |
+
"tokens/train_per_sec_per_gpu": 32.65,
|
| 1242 |
"tokens/trainable": 40118
|
| 1243 |
},
|
| 1244 |
{
|
| 1245 |
"epoch": 0.34765625,
|
| 1246 |
+
"grad_norm": 0.20895183086395264,
|
| 1247 |
"learning_rate": 9.633461496214225e-05,
|
| 1248 |
+
"loss": 0.0025408377405256033,
|
| 1249 |
"memory/device_reserved (GiB)": 35.98,
|
| 1250 |
"memory/max_active (GiB)": 33.87,
|
| 1251 |
"memory/max_allocated (GiB)": 33.87,
|
| 1252 |
+
"ppl": 1.00254,
|
| 1253 |
"step": 89,
|
| 1254 |
"tokens/total": 2693696,
|
| 1255 |
+
"tokens/train_per_sec_per_gpu": 32.76,
|
| 1256 |
"tokens/trainable": 40571
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
"epoch": 0.3515625,
|
| 1260 |
+
"grad_norm": 0.3318273425102234,
|
| 1261 |
"learning_rate": 9.621900029118195e-05,
|
| 1262 |
+
"loss": 0.0036354511976242065,
|
| 1263 |
"memory/device_reserved (GiB)": 35.98,
|
| 1264 |
"memory/max_active (GiB)": 33.82,
|
| 1265 |
"memory/max_allocated (GiB)": 33.82,
|
| 1266 |
+
"ppl": 1.00364,
|
| 1267 |
"step": 90,
|
| 1268 |
"tokens/total": 2723984,
|
| 1269 |
+
"tokens/train_per_sec_per_gpu": 30.75,
|
| 1270 |
"tokens/trainable": 40997
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
"epoch": 0.35546875,
|
| 1274 |
+
"grad_norm": 0.44360974431037903,
|
| 1275 |
"learning_rate": 9.610167032937036e-05,
|
| 1276 |
+
"loss": 0.007065630983561277,
|
| 1277 |
"memory/device_reserved (GiB)": 35.98,
|
| 1278 |
"memory/max_active (GiB)": 33.82,
|
| 1279 |
"memory/max_allocated (GiB)": 33.82,
|
| 1280 |
+
"ppl": 1.00709,
|
| 1281 |
"step": 91,
|
| 1282 |
"tokens/total": 2754240,
|
| 1283 |
+
"tokens/train_per_sec_per_gpu": 36.46,
|
| 1284 |
"tokens/trainable": 41462
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 0.359375,
|
| 1288 |
+
"grad_norm": 0.887543797492981,
|
| 1289 |
"learning_rate": 9.598262995928611e-05,
|
| 1290 |
+
"loss": 0.01106376200914383,
|
| 1291 |
"memory/device_reserved (GiB)": 35.98,
|
| 1292 |
"memory/max_active (GiB)": 33.89,
|
| 1293 |
"memory/max_allocated (GiB)": 33.89,
|
| 1294 |
+
"ppl": 1.01113,
|
| 1295 |
"step": 92,
|
| 1296 |
"tokens/total": 2784672,
|
| 1297 |
+
"tokens/train_per_sec_per_gpu": 36.79,
|
| 1298 |
"tokens/trainable": 41927
|
| 1299 |
},
|
| 1300 |
{
|
| 1301 |
"epoch": 0.36328125,
|
| 1302 |
+
"grad_norm": 1.7098511457443237,
|
| 1303 |
"learning_rate": 9.586188413468492e-05,
|
| 1304 |
+
"loss": 0.02100781723856926,
|
| 1305 |
"memory/device_reserved (GiB)": 35.98,
|
| 1306 |
"memory/max_active (GiB)": 33.83,
|
| 1307 |
"memory/max_allocated (GiB)": 33.83,
|
| 1308 |
+
"ppl": 1.02123,
|
| 1309 |
"step": 93,
|
| 1310 |
"tokens/total": 2815120,
|
| 1311 |
+
"tokens/train_per_sec_per_gpu": 34.84,
|
| 1312 |
"tokens/trainable": 42397
|
| 1313 |
},
|
| 1314 |
{
|
| 1315 |
"epoch": 0.3671875,
|
| 1316 |
+
"grad_norm": 0.05345788225531578,
|
| 1317 |
"learning_rate": 9.57394378802934e-05,
|
| 1318 |
+
"loss": 0.0007664336590096354,
|
| 1319 |
"memory/device_reserved (GiB)": 35.98,
|
| 1320 |
"memory/max_active (GiB)": 33.97,
|
| 1321 |
"memory/max_allocated (GiB)": 33.97,
|
| 1322 |
"ppl": 1.00077,
|
| 1323 |
"step": 94,
|
| 1324 |
"tokens/total": 2845600,
|
| 1325 |
+
"tokens/train_per_sec_per_gpu": 36.55,
|
| 1326 |
"tokens/trainable": 42883
|
| 1327 |
},
|
| 1328 |
{
|
| 1329 |
"epoch": 0.37109375,
|
| 1330 |
+
"grad_norm": 0.3566146492958069,
|
| 1331 |
"learning_rate": 9.56152962916e-05,
|
| 1332 |
+
"loss": 0.001947208889760077,
|
| 1333 |
"memory/device_reserved (GiB)": 35.98,
|
| 1334 |
"memory/max_active (GiB)": 33.87,
|
| 1335 |
"memory/max_allocated (GiB)": 33.87,
|
| 1336 |
+
"ppl": 1.00195,
|
| 1337 |
"step": 95,
|
| 1338 |
"tokens/total": 2875952,
|
| 1339 |
+
"tokens/train_per_sec_per_gpu": 38.67,
|
| 1340 |
"tokens/trainable": 43381
|
| 1341 |
},
|
| 1342 |
{
|
| 1343 |
"epoch": 0.375,
|
| 1344 |
+
"grad_norm": 0.6130653023719788,
|
| 1345 |
"learning_rate": 9.548946453464296e-05,
|
| 1346 |
+
"loss": 0.011625099927186966,
|
| 1347 |
"memory/device_reserved (GiB)": 35.98,
|
| 1348 |
"memory/max_active (GiB)": 33.9,
|
| 1349 |
"memory/max_allocated (GiB)": 33.9,
|
| 1350 |
+
"ppl": 1.01169,
|
| 1351 |
"step": 96,
|
| 1352 |
"tokens/total": 2906288,
|
| 1353 |
+
"tokens/train_per_sec_per_gpu": 32.99,
|
| 1354 |
"tokens/trainable": 43824
|
| 1355 |
},
|
| 1356 |
{
|
| 1357 |
"epoch": 0.37890625,
|
| 1358 |
+
"grad_norm": 0.5786341428756714,
|
| 1359 |
"learning_rate": 9.53619478457953e-05,
|
| 1360 |
+
"loss": 0.0046112253330647945,
|
| 1361 |
"memory/device_reserved (GiB)": 35.98,
|
| 1362 |
"memory/max_active (GiB)": 33.89,
|
| 1363 |
"memory/max_allocated (GiB)": 33.89,
|
| 1364 |
+
"ppl": 1.00462,
|
| 1365 |
"step": 97,
|
| 1366 |
"tokens/total": 2936752,
|
| 1367 |
+
"tokens/train_per_sec_per_gpu": 31.51,
|
| 1368 |
"tokens/trainable": 44255
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
"epoch": 0.3828125,
|
| 1372 |
+
"grad_norm": 0.4321880340576172,
|
| 1373 |
"learning_rate": 9.523275153154695e-05,
|
| 1374 |
+
"loss": 0.003710552118718624,
|
| 1375 |
"memory/device_reserved (GiB)": 35.19,
|
| 1376 |
"memory/max_active (GiB)": 33.92,
|
| 1377 |
"memory/max_allocated (GiB)": 33.92,
|
| 1378 |
+
"ppl": 1.00372,
|
| 1379 |
"step": 98,
|
| 1380 |
"tokens/total": 2967072,
|
| 1381 |
+
"tokens/train_per_sec_per_gpu": 37.74,
|
| 1382 |
"tokens/trainable": 44739
|
| 1383 |
},
|
| 1384 |
{
|
| 1385 |
"epoch": 0.38671875,
|
| 1386 |
+
"grad_norm": 0.16571089625358582,
|
| 1387 |
"learning_rate": 9.51018809682839e-05,
|
| 1388 |
+
"loss": 0.00260853860527277,
|
| 1389 |
"memory/device_reserved (GiB)": 35.76,
|
| 1390 |
"memory/max_active (GiB)": 34.03,
|
| 1391 |
"memory/max_allocated (GiB)": 34.03,
|
| 1392 |
+
"ppl": 1.00261,
|
| 1393 |
"step": 99,
|
| 1394 |
"tokens/total": 2997664,
|
| 1395 |
+
"tokens/train_per_sec_per_gpu": 36.2,
|
| 1396 |
"tokens/trainable": 45202
|
| 1397 |
},
|
| 1398 |
{
|
| 1399 |
"epoch": 0.390625,
|
| 1400 |
+
"grad_norm": 0.4386274516582489,
|
| 1401 |
"learning_rate": 9.49693416020645e-05,
|
| 1402 |
+
"loss": 0.005652088671922684,
|
| 1403 |
"memory/device_reserved (GiB)": 35.99,
|
| 1404 |
"memory/max_active (GiB)": 33.88,
|
| 1405 |
"memory/max_allocated (GiB)": 33.88,
|
| 1406 |
+
"ppl": 1.00567,
|
| 1407 |
"step": 100,
|
| 1408 |
"tokens/total": 3028032,
|
| 1409 |
+
"tokens/train_per_sec_per_gpu": 33.05,
|
| 1410 |
"tokens/trainable": 45646
|
| 1411 |
},
|
| 1412 |
{
|
| 1413 |
"epoch": 0.39453125,
|
| 1414 |
+
"grad_norm": 0.12225741147994995,
|
| 1415 |
"learning_rate": 9.483513894839276e-05,
|
| 1416 |
+
"loss": 0.0015262231463566422,
|
| 1417 |
"memory/device_reserved (GiB)": 35.99,
|
| 1418 |
"memory/max_active (GiB)": 33.82,
|
| 1419 |
"memory/max_allocated (GiB)": 33.82,
|
| 1420 |
+
"ppl": 1.00153,
|
| 1421 |
"step": 101,
|
| 1422 |
"tokens/total": 3058272,
|
| 1423 |
+
"tokens/train_per_sec_per_gpu": 33.08,
|
| 1424 |
"tokens/trainable": 46089
|
| 1425 |
},
|
| 1426 |
{
|
| 1427 |
"epoch": 0.3984375,
|
| 1428 |
+
"grad_norm": 0.779109537601471,
|
| 1429 |
"learning_rate": 9.469927859198888e-05,
|
| 1430 |
+
"loss": 0.007584188133478165,
|
| 1431 |
"memory/device_reserved (GiB)": 35.99,
|
| 1432 |
"memory/max_active (GiB)": 33.89,
|
| 1433 |
"memory/max_allocated (GiB)": 33.89,
|
| 1434 |
+
"ppl": 1.00761,
|
| 1435 |
"step": 102,
|
| 1436 |
"tokens/total": 3088848,
|
| 1437 |
+
"tokens/train_per_sec_per_gpu": 32.55,
|
| 1438 |
"tokens/trainable": 46547
|
| 1439 |
},
|
| 1440 |
{
|
| 1441 |
"epoch": 0.40234375,
|
| 1442 |
+
"grad_norm": 0.19508829712867737,
|
| 1443 |
"learning_rate": 9.456176618655689e-05,
|
| 1444 |
+
"loss": 0.0021933168172836304,
|
| 1445 |
"memory/device_reserved (GiB)": 35.99,
|
| 1446 |
"memory/max_active (GiB)": 33.91,
|
| 1447 |
"memory/max_allocated (GiB)": 33.91,
|
| 1448 |
+
"ppl": 1.0022,
|
| 1449 |
"step": 103,
|
| 1450 |
"tokens/total": 3119424,
|
| 1451 |
+
"tokens/train_per_sec_per_gpu": 31.96,
|
| 1452 |
"tokens/trainable": 47014
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
"epoch": 0.40625,
|
| 1456 |
+
"grad_norm": 0.349365770816803,
|
| 1457 |
"learning_rate": 9.442260745454927e-05,
|
| 1458 |
+
"loss": 0.007655802182853222,
|
| 1459 |
"memory/device_reserved (GiB)": 36.0,
|
| 1460 |
"memory/max_active (GiB)": 33.81,
|
| 1461 |
"memory/max_allocated (GiB)": 33.81,
|
| 1462 |
+
"ppl": 1.00769,
|
| 1463 |
"step": 104,
|
| 1464 |
"tokens/total": 3149696,
|
| 1465 |
+
"tokens/train_per_sec_per_gpu": 37.71,
|
| 1466 |
"tokens/trainable": 47503
|
| 1467 |
},
|
| 1468 |
{
|
| 1469 |
"epoch": 0.41015625,
|
| 1470 |
+
"grad_norm": 0.3205769956111908,
|
| 1471 |
"learning_rate": 9.428180818692884e-05,
|
| 1472 |
+
"loss": 0.0014675151323899627,
|
| 1473 |
"memory/device_reserved (GiB)": 36.0,
|
| 1474 |
"memory/max_active (GiB)": 33.83,
|
| 1475 |
"memory/max_allocated (GiB)": 33.83,
|
| 1476 |
+
"ppl": 1.00147,
|
| 1477 |
"step": 105,
|
| 1478 |
"tokens/total": 3180064,
|
| 1479 |
+
"tokens/train_per_sec_per_gpu": 36.27,
|
| 1480 |
"tokens/trainable": 47996
|
| 1481 |
},
|
| 1482 |
{
|
| 1483 |
"epoch": 0.4140625,
|
| 1484 |
+
"grad_norm": 0.23203934729099274,
|
| 1485 |
"learning_rate": 9.413937424292791e-05,
|
| 1486 |
+
"loss": 0.001969895325601101,
|
| 1487 |
"memory/device_reserved (GiB)": 36.0,
|
| 1488 |
"memory/max_active (GiB)": 33.39,
|
| 1489 |
"memory/max_allocated (GiB)": 33.39,
|
| 1490 |
+
"ppl": 1.00197,
|
| 1491 |
"step": 106,
|
| 1492 |
"tokens/total": 3208320,
|
| 1493 |
+
"tokens/train_per_sec_per_gpu": 34.06,
|
| 1494 |
"tokens/trainable": 48447
|
| 1495 |
},
|
| 1496 |
{
|
| 1497 |
"epoch": 0.41796875,
|
| 1498 |
+
"grad_norm": 0.050742585211992264,
|
| 1499 |
"learning_rate": 9.399531154980424e-05,
|
| 1500 |
+
"loss": 0.00028503642533905804,
|
| 1501 |
"memory/device_reserved (GiB)": 36.0,
|
| 1502 |
"memory/max_active (GiB)": 33.74,
|
| 1503 |
"memory/max_allocated (GiB)": 33.74,
|
| 1504 |
+
"ppl": 1.00029,
|
| 1505 |
"step": 107,
|
| 1506 |
"tokens/total": 3238416,
|
| 1507 |
+
"tokens/train_per_sec_per_gpu": 30.69,
|
| 1508 |
"tokens/trainable": 48889
|
| 1509 |
},
|
| 1510 |
{
|
| 1511 |
"epoch": 0.421875,
|
| 1512 |
+
"grad_norm": 0.68248450756073,
|
| 1513 |
"learning_rate": 9.384962610259455e-05,
|
| 1514 |
+
"loss": 0.0026741819456219673,
|
| 1515 |
"memory/device_reserved (GiB)": 36.0,
|
| 1516 |
"memory/max_active (GiB)": 33.82,
|
| 1517 |
"memory/max_allocated (GiB)": 33.82,
|
| 1518 |
+
"ppl": 1.00268,
|
| 1519 |
"step": 108,
|
| 1520 |
"tokens/total": 3268784,
|
| 1521 |
+
"tokens/train_per_sec_per_gpu": 37.89,
|
| 1522 |
"tokens/trainable": 49360
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
"epoch": 0.42578125,
|
| 1526 |
+
"grad_norm": 0.2664353549480438,
|
| 1527 |
"learning_rate": 9.370232396386494e-05,
|
| 1528 |
+
"loss": 0.0014279462629929185,
|
| 1529 |
"memory/device_reserved (GiB)": 36.0,
|
| 1530 |
"memory/max_active (GiB)": 33.79,
|
| 1531 |
"memory/max_allocated (GiB)": 33.79,
|
| 1532 |
+
"ppl": 1.00143,
|
| 1533 |
"step": 109,
|
| 1534 |
"tokens/total": 3298912,
|
| 1535 |
+
"tokens/train_per_sec_per_gpu": 36.78,
|
| 1536 |
"tokens/trainable": 49827
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
"epoch": 0.4296875,
|
| 1540 |
+
"grad_norm": 0.12221308797597885,
|
| 1541 |
"learning_rate": 9.355341126345868e-05,
|
| 1542 |
+
"loss": 0.0007402317132800817,
|
| 1543 |
"memory/device_reserved (GiB)": 36.0,
|
| 1544 |
"memory/max_active (GiB)": 33.99,
|
| 1545 |
"memory/max_allocated (GiB)": 33.99,
|
| 1546 |
+
"ppl": 1.00074,
|
| 1547 |
"step": 110,
|
| 1548 |
"tokens/total": 3329232,
|
| 1549 |
+
"tokens/train_per_sec_per_gpu": 34.31,
|
| 1550 |
"tokens/trainable": 50267
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 0.43359375,
|
| 1554 |
+
"grad_norm": 1.2223896980285645,
|
| 1555 |
"learning_rate": 9.340289419824107e-05,
|
| 1556 |
+
"loss": 0.020261401310563087,
|
| 1557 |
"memory/device_reserved (GiB)": 36.0,
|
| 1558 |
"memory/max_active (GiB)": 33.8,
|
| 1559 |
"memory/max_allocated (GiB)": 33.8,
|
| 1560 |
+
"ppl": 1.02047,
|
| 1561 |
"step": 111,
|
| 1562 |
"tokens/total": 3359440,
|
| 1563 |
+
"tokens/train_per_sec_per_gpu": 33.41,
|
| 1564 |
"tokens/trainable": 50711
|
| 1565 |
},
|
| 1566 |
{
|
| 1567 |
"epoch": 0.4375,
|
| 1568 |
+
"grad_norm": 1.2567111253738403,
|
| 1569 |
"learning_rate": 9.325077903184159e-05,
|
| 1570 |
+
"loss": 0.012774579226970673,
|
| 1571 |
"memory/device_reserved (GiB)": 36.0,
|
| 1572 |
"memory/max_active (GiB)": 33.74,
|
| 1573 |
"memory/max_allocated (GiB)": 33.74,
|
| 1574 |
+
"ppl": 1.01286,
|
| 1575 |
"step": 112,
|
| 1576 |
"tokens/total": 3389472,
|
| 1577 |
+
"tokens/train_per_sec_per_gpu": 31.59,
|
| 1578 |
"tokens/trainable": 51157
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 0.44140625,
|
| 1582 |
+
"grad_norm": 0.8144268989562988,
|
| 1583 |
"learning_rate": 9.30970720943932e-05,
|
| 1584 |
+
"loss": 0.005420445930212736,
|
| 1585 |
"memory/device_reserved (GiB)": 36.0,
|
| 1586 |
"memory/max_active (GiB)": 33.9,
|
| 1587 |
"memory/max_allocated (GiB)": 33.9,
|
| 1588 |
+
"ppl": 1.00544,
|
| 1589 |
"step": 113,
|
| 1590 |
"tokens/total": 3419920,
|
| 1591 |
+
"tokens/train_per_sec_per_gpu": 32.71,
|
| 1592 |
"tokens/trainable": 51613
|
| 1593 |
},
|
| 1594 |
{
|
| 1595 |
"epoch": 0.4453125,
|
| 1596 |
+
"grad_norm": 1.3511962890625,
|
| 1597 |
"learning_rate": 9.2941779782269e-05,
|
| 1598 |
+
"loss": 0.004596072714775801,
|
| 1599 |
"memory/device_reserved (GiB)": 36.0,
|
| 1600 |
"memory/max_active (GiB)": 33.78,
|
| 1601 |
"memory/max_allocated (GiB)": 33.78,
|
| 1602 |
+
"ppl": 1.00461,
|
| 1603 |
"step": 114,
|
| 1604 |
"tokens/total": 3450176,
|
| 1605 |
+
"tokens/train_per_sec_per_gpu": 29.1,
|
| 1606 |
"tokens/trainable": 52017
|
| 1607 |
},
|
| 1608 |
{
|
| 1609 |
"epoch": 0.44921875,
|
| 1610 |
+
"grad_norm": 2.76552677154541,
|
| 1611 |
"learning_rate": 9.278490855781596e-05,
|
| 1612 |
+
"loss": 0.005162997171282768,
|
| 1613 |
"memory/device_reserved (GiB)": 36.0,
|
| 1614 |
"memory/max_active (GiB)": 33.87,
|
| 1615 |
"memory/max_allocated (GiB)": 33.87,
|
| 1616 |
+
"ppl": 1.00518,
|
| 1617 |
"step": 115,
|
| 1618 |
"tokens/total": 3480544,
|
| 1619 |
+
"tokens/train_per_sec_per_gpu": 36.22,
|
| 1620 |
"tokens/trainable": 52506
|
| 1621 |
},
|
| 1622 |
{
|
| 1623 |
"epoch": 0.453125,
|
| 1624 |
+
"grad_norm": 1.7830004692077637,
|
| 1625 |
"learning_rate": 9.262646494908604e-05,
|
| 1626 |
+
"loss": 0.024823248386383057,
|
| 1627 |
"memory/device_reserved (GiB)": 36.0,
|
| 1628 |
"memory/max_active (GiB)": 33.81,
|
| 1629 |
"memory/max_allocated (GiB)": 33.81,
|
| 1630 |
+
"ppl": 1.02513,
|
| 1631 |
"step": 116,
|
| 1632 |
"tokens/total": 3510848,
|
| 1633 |
+
"tokens/train_per_sec_per_gpu": 38.63,
|
| 1634 |
"tokens/trainable": 53008
|
| 1635 |
},
|
| 1636 |
{
|
| 1637 |
"epoch": 0.45703125,
|
| 1638 |
+
"grad_norm": 0.8680487275123596,
|
| 1639 |
"learning_rate": 9.246645554956457e-05,
|
| 1640 |
+
"loss": 0.012252703309059143,
|
| 1641 |
"memory/device_reserved (GiB)": 36.0,
|
| 1642 |
"memory/max_active (GiB)": 33.96,
|
| 1643 |
"memory/max_allocated (GiB)": 33.96,
|
| 1644 |
+
"ppl": 1.01233,
|
| 1645 |
"step": 117,
|
| 1646 |
"tokens/total": 3541296,
|
| 1647 |
+
"tokens/train_per_sec_per_gpu": 35.36,
|
| 1648 |
"tokens/trainable": 53467
|
| 1649 |
},
|
| 1650 |
{
|
| 1651 |
"epoch": 0.4609375,
|
| 1652 |
+
"grad_norm": 0.8030971884727478,
|
| 1653 |
"learning_rate": 9.230488701789578e-05,
|
| 1654 |
+
"loss": 0.01154071744531393,
|
| 1655 |
"memory/device_reserved (GiB)": 36.0,
|
| 1656 |
"memory/max_active (GiB)": 33.97,
|
| 1657 |
"memory/max_allocated (GiB)": 33.97,
|
| 1658 |
+
"ppl": 1.01161,
|
| 1659 |
"step": 118,
|
| 1660 |
"tokens/total": 3571936,
|
| 1661 |
+
"tokens/train_per_sec_per_gpu": 32.8,
|
| 1662 |
"tokens/trainable": 53923
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
"epoch": 0.46484375,
|
| 1666 |
+
"grad_norm": 1.1320112943649292,
|
| 1667 |
"learning_rate": 9.214176607760577e-05,
|
| 1668 |
+
"loss": 0.00475259218364954,
|
| 1669 |
"memory/device_reserved (GiB)": 36.0,
|
| 1670 |
"memory/max_active (GiB)": 33.79,
|
| 1671 |
"memory/max_allocated (GiB)": 33.79,
|
| 1672 |
+
"ppl": 1.00476,
|
| 1673 |
"step": 119,
|
| 1674 |
"tokens/total": 3602000,
|
| 1675 |
"tokens/train_per_sec_per_gpu": 35.58,
|
|
|
|
| 1677 |
},
|
| 1678 |
{
|
| 1679 |
"epoch": 0.46875,
|
| 1680 |
+
"grad_norm": 0.25778594613075256,
|
| 1681 |
"learning_rate": 9.197709951682268e-05,
|
| 1682 |
+
"loss": 0.00691817793995142,
|
| 1683 |
"memory/device_reserved (GiB)": 36.0,
|
| 1684 |
"memory/max_active (GiB)": 33.81,
|
| 1685 |
"memory/max_allocated (GiB)": 33.81,
|
| 1686 |
+
"ppl": 1.00694,
|
| 1687 |
"step": 120,
|
| 1688 |
"tokens/total": 3632288,
|
| 1689 |
+
"tokens/train_per_sec_per_gpu": 35.18,
|
| 1690 |
"tokens/trainable": 54839
|
| 1691 |
},
|
| 1692 |
{
|
| 1693 |
"epoch": 0.47265625,
|
| 1694 |
+
"grad_norm": 0.3193860948085785,
|
| 1695 |
"learning_rate": 9.181089418799428e-05,
|
| 1696 |
+
"loss": 0.0037792143411934376,
|
| 1697 |
"memory/device_reserved (GiB)": 36.0,
|
| 1698 |
"memory/max_active (GiB)": 33.82,
|
| 1699 |
"memory/max_allocated (GiB)": 33.82,
|
| 1700 |
+
"ppl": 1.00379,
|
| 1701 |
"step": 121,
|
| 1702 |
"tokens/total": 3662608,
|
| 1703 |
+
"tokens/train_per_sec_per_gpu": 32.59,
|
| 1704 |
"tokens/trainable": 55267
|
| 1705 |
},
|
| 1706 |
{
|
| 1707 |
"epoch": 0.4765625,
|
| 1708 |
+
"grad_norm": 0.34393274784088135,
|
| 1709 |
"learning_rate": 9.164315700760271e-05,
|
| 1710 |
+
"loss": 0.0042166681960225105,
|
| 1711 |
"memory/device_reserved (GiB)": 36.0,
|
| 1712 |
"memory/max_active (GiB)": 33.77,
|
| 1713 |
"memory/max_allocated (GiB)": 33.77,
|
| 1714 |
+
"ppl": 1.00423,
|
| 1715 |
"step": 122,
|
| 1716 |
"tokens/total": 3692864,
|
| 1717 |
+
"tokens/train_per_sec_per_gpu": 30.52,
|
| 1718 |
"tokens/trainable": 55700
|
| 1719 |
},
|
| 1720 |
{
|
| 1721 |
"epoch": 0.48046875,
|
| 1722 |
+
"grad_norm": 0.4916401505470276,
|
| 1723 |
"learning_rate": 9.147389495587671e-05,
|
| 1724 |
+
"loss": 0.0038735629059374332,
|
| 1725 |
"memory/device_reserved (GiB)": 36.0,
|
| 1726 |
"memory/max_active (GiB)": 33.73,
|
| 1727 |
"memory/max_allocated (GiB)": 33.73,
|
| 1728 |
+
"ppl": 1.00388,
|
| 1729 |
"step": 123,
|
| 1730 |
"tokens/total": 3722864,
|
| 1731 |
+
"tokens/train_per_sec_per_gpu": 33.39,
|
| 1732 |
"tokens/trainable": 56144
|
| 1733 |
},
|
| 1734 |
{
|
| 1735 |
"epoch": 0.484375,
|
| 1736 |
+
"grad_norm": 0.39921140670776367,
|
| 1737 |
"learning_rate": 9.130311507650116e-05,
|
| 1738 |
+
"loss": 0.004010441247373819,
|
| 1739 |
"memory/device_reserved (GiB)": 36.0,
|
| 1740 |
"memory/max_active (GiB)": 33.77,
|
| 1741 |
"memory/max_allocated (GiB)": 33.77,
|
| 1742 |
+
"ppl": 1.00402,
|
| 1743 |
"step": 124,
|
| 1744 |
"tokens/total": 3753056,
|
| 1745 |
+
"tokens/train_per_sec_per_gpu": 33.12,
|
| 1746 |
"tokens/trainable": 56589
|
| 1747 |
},
|
| 1748 |
{
|
| 1749 |
"epoch": 0.48828125,
|
| 1750 |
+
"grad_norm": 0.4556286633014679,
|
| 1751 |
"learning_rate": 9.113082447632394e-05,
|
| 1752 |
+
"loss": 0.005605827085673809,
|
| 1753 |
"memory/device_reserved (GiB)": 36.0,
|
| 1754 |
"memory/max_active (GiB)": 33.82,
|
| 1755 |
"memory/max_allocated (GiB)": 33.82,
|
| 1756 |
+
"ppl": 1.00562,
|
| 1757 |
"step": 125,
|
| 1758 |
"tokens/total": 3783312,
|
| 1759 |
+
"tokens/train_per_sec_per_gpu": 36.68,
|
| 1760 |
"tokens/trainable": 57081
|
| 1761 |
},
|
| 1762 |
{
|
| 1763 |
"epoch": 0.4921875,
|
| 1764 |
+
"grad_norm": 0.041882507503032684,
|
| 1765 |
"learning_rate": 9.09570303250602e-05,
|
| 1766 |
+
"loss": 0.0005784470704384148,
|
| 1767 |
"memory/device_reserved (GiB)": 36.0,
|
| 1768 |
"memory/max_active (GiB)": 33.88,
|
| 1769 |
"memory/max_allocated (GiB)": 33.88,
|
| 1770 |
+
"ppl": 1.00058,
|
| 1771 |
"step": 126,
|
| 1772 |
"tokens/total": 3813712,
|
| 1773 |
+
"tokens/train_per_sec_per_gpu": 32.87,
|
| 1774 |
"tokens/trainable": 57527
|
| 1775 |
},
|
| 1776 |
{
|
| 1777 |
"epoch": 0.49609375,
|
| 1778 |
+
"grad_norm": 0.21823598444461823,
|
| 1779 |
"learning_rate": 9.078173985499394e-05,
|
| 1780 |
+
"loss": 0.0024290401488542557,
|
| 1781 |
"memory/device_reserved (GiB)": 36.0,
|
| 1782 |
"memory/max_active (GiB)": 33.94,
|
| 1783 |
"memory/max_allocated (GiB)": 33.94,
|
| 1784 |
+
"ppl": 1.00243,
|
| 1785 |
"step": 127,
|
| 1786 |
"tokens/total": 3844336,
|
| 1787 |
+
"tokens/train_per_sec_per_gpu": 34.84,
|
| 1788 |
"tokens/trainable": 58005
|
| 1789 |
},
|
| 1790 |
{
|
| 1791 |
"epoch": 0.5,
|
| 1792 |
+
"grad_norm": 0.4637400209903717,
|
| 1793 |
"learning_rate": 9.060496036067713e-05,
|
| 1794 |
+
"loss": 0.001603663433343172,
|
| 1795 |
"memory/device_reserved (GiB)": 36.0,
|
| 1796 |
"memory/max_active (GiB)": 33.39,
|
| 1797 |
"memory/max_allocated (GiB)": 33.39,
|
| 1798 |
+
"ppl": 1.0016,
|
| 1799 |
"step": 128,
|
| 1800 |
"tokens/total": 3872688,
|
| 1801 |
"tokens/train_per_sec_per_gpu": 35.21,
|
|
|
|
| 1803 |
},
|
| 1804 |
{
|
| 1805 |
"epoch": 0.50390625,
|
| 1806 |
+
"grad_norm": 0.03311942145228386,
|
| 1807 |
"learning_rate": 9.042669919862615e-05,
|
| 1808 |
+
"loss": 0.00027762592071667314,
|
| 1809 |
"memory/device_reserved (GiB)": 36.0,
|
| 1810 |
"memory/max_active (GiB)": 33.64,
|
| 1811 |
"memory/max_allocated (GiB)": 33.64,
|
| 1812 |
+
"ppl": 1.00028,
|
| 1813 |
"step": 129,
|
| 1814 |
"tokens/total": 3902640,
|
| 1815 |
+
"tokens/train_per_sec_per_gpu": 31.97,
|
| 1816 |
"tokens/trainable": 58896
|
| 1817 |
},
|
| 1818 |
{
|
| 1819 |
"epoch": 0.5078125,
|
| 1820 |
+
"grad_norm": 0.019396035000681877,
|
| 1821 |
"learning_rate": 9.024696378701557e-05,
|
| 1822 |
+
"loss": 8.183176396414638e-05,
|
| 1823 |
"memory/device_reserved (GiB)": 34.68,
|
| 1824 |
"memory/max_active (GiB)": 33.84,
|
| 1825 |
"memory/max_allocated (GiB)": 33.84,
|
| 1826 |
+
"ppl": 1.00008,
|
| 1827 |
"step": 130,
|
| 1828 |
"tokens/total": 3933104,
|
| 1829 |
+
"tokens/train_per_sec_per_gpu": 35.8,
|
| 1830 |
"tokens/trainable": 59356
|
| 1831 |
},
|
| 1832 |
{
|
| 1833 |
"epoch": 0.51171875,
|
| 1834 |
+
"grad_norm": 0.3952345848083496,
|
| 1835 |
"learning_rate": 9.006576160536948e-05,
|
| 1836 |
+
"loss": 0.005079061258584261,
|
| 1837 |
"memory/device_reserved (GiB)": 34.92,
|
| 1838 |
"memory/max_active (GiB)": 33.78,
|
| 1839 |
"memory/max_allocated (GiB)": 33.78,
|
| 1840 |
+
"ppl": 1.00509,
|
| 1841 |
"step": 131,
|
| 1842 |
"tokens/total": 3963184,
|
| 1843 |
+
"tokens/train_per_sec_per_gpu": 32.21,
|
| 1844 |
"tokens/trainable": 59792
|
| 1845 |
},
|
| 1846 |
{
|
| 1847 |
"epoch": 0.515625,
|
| 1848 |
+
"grad_norm": 0.03258282318711281,
|
| 1849 |
"learning_rate": 8.988310019425035e-05,
|
| 1850 |
+
"loss": 0.00015263023669831455,
|
| 1851 |
"memory/device_reserved (GiB)": 35.78,
|
| 1852 |
"memory/max_active (GiB)": 33.91,
|
| 1853 |
"memory/max_allocated (GiB)": 33.91,
|
| 1854 |
+
"ppl": 1.00015,
|
| 1855 |
"step": 132,
|
| 1856 |
"tokens/total": 3993648,
|
| 1857 |
+
"tokens/train_per_sec_per_gpu": 35.68,
|
| 1858 |
"tokens/trainable": 60266
|
| 1859 |
},
|
| 1860 |
{
|
| 1861 |
"epoch": 0.51953125,
|
| 1862 |
+
"grad_norm": 0.10869178175926208,
|
| 1863 |
"learning_rate": 8.969898715494506e-05,
|
| 1864 |
+
"loss": 0.00033613567939028144,
|
| 1865 |
"memory/device_reserved (GiB)": 35.78,
|
| 1866 |
"memory/max_active (GiB)": 33.89,
|
| 1867 |
"memory/max_allocated (GiB)": 33.89,
|
| 1868 |
+
"ppl": 1.00034,
|
| 1869 |
"step": 133,
|
| 1870 |
"tokens/total": 4024000,
|
| 1871 |
+
"tokens/train_per_sec_per_gpu": 35.44,
|
| 1872 |
"tokens/trainable": 60759
|
| 1873 |
},
|
| 1874 |
{
|
| 1875 |
"epoch": 0.5234375,
|
| 1876 |
+
"grad_norm": 0.016073748469352722,
|
| 1877 |
"learning_rate": 8.951343014914869e-05,
|
| 1878 |
+
"loss": 0.00014354957966133952,
|
| 1879 |
"memory/device_reserved (GiB)": 35.78,
|
| 1880 |
"memory/max_active (GiB)": 33.39,
|
| 1881 |
"memory/max_allocated (GiB)": 33.39,
|
| 1882 |
+
"ppl": 1.00014,
|
| 1883 |
"step": 134,
|
| 1884 |
"tokens/total": 4052480,
|
| 1885 |
+
"tokens/train_per_sec_per_gpu": 31.76,
|
| 1886 |
"tokens/trainable": 61204
|
| 1887 |
},
|
| 1888 |
{
|
| 1889 |
"epoch": 0.52734375,
|
| 1890 |
+
"grad_norm": 0.5635335445404053,
|
| 1891 |
"learning_rate": 8.932643689864568e-05,
|
| 1892 |
+
"loss": 0.0033080782741308212,
|
| 1893 |
"memory/device_reserved (GiB)": 35.78,
|
| 1894 |
"memory/max_active (GiB)": 33.86,
|
| 1895 |
"memory/max_allocated (GiB)": 33.86,
|
| 1896 |
+
"ppl": 1.00331,
|
| 1897 |
"step": 135,
|
| 1898 |
"tokens/total": 4082864,
|
| 1899 |
+
"tokens/train_per_sec_per_gpu": 35.93,
|
| 1900 |
"tokens/trainable": 61684
|
| 1901 |
},
|
| 1902 |
{
|
| 1903 |
"epoch": 0.53125,
|
| 1904 |
+
"grad_norm": 0.12933659553527832,
|
| 1905 |
"learning_rate": 8.913801518498845e-05,
|
| 1906 |
+
"loss": 0.0003551081463228911,
|
| 1907 |
"memory/device_reserved (GiB)": 35.79,
|
| 1908 |
"memory/max_active (GiB)": 33.7,
|
| 1909 |
"memory/max_allocated (GiB)": 33.7,
|
| 1910 |
+
"ppl": 1.00036,
|
| 1911 |
"step": 136,
|
| 1912 |
"tokens/total": 4113040,
|
| 1913 |
+
"tokens/train_per_sec_per_gpu": 38.22,
|
| 1914 |
"tokens/trainable": 62159
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
"epoch": 0.53515625,
|
| 1918 |
+
"grad_norm": 0.038116879761219025,
|
| 1919 |
"learning_rate": 8.894817284917364e-05,
|
| 1920 |
+
"loss": 0.0002933211508207023,
|
| 1921 |
"memory/device_reserved (GiB)": 35.79,
|
| 1922 |
"memory/max_active (GiB)": 33.88,
|
| 1923 |
"memory/max_allocated (GiB)": 33.88,
|
| 1924 |
+
"ppl": 1.00029,
|
| 1925 |
"step": 137,
|
| 1926 |
"tokens/total": 4143344,
|
| 1927 |
+
"tokens/train_per_sec_per_gpu": 35.28,
|
| 1928 |
"tokens/trainable": 62649
|
| 1929 |
},
|
| 1930 |
{
|
| 1931 |
"epoch": 0.5390625,
|
| 1932 |
+
"grad_norm": 0.4708496928215027,
|
| 1933 |
"learning_rate": 8.875691779131569e-05,
|
| 1934 |
+
"loss": 0.009557873010635376,
|
| 1935 |
"memory/device_reserved (GiB)": 35.79,
|
| 1936 |
"memory/max_active (GiB)": 33.79,
|
| 1937 |
"memory/max_allocated (GiB)": 33.79,
|
| 1938 |
+
"ppl": 1.0096,
|
| 1939 |
"step": 138,
|
| 1940 |
"tokens/total": 4173648,
|
| 1941 |
+
"tokens/train_per_sec_per_gpu": 36.65,
|
| 1942 |
"tokens/trainable": 63100
|
| 1943 |
},
|
| 1944 |
{
|
| 1945 |
"epoch": 0.54296875,
|
| 1946 |
+
"grad_norm": 0.6401950120925903,
|
| 1947 |
"learning_rate": 8.856425797031829e-05,
|
| 1948 |
+
"loss": 0.006467439234256744,
|
| 1949 |
"memory/device_reserved (GiB)": 35.79,
|
| 1950 |
"memory/max_active (GiB)": 33.92,
|
| 1951 |
"memory/max_allocated (GiB)": 33.92,
|
| 1952 |
+
"ppl": 1.00649,
|
| 1953 |
"step": 139,
|
| 1954 |
"tokens/total": 4204080,
|
| 1955 |
+
"tokens/train_per_sec_per_gpu": 37.56,
|
| 1956 |
"tokens/trainable": 63588
|
| 1957 |
},
|
| 1958 |
{
|
| 1959 |
"epoch": 0.546875,
|
| 1960 |
+
"grad_norm": 0.9977340698242188,
|
| 1961 |
"learning_rate": 8.837020140354295e-05,
|
| 1962 |
+
"loss": 0.01085682213306427,
|
| 1963 |
"memory/device_reserved (GiB)": 35.79,
|
| 1964 |
"memory/max_active (GiB)": 33.42,
|
| 1965 |
"memory/max_allocated (GiB)": 33.42,
|
| 1966 |
+
"ppl": 1.01092,
|
| 1967 |
"step": 140,
|
| 1968 |
"tokens/total": 4232400,
|
| 1969 |
+
"tokens/train_per_sec_per_gpu": 33.06,
|
| 1970 |
"tokens/trainable": 64005
|
| 1971 |
},
|
| 1972 |
{
|
| 1973 |
"epoch": 0.55078125,
|
| 1974 |
+
"grad_norm": 0.9310302734375,
|
| 1975 |
"learning_rate": 8.817475616647554e-05,
|
| 1976 |
+
"loss": 0.002832747297361493,
|
| 1977 |
"memory/device_reserved (GiB)": 35.79,
|
| 1978 |
"memory/max_active (GiB)": 33.82,
|
| 1979 |
"memory/max_allocated (GiB)": 33.82,
|
| 1980 |
+
"ppl": 1.00284,
|
| 1981 |
"step": 141,
|
| 1982 |
"tokens/total": 4262624,
|
| 1983 |
+
"tokens/train_per_sec_per_gpu": 35.12,
|
| 1984 |
"tokens/trainable": 64462
|
| 1985 |
},
|
| 1986 |
{
|
| 1987 |
"epoch": 0.5546875,
|
| 1988 |
+
"grad_norm": 0.8448959589004517,
|
| 1989 |
"learning_rate": 8.797793039239017e-05,
|
| 1990 |
+
"loss": 0.00225994479842484,
|
| 1991 |
"memory/device_reserved (GiB)": 35.79,
|
| 1992 |
"memory/max_active (GiB)": 33.94,
|
| 1993 |
"memory/max_allocated (GiB)": 33.94,
|
| 1994 |
+
"ppl": 1.00226,
|
| 1995 |
"step": 142,
|
| 1996 |
"tokens/total": 4293168,
|
| 1997 |
+
"tokens/train_per_sec_per_gpu": 33.93,
|
| 1998 |
"tokens/trainable": 64900
|
| 1999 |
},
|
| 2000 |
{
|
| 2001 |
"epoch": 0.55859375,
|
| 2002 |
+
"grad_norm": 0.1500774621963501,
|
| 2003 |
"learning_rate": 8.777973227201069e-05,
|
| 2004 |
+
"loss": 0.001096544205211103,
|
| 2005 |
"memory/device_reserved (GiB)": 35.79,
|
| 2006 |
"memory/max_active (GiB)": 33.8,
|
| 2007 |
"memory/max_allocated (GiB)": 33.8,
|
| 2008 |
+
"ppl": 1.0011,
|
| 2009 |
"step": 143,
|
| 2010 |
"tokens/total": 4323248,
|
| 2011 |
+
"tokens/train_per_sec_per_gpu": 37.52,
|
| 2012 |
"tokens/trainable": 65379
|
| 2013 |
},
|
| 2014 |
{
|
| 2015 |
"epoch": 0.5625,
|
| 2016 |
+
"grad_norm": 0.7080555558204651,
|
| 2017 |
"learning_rate": 8.758017005316988e-05,
|
| 2018 |
+
"loss": 0.02480880171060562,
|
| 2019 |
"memory/device_reserved (GiB)": 35.79,
|
| 2020 |
"memory/max_active (GiB)": 33.81,
|
| 2021 |
"memory/max_allocated (GiB)": 33.81,
|
| 2022 |
+
"ppl": 1.02512,
|
| 2023 |
"step": 144,
|
| 2024 |
"tokens/total": 4353344,
|
| 2025 |
"tokens/train_per_sec_per_gpu": 36.69,
|
|
|
|
| 2027 |
},
|
| 2028 |
{
|
| 2029 |
"epoch": 0.56640625,
|
| 2030 |
+
"grad_norm": 0.8302886486053467,
|
| 2031 |
"learning_rate": 8.737925204046629e-05,
|
| 2032 |
+
"loss": 0.011632976122200489,
|
| 2033 |
"memory/device_reserved (GiB)": 35.79,
|
| 2034 |
"memory/max_active (GiB)": 33.79,
|
| 2035 |
"memory/max_allocated (GiB)": 33.79,
|
| 2036 |
+
"ppl": 1.0117,
|
| 2037 |
"step": 145,
|
| 2038 |
"tokens/total": 4383584,
|
| 2039 |
+
"tokens/train_per_sec_per_gpu": 32.9,
|
| 2040 |
"tokens/trainable": 66285
|
| 2041 |
},
|
| 2042 |
{
|
| 2043 |
"epoch": 0.5703125,
|
| 2044 |
+
"grad_norm": 0.48007094860076904,
|
| 2045 |
"learning_rate": 8.717698659491851e-05,
|
| 2046 |
+
"loss": 0.006236276589334011,
|
| 2047 |
"memory/device_reserved (GiB)": 35.79,
|
| 2048 |
"memory/max_active (GiB)": 33.74,
|
| 2049 |
"memory/max_allocated (GiB)": 33.74,
|
| 2050 |
+
"ppl": 1.00626,
|
| 2051 |
"step": 146,
|
| 2052 |
"tokens/total": 4413856,
|
| 2053 |
+
"tokens/train_per_sec_per_gpu": 31.52,
|
| 2054 |
"tokens/trainable": 66736
|
| 2055 |
},
|
| 2056 |
{
|
| 2057 |
"epoch": 0.57421875,
|
| 2058 |
+
"grad_norm": 0.2671569585800171,
|
| 2059 |
"learning_rate": 8.697338213361735e-05,
|
| 2060 |
+
"loss": 0.004551246762275696,
|
| 2061 |
"memory/device_reserved (GiB)": 35.79,
|
| 2062 |
"memory/max_active (GiB)": 33.83,
|
| 2063 |
"memory/max_allocated (GiB)": 33.83,
|
| 2064 |
+
"ppl": 1.00456,
|
| 2065 |
"step": 147,
|
| 2066 |
"tokens/total": 4444112,
|
| 2067 |
+
"tokens/train_per_sec_per_gpu": 35.26,
|
| 2068 |
"tokens/trainable": 67150
|
| 2069 |
},
|
| 2070 |
{
|
| 2071 |
"epoch": 0.578125,
|
| 2072 |
+
"grad_norm": 0.2333666980266571,
|
| 2073 |
"learning_rate": 8.676844712937552e-05,
|
| 2074 |
+
"loss": 0.005151683464646339,
|
| 2075 |
"memory/device_reserved (GiB)": 35.79,
|
| 2076 |
"memory/max_active (GiB)": 33.83,
|
| 2077 |
"memory/max_allocated (GiB)": 33.83,
|
| 2078 |
+
"ppl": 1.00516,
|
| 2079 |
"step": 148,
|
| 2080 |
"tokens/total": 4474464,
|
| 2081 |
+
"tokens/train_per_sec_per_gpu": 35.08,
|
| 2082 |
"tokens/trainable": 67633
|
| 2083 |
},
|
| 2084 |
{
|
| 2085 |
"epoch": 0.58203125,
|
| 2086 |
+
"grad_norm": 1.3599361181259155,
|
| 2087 |
"learning_rate": 8.656219011037509e-05,
|
| 2088 |
+
"loss": 0.010383867658674717,
|
| 2089 |
"memory/device_reserved (GiB)": 35.79,
|
| 2090 |
"memory/max_active (GiB)": 33.86,
|
| 2091 |
"memory/max_allocated (GiB)": 33.86,
|
| 2092 |
+
"ppl": 1.01044,
|
| 2093 |
"step": 149,
|
| 2094 |
"tokens/total": 4504880,
|
| 2095 |
+
"tokens/train_per_sec_per_gpu": 33.82,
|
| 2096 |
"tokens/trainable": 68077
|
| 2097 |
},
|
| 2098 |
{
|
| 2099 |
"epoch": 0.5859375,
|
| 2100 |
+
"grad_norm": 0.2275276631116867,
|
| 2101 |
"learning_rate": 8.63546196598125e-05,
|
| 2102 |
+
"loss": 0.0016249704640358686,
|
| 2103 |
"memory/device_reserved (GiB)": 35.79,
|
| 2104 |
"memory/max_active (GiB)": 33.8,
|
| 2105 |
"memory/max_allocated (GiB)": 33.8,
|
| 2106 |
+
"ppl": 1.00163,
|
| 2107 |
"step": 150,
|
| 2108 |
"tokens/total": 4534976,
|
| 2109 |
+
"tokens/train_per_sec_per_gpu": 33.18,
|
| 2110 |
"tokens/trainable": 68545
|
| 2111 |
},
|
| 2112 |
{
|
| 2113 |
"epoch": 0.58984375,
|
| 2114 |
+
"grad_norm": 0.6304328441619873,
|
| 2115 |
"learning_rate": 8.614574441554145e-05,
|
| 2116 |
+
"loss": 0.02714025229215622,
|
| 2117 |
"memory/device_reserved (GiB)": 36.02,
|
| 2118 |
"memory/max_active (GiB)": 33.8,
|
| 2119 |
"memory/max_allocated (GiB)": 33.8,
|
| 2120 |
+
"ppl": 1.02751,
|
| 2121 |
"step": 151,
|
| 2122 |
"tokens/total": 4565088,
|
| 2123 |
+
"tokens/train_per_sec_per_gpu": 30.26,
|
| 2124 |
"tokens/trainable": 69011
|
| 2125 |
},
|
| 2126 |
{
|
| 2127 |
"epoch": 0.59375,
|
| 2128 |
+
"grad_norm": 0.3306228518486023,
|
| 2129 |
"learning_rate": 8.593557306971349e-05,
|
| 2130 |
+
"loss": 0.006482407916337252,
|
| 2131 |
"memory/device_reserved (GiB)": 36.02,
|
| 2132 |
"memory/max_active (GiB)": 33.93,
|
| 2133 |
"memory/max_allocated (GiB)": 33.93,
|
| 2134 |
+
"ppl": 1.0065,
|
| 2135 |
"step": 152,
|
| 2136 |
"tokens/total": 4595600,
|
| 2137 |
+
"tokens/train_per_sec_per_gpu": 35.37,
|
| 2138 |
"tokens/trainable": 69465
|
| 2139 |
},
|
| 2140 |
{
|
| 2141 |
"epoch": 0.59765625,
|
| 2142 |
+
"grad_norm": 2.509195566177368,
|
| 2143 |
"learning_rate": 8.572411436841618e-05,
|
| 2144 |
+
"loss": 0.014876915141940117,
|
| 2145 |
"memory/device_reserved (GiB)": 36.02,
|
| 2146 |
"memory/max_active (GiB)": 33.84,
|
| 2147 |
"memory/max_allocated (GiB)": 33.84,
|
| 2148 |
+
"ppl": 1.01499,
|
| 2149 |
"step": 153,
|
| 2150 |
"tokens/total": 4626032,
|
| 2151 |
+
"tokens/train_per_sec_per_gpu": 33.89,
|
| 2152 |
"tokens/trainable": 69928
|
| 2153 |
},
|
| 2154 |
{
|
| 2155 |
"epoch": 0.6015625,
|
| 2156 |
+
"grad_norm": 0.08186601847410202,
|
| 2157 |
"learning_rate": 8.551137711130922e-05,
|
| 2158 |
+
"loss": 0.0014128303155303001,
|
| 2159 |
"memory/device_reserved (GiB)": 36.02,
|
| 2160 |
"memory/max_active (GiB)": 33.87,
|
| 2161 |
"memory/max_allocated (GiB)": 33.87,
|
| 2162 |
+
"ppl": 1.00141,
|
| 2163 |
"step": 154,
|
| 2164 |
"tokens/total": 4656352,
|
| 2165 |
+
"tokens/train_per_sec_per_gpu": 36.67,
|
| 2166 |
"tokens/trainable": 70395
|
| 2167 |
},
|
| 2168 |
{
|
| 2169 |
"epoch": 0.60546875,
|
| 2170 |
+
"grad_norm": 0.20300441980361938,
|
| 2171 |
"learning_rate": 8.529737015125824e-05,
|
| 2172 |
+
"loss": 0.0016238696407526731,
|
| 2173 |
"memory/device_reserved (GiB)": 36.02,
|
| 2174 |
"memory/max_active (GiB)": 33.85,
|
| 2175 |
"memory/max_allocated (GiB)": 33.85,
|
| 2176 |
+
"ppl": 1.00163,
|
| 2177 |
"step": 155,
|
| 2178 |
"tokens/total": 4684672,
|
| 2179 |
+
"tokens/train_per_sec_per_gpu": 35.58,
|
| 2180 |
"tokens/trainable": 70829
|
| 2181 |
},
|
| 2182 |
{
|
| 2183 |
"epoch": 0.609375,
|
| 2184 |
+
"grad_norm": 0.10475975275039673,
|
| 2185 |
"learning_rate": 8.508210239396639e-05,
|
| 2186 |
+
"loss": 0.0014675778802484274,
|
| 2187 |
"memory/device_reserved (GiB)": 36.02,
|
| 2188 |
"memory/max_active (GiB)": 33.87,
|
| 2189 |
"memory/max_allocated (GiB)": 33.87,
|
| 2190 |
+
"ppl": 1.00147,
|
| 2191 |
"step": 156,
|
| 2192 |
"tokens/total": 4715216,
|
| 2193 |
+
"tokens/train_per_sec_per_gpu": 33.88,
|
| 2194 |
"tokens/trainable": 71287
|
| 2195 |
},
|
| 2196 |
{
|
| 2197 |
"epoch": 0.61328125,
|
| 2198 |
+
"grad_norm": 0.2740918695926666,
|
| 2199 |
"learning_rate": 8.486558279760375e-05,
|
| 2200 |
+
"loss": 0.004101475700736046,
|
| 2201 |
"memory/device_reserved (GiB)": 36.02,
|
| 2202 |
"memory/max_active (GiB)": 33.79,
|
| 2203 |
"memory/max_allocated (GiB)": 33.79,
|
| 2204 |
+
"ppl": 1.00411,
|
| 2205 |
"step": 157,
|
| 2206 |
"tokens/total": 4745376,
|
| 2207 |
"tokens/train_per_sec_per_gpu": 34.95,
|
|
|
|
| 2209 |
},
|
| 2210 |
{
|
| 2211 |
"epoch": 0.6171875,
|
| 2212 |
+
"grad_norm": 0.30794957280158997,
|
| 2213 |
"learning_rate": 8.464782037243449e-05,
|
| 2214 |
+
"loss": 0.0044078221544623375,
|
| 2215 |
"memory/device_reserved (GiB)": 36.02,
|
| 2216 |
"memory/max_active (GiB)": 33.9,
|
| 2217 |
"memory/max_allocated (GiB)": 33.9,
|
| 2218 |
+
"ppl": 1.00442,
|
| 2219 |
"step": 158,
|
| 2220 |
"tokens/total": 4775776,
|
| 2221 |
+
"tokens/train_per_sec_per_gpu": 32.18,
|
| 2222 |
"tokens/trainable": 72185
|
| 2223 |
},
|
| 2224 |
{
|
| 2225 |
"epoch": 0.62109375,
|
| 2226 |
+
"grad_norm": 0.3344379961490631,
|
| 2227 |
"learning_rate": 8.442882418044202e-05,
|
| 2228 |
+
"loss": 0.0035248196218162775,
|
| 2229 |
"memory/device_reserved (GiB)": 36.02,
|
| 2230 |
"memory/max_active (GiB)": 33.75,
|
| 2231 |
"memory/max_allocated (GiB)": 33.75,
|
| 2232 |
+
"ppl": 1.00353,
|
| 2233 |
"step": 159,
|
| 2234 |
"tokens/total": 4805856,
|
| 2235 |
+
"tokens/train_per_sec_per_gpu": 30.54,
|
| 2236 |
"tokens/trainable": 72604
|
| 2237 |
},
|
| 2238 |
{
|
| 2239 |
"epoch": 0.625,
|
| 2240 |
+
"grad_norm": 0.6211779117584229,
|
| 2241 |
"learning_rate": 8.420860333495179e-05,
|
| 2242 |
+
"loss": 0.015572377480566502,
|
| 2243 |
"memory/device_reserved (GiB)": 36.02,
|
| 2244 |
"memory/max_active (GiB)": 33.84,
|
| 2245 |
"memory/max_allocated (GiB)": 33.84,
|
| 2246 |
+
"ppl": 1.01569,
|
| 2247 |
"step": 160,
|
| 2248 |
"tokens/total": 4836304,
|
| 2249 |
+
"tokens/train_per_sec_per_gpu": 31.56,
|
| 2250 |
"tokens/trainable": 73061
|
| 2251 |
}
|
| 2252 |
],
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:addc43eac40d30997d1c96edd95d0d8aa7487e2445c49cdf79b0455430b1de6f
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:834289feb23bb456b63d84cc27297ddd1725ef154d62d8d527a53b53cedfe611
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-192/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:979514659b1d094a5d83c6a774436f5fd92941e721e8bb3985a35bd5290c0c80
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23a261ce3f869037ab38c9c39f4a09db5b4192eefc2f1c20941476fccf6d6cc6
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-224/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c3aa4e3adc3fe3f8661ee9fc04525dc463ece02efbcbd211454e4cf5453d58d
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9662bc0797e0e1db0bc6895c9bc75df80888b1ccb33f4a5b2e1e597ea94d205
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-256/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b6b211172b7b4a5bb9d11be32464c34efea59a5634ffba51e45354ca26a904b
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab3413182334b4b5b58f9552c1fc27cc286a9ac97cb2d2d1d34c873ad1aa0bd7
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-288/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4e11109b420d74bf4d999c5f3db3427d06e66a70f0555f1b6f0ca7230ab9ad49
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a0df4d04b248dc7da2d0087ae63e68d3fd87c683d965824a39664285ade3d5ec
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-32/trainer_state.json
CHANGED
|
@@ -11,7 +11,7 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
-
"grad_norm": 1.
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
@@ -20,12 +20,12 @@
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
-
"tokens/train_per_sec_per_gpu":
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
-
"grad_norm": 1.
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
@@ -34,326 +34,326 @@
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
-
"grad_norm":
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
-
"loss": 0.
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
-
"ppl": 1.
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
-
"grad_norm": 1.
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
-
"loss": 0.
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
-
"ppl": 1.
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
-
"grad_norm": 1.
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
-
"loss": 0.
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
-
"ppl": 1.
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
-
"grad_norm":
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
-
"loss": 0.
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
-
"ppl": 1.
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
-
"tokens/train_per_sec_per_gpu": 32.
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
-
"loss": 0.
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
-
"ppl": 1.
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
-
"grad_norm":
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
-
"loss": 0.
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
-
"ppl": 1.
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
-
"grad_norm":
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
-
"loss": 0.
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
-
"ppl": 1.
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
-
"tokens/train_per_sec_per_gpu": 29.
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
-
"grad_norm":
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
-
"loss": 0.
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
-
"ppl": 1.
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
-
"grad_norm":
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
-
"loss": 0.
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
-
"ppl": 1.
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
-
"tokens/train_per_sec_per_gpu": 33.
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
-
"grad_norm":
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
-
"loss": 0.
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
-
"ppl": 1.
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
-
"grad_norm":
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
-
"loss": 0.
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
-
"ppl": 1.
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
-
"grad_norm": 1.
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
-
"loss": 0.
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
-
"ppl": 1.
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
-
"grad_norm":
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
-
"loss": 0.
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
-
"ppl": 1.
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
-
"grad_norm":
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
-
"loss": 0.
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
-
"ppl": 1.
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
-
"tokens/train_per_sec_per_gpu":
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
-
"grad_norm":
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
-
"loss": 0.
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
-
"ppl": 1.
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
-
"grad_norm":
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
-
"loss": 0.
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
-
"ppl": 1.
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
-
"tokens/train_per_sec_per_gpu":
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
-
"grad_norm": 0.
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
-
"loss": 0.
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
-
"ppl": 1.
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
-
"grad_norm": 1.
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
-
"loss": 0.
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
-
"ppl": 1.
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
-
"tokens/train_per_sec_per_gpu": 39.
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
-
"grad_norm": 0.
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
-
"loss": 0.
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
-
"ppl": 1.
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
-
"grad_norm":
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
-
"loss": 0.
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
-
"ppl": 1.
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
-
"tokens/train_per_sec_per_gpu": 36.
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
-
"grad_norm": 0.
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
-
"loss": 0.
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
-
"ppl": 1.
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
-
"tokens/train_per_sec_per_gpu":
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
-
"grad_norm": 0.
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
-
"loss": 0.
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
-
"ppl": 1.
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
-
"grad_norm":
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
-
"loss": 0.
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
-
"ppl": 1.
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
@@ -361,100 +361,100 @@
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
-
"grad_norm": 0.
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
-
"loss": 0.
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
-
"ppl": 1.
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
-
"grad_norm":
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
-
"loss": 0.
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
-
"ppl": 1.
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
-
"tokens/train_per_sec_per_gpu": 31.
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
-
"grad_norm": 1.
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
-
"loss": 0.
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
-
"ppl": 1.
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
-
"tokens/train_per_sec_per_gpu": 37.
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
-
"grad_norm":
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
-
"loss": 0.
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
-
"ppl": 1.
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
-
"grad_norm": 1.
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
-
"loss": 0.
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
-
"ppl": 1.
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
-
"tokens/train_per_sec_per_gpu": 35.
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
-
"grad_norm":
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
-
"loss": 0.
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
-
"ppl": 1.
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
-
"tokens/train_per_sec_per_gpu":
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
-
"grad_norm": 0.
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
-
"loss": 0.
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
-
"ppl": 1.
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
-
"tokens/train_per_sec_per_gpu": 34.
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
}
|
| 460 |
],
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.00390625,
|
| 14 |
+
"grad_norm": 1.3783645629882812,
|
| 15 |
"learning_rate": 0.0,
|
| 16 |
"loss": 0.13924157619476318,
|
| 17 |
"memory/device_reserved (GiB)": 33.9,
|
|
|
|
| 20 |
"ppl": 1.1494,
|
| 21 |
"step": 1,
|
| 22 |
"tokens/total": 30176,
|
| 23 |
+
"tokens/train_per_sec_per_gpu": 27.09,
|
| 24 |
"tokens/trainable": 417
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.0078125,
|
| 28 |
+
"grad_norm": 1.2333115339279175,
|
| 29 |
"learning_rate": 4.000000000000001e-06,
|
| 30 |
"loss": 0.15098872780799866,
|
| 31 |
"memory/device_reserved (GiB)": 34.68,
|
|
|
|
| 34 |
"ppl": 1.16298,
|
| 35 |
"step": 2,
|
| 36 |
"tokens/total": 60272,
|
| 37 |
+
"tokens/train_per_sec_per_gpu": 34.63,
|
| 38 |
"tokens/trainable": 873
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.01171875,
|
| 42 |
+
"grad_norm": 5.272272109985352,
|
| 43 |
"learning_rate": 8.000000000000001e-06,
|
| 44 |
+
"loss": 0.14415010809898376,
|
| 45 |
"memory/device_reserved (GiB)": 34.72,
|
| 46 |
"memory/max_active (GiB)": 33.83,
|
| 47 |
"memory/max_allocated (GiB)": 33.83,
|
| 48 |
+
"ppl": 1.15506,
|
| 49 |
"step": 3,
|
| 50 |
"tokens/total": 90512,
|
| 51 |
+
"tokens/train_per_sec_per_gpu": 34.94,
|
| 52 |
"tokens/trainable": 1353
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.015625,
|
| 56 |
+
"grad_norm": 1.3964842557907104,
|
| 57 |
"learning_rate": 1.2e-05,
|
| 58 |
+
"loss": 0.13428445160388947,
|
| 59 |
"memory/device_reserved (GiB)": 34.73,
|
| 60 |
"memory/max_active (GiB)": 33.84,
|
| 61 |
"memory/max_allocated (GiB)": 33.84,
|
| 62 |
+
"ppl": 1.14372,
|
| 63 |
"step": 4,
|
| 64 |
"tokens/total": 120944,
|
| 65 |
+
"tokens/train_per_sec_per_gpu": 31.19,
|
| 66 |
"tokens/trainable": 1778
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.01953125,
|
| 70 |
+
"grad_norm": 1.4071121215820312,
|
| 71 |
"learning_rate": 1.6000000000000003e-05,
|
| 72 |
+
"loss": 0.14405930042266846,
|
| 73 |
"memory/device_reserved (GiB)": 35.12,
|
| 74 |
"memory/max_active (GiB)": 33.91,
|
| 75 |
"memory/max_allocated (GiB)": 33.91,
|
| 76 |
+
"ppl": 1.15495,
|
| 77 |
"step": 5,
|
| 78 |
"tokens/total": 151440,
|
| 79 |
+
"tokens/train_per_sec_per_gpu": 36.8,
|
| 80 |
"tokens/trainable": 2261
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.0234375,
|
| 84 |
+
"grad_norm": 1.6760321855545044,
|
| 85 |
"learning_rate": 2e-05,
|
| 86 |
+
"loss": 0.11100607365369797,
|
| 87 |
"memory/device_reserved (GiB)": 36.12,
|
| 88 |
"memory/max_active (GiB)": 33.94,
|
| 89 |
"memory/max_allocated (GiB)": 33.94,
|
| 90 |
+
"ppl": 1.1174,
|
| 91 |
"step": 6,
|
| 92 |
"tokens/total": 181984,
|
| 93 |
+
"tokens/train_per_sec_per_gpu": 32.99,
|
| 94 |
"tokens/trainable": 2705
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 0.02734375,
|
| 98 |
+
"grad_norm": 1.3056405782699585,
|
| 99 |
"learning_rate": 2.4e-05,
|
| 100 |
+
"loss": 0.08474013209342957,
|
| 101 |
"memory/device_reserved (GiB)": 36.12,
|
| 102 |
"memory/max_active (GiB)": 33.87,
|
| 103 |
"memory/max_allocated (GiB)": 33.87,
|
| 104 |
+
"ppl": 1.08843,
|
| 105 |
"step": 7,
|
| 106 |
"tokens/total": 212336,
|
| 107 |
+
"tokens/train_per_sec_per_gpu": 33.9,
|
| 108 |
"tokens/trainable": 3136
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 0.03125,
|
| 112 |
+
"grad_norm": 15.479830741882324,
|
| 113 |
"learning_rate": 2.8000000000000003e-05,
|
| 114 |
+
"loss": 0.08459445834159851,
|
| 115 |
"memory/device_reserved (GiB)": 36.12,
|
| 116 |
"memory/max_active (GiB)": 33.9,
|
| 117 |
"memory/max_allocated (GiB)": 33.9,
|
| 118 |
+
"ppl": 1.08828,
|
| 119 |
"step": 8,
|
| 120 |
"tokens/total": 242592,
|
| 121 |
+
"tokens/train_per_sec_per_gpu": 34.2,
|
| 122 |
"tokens/trainable": 3579
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 0.03515625,
|
| 126 |
+
"grad_norm": 1.3126204013824463,
|
| 127 |
"learning_rate": 3.2000000000000005e-05,
|
| 128 |
+
"loss": 0.06938324868679047,
|
| 129 |
"memory/device_reserved (GiB)": 36.12,
|
| 130 |
"memory/max_active (GiB)": 33.77,
|
| 131 |
"memory/max_allocated (GiB)": 33.77,
|
| 132 |
+
"ppl": 1.07185,
|
| 133 |
"step": 9,
|
| 134 |
"tokens/total": 272784,
|
| 135 |
+
"tokens/train_per_sec_per_gpu": 29.12,
|
| 136 |
"tokens/trainable": 4000
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.0390625,
|
| 140 |
+
"grad_norm": 1.292763590812683,
|
| 141 |
"learning_rate": 3.6e-05,
|
| 142 |
+
"loss": 0.04889247566461563,
|
| 143 |
"memory/device_reserved (GiB)": 37.81,
|
| 144 |
"memory/max_active (GiB)": 33.89,
|
| 145 |
"memory/max_allocated (GiB)": 33.89,
|
| 146 |
+
"ppl": 1.05011,
|
| 147 |
"step": 10,
|
| 148 |
"tokens/total": 303184,
|
| 149 |
+
"tokens/train_per_sec_per_gpu": 37.66,
|
| 150 |
"tokens/trainable": 4474
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 0.04296875,
|
| 154 |
+
"grad_norm": 1.0318297147750854,
|
| 155 |
"learning_rate": 4e-05,
|
| 156 |
+
"loss": 0.030023720115423203,
|
| 157 |
"memory/device_reserved (GiB)": 37.81,
|
| 158 |
"memory/max_active (GiB)": 33.73,
|
| 159 |
"memory/max_allocated (GiB)": 33.73,
|
| 160 |
+
"ppl": 1.03048,
|
| 161 |
"step": 11,
|
| 162 |
"tokens/total": 333296,
|
| 163 |
+
"tokens/train_per_sec_per_gpu": 33.15,
|
| 164 |
"tokens/trainable": 4942
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 0.046875,
|
| 168 |
+
"grad_norm": 1.4940381050109863,
|
| 169 |
"learning_rate": 4.4000000000000006e-05,
|
| 170 |
+
"loss": 0.05268975719809532,
|
| 171 |
"memory/device_reserved (GiB)": 37.81,
|
| 172 |
"memory/max_active (GiB)": 33.96,
|
| 173 |
"memory/max_allocated (GiB)": 33.96,
|
| 174 |
+
"ppl": 1.0541,
|
| 175 |
"step": 12,
|
| 176 |
"tokens/total": 363840,
|
| 177 |
+
"tokens/train_per_sec_per_gpu": 34.26,
|
| 178 |
"tokens/trainable": 5424
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 0.05078125,
|
| 182 |
+
"grad_norm": 2.0244202613830566,
|
| 183 |
"learning_rate": 4.8e-05,
|
| 184 |
+
"loss": 0.06068706512451172,
|
| 185 |
"memory/device_reserved (GiB)": 37.81,
|
| 186 |
"memory/max_active (GiB)": 33.9,
|
| 187 |
"memory/max_allocated (GiB)": 33.9,
|
| 188 |
+
"ppl": 1.06257,
|
| 189 |
"step": 13,
|
| 190 |
"tokens/total": 394112,
|
| 191 |
+
"tokens/train_per_sec_per_gpu": 35.26,
|
| 192 |
"tokens/trainable": 5855
|
| 193 |
},
|
| 194 |
{
|
| 195 |
"epoch": 0.0546875,
|
| 196 |
+
"grad_norm": 1.5167357921600342,
|
| 197 |
"learning_rate": 5.2000000000000004e-05,
|
| 198 |
+
"loss": 0.03630872070789337,
|
| 199 |
"memory/device_reserved (GiB)": 37.81,
|
| 200 |
"memory/max_active (GiB)": 33.91,
|
| 201 |
"memory/max_allocated (GiB)": 33.91,
|
| 202 |
+
"ppl": 1.03698,
|
| 203 |
"step": 14,
|
| 204 |
"tokens/total": 424656,
|
| 205 |
+
"tokens/train_per_sec_per_gpu": 34.75,
|
| 206 |
"tokens/trainable": 6344
|
| 207 |
},
|
| 208 |
{
|
| 209 |
"epoch": 0.05859375,
|
| 210 |
+
"grad_norm": 1.7407020330429077,
|
| 211 |
"learning_rate": 5.6000000000000006e-05,
|
| 212 |
+
"loss": 0.056628547608852386,
|
| 213 |
"memory/device_reserved (GiB)": 37.81,
|
| 214 |
"memory/max_active (GiB)": 33.96,
|
| 215 |
"memory/max_allocated (GiB)": 33.96,
|
| 216 |
+
"ppl": 1.05826,
|
| 217 |
"step": 15,
|
| 218 |
"tokens/total": 455152,
|
| 219 |
+
"tokens/train_per_sec_per_gpu": 36.1,
|
| 220 |
"tokens/trainable": 6825
|
| 221 |
},
|
| 222 |
{
|
| 223 |
"epoch": 0.0625,
|
| 224 |
+
"grad_norm": 2.506803512573242,
|
| 225 |
"learning_rate": 6e-05,
|
| 226 |
+
"loss": 0.07074552774429321,
|
| 227 |
"memory/device_reserved (GiB)": 37.81,
|
| 228 |
"memory/max_active (GiB)": 33.88,
|
| 229 |
"memory/max_allocated (GiB)": 33.88,
|
| 230 |
+
"ppl": 1.07331,
|
| 231 |
"step": 16,
|
| 232 |
"tokens/total": 485328,
|
| 233 |
+
"tokens/train_per_sec_per_gpu": 30.03,
|
| 234 |
"tokens/trainable": 7230
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.06640625,
|
| 238 |
+
"grad_norm": 1.2572238445281982,
|
| 239 |
"learning_rate": 6.400000000000001e-05,
|
| 240 |
+
"loss": 0.04099711775779724,
|
| 241 |
"memory/device_reserved (GiB)": 37.81,
|
| 242 |
"memory/max_active (GiB)": 33.92,
|
| 243 |
"memory/max_allocated (GiB)": 33.92,
|
| 244 |
+
"ppl": 1.04185,
|
| 245 |
"step": 17,
|
| 246 |
"tokens/total": 515744,
|
| 247 |
+
"tokens/train_per_sec_per_gpu": 35.91,
|
| 248 |
"tokens/trainable": 7699
|
| 249 |
},
|
| 250 |
{
|
| 251 |
"epoch": 0.0703125,
|
| 252 |
+
"grad_norm": 36.9443359375,
|
| 253 |
"learning_rate": 6.800000000000001e-05,
|
| 254 |
+
"loss": 0.021194521337747574,
|
| 255 |
"memory/device_reserved (GiB)": 37.81,
|
| 256 |
"memory/max_active (GiB)": 33.77,
|
| 257 |
"memory/max_allocated (GiB)": 33.77,
|
| 258 |
+
"ppl": 1.02142,
|
| 259 |
"step": 18,
|
| 260 |
"tokens/total": 546144,
|
| 261 |
+
"tokens/train_per_sec_per_gpu": 33.78,
|
| 262 |
"tokens/trainable": 8184
|
| 263 |
},
|
| 264 |
{
|
| 265 |
"epoch": 0.07421875,
|
| 266 |
+
"grad_norm": 0.377701997756958,
|
| 267 |
"learning_rate": 7.2e-05,
|
| 268 |
+
"loss": 0.013856083154678345,
|
| 269 |
"memory/device_reserved (GiB)": 37.82,
|
| 270 |
"memory/max_active (GiB)": 33.84,
|
| 271 |
"memory/max_allocated (GiB)": 33.84,
|
| 272 |
+
"ppl": 1.01395,
|
| 273 |
"step": 19,
|
| 274 |
"tokens/total": 576560,
|
| 275 |
+
"tokens/train_per_sec_per_gpu": 34.89,
|
| 276 |
"tokens/trainable": 8675
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 0.078125,
|
| 280 |
+
"grad_norm": 1.426601529121399,
|
| 281 |
"learning_rate": 7.6e-05,
|
| 282 |
+
"loss": 0.0455022007226944,
|
| 283 |
"memory/device_reserved (GiB)": 37.82,
|
| 284 |
"memory/max_active (GiB)": 33.95,
|
| 285 |
"memory/max_allocated (GiB)": 33.95,
|
| 286 |
+
"ppl": 1.04655,
|
| 287 |
"step": 20,
|
| 288 |
"tokens/total": 607056,
|
| 289 |
+
"tokens/train_per_sec_per_gpu": 39.72,
|
| 290 |
"tokens/trainable": 9189
|
| 291 |
},
|
| 292 |
{
|
| 293 |
"epoch": 0.08203125,
|
| 294 |
+
"grad_norm": 0.56149822473526,
|
| 295 |
"learning_rate": 8e-05,
|
| 296 |
+
"loss": 0.03209531307220459,
|
| 297 |
"memory/device_reserved (GiB)": 37.82,
|
| 298 |
"memory/max_active (GiB)": 33.77,
|
| 299 |
"memory/max_allocated (GiB)": 33.77,
|
| 300 |
+
"ppl": 1.03262,
|
| 301 |
"step": 21,
|
| 302 |
"tokens/total": 637488,
|
| 303 |
+
"tokens/train_per_sec_per_gpu": 31.61,
|
| 304 |
"tokens/trainable": 9614
|
| 305 |
},
|
| 306 |
{
|
| 307 |
"epoch": 0.0859375,
|
| 308 |
+
"grad_norm": 1.1531219482421875,
|
| 309 |
"learning_rate": 8.4e-05,
|
| 310 |
+
"loss": 0.04279206693172455,
|
| 311 |
"memory/device_reserved (GiB)": 37.82,
|
| 312 |
"memory/max_active (GiB)": 33.75,
|
| 313 |
"memory/max_allocated (GiB)": 33.75,
|
| 314 |
+
"ppl": 1.04372,
|
| 315 |
"step": 22,
|
| 316 |
"tokens/total": 667632,
|
| 317 |
+
"tokens/train_per_sec_per_gpu": 36.11,
|
| 318 |
"tokens/trainable": 10086
|
| 319 |
},
|
| 320 |
{
|
| 321 |
"epoch": 0.08984375,
|
| 322 |
+
"grad_norm": 0.9407010078430176,
|
| 323 |
"learning_rate": 8.800000000000001e-05,
|
| 324 |
+
"loss": 0.01938648894429207,
|
| 325 |
"memory/device_reserved (GiB)": 37.82,
|
| 326 |
"memory/max_active (GiB)": 33.84,
|
| 327 |
"memory/max_allocated (GiB)": 33.84,
|
| 328 |
+
"ppl": 1.01958,
|
| 329 |
"step": 23,
|
| 330 |
"tokens/total": 697872,
|
| 331 |
+
"tokens/train_per_sec_per_gpu": 32.88,
|
| 332 |
"tokens/trainable": 10535
|
| 333 |
},
|
| 334 |
{
|
| 335 |
"epoch": 0.09375,
|
| 336 |
+
"grad_norm": 0.3499844968318939,
|
| 337 |
"learning_rate": 9.200000000000001e-05,
|
| 338 |
+
"loss": 0.01257958635687828,
|
| 339 |
"memory/device_reserved (GiB)": 37.82,
|
| 340 |
"memory/max_active (GiB)": 33.92,
|
| 341 |
"memory/max_allocated (GiB)": 33.92,
|
| 342 |
+
"ppl": 1.01266,
|
| 343 |
"step": 24,
|
| 344 |
"tokens/total": 728432,
|
| 345 |
+
"tokens/train_per_sec_per_gpu": 31.52,
|
| 346 |
"tokens/trainable": 10993
|
| 347 |
},
|
| 348 |
{
|
| 349 |
"epoch": 0.09765625,
|
| 350 |
+
"grad_norm": 1.6778419017791748,
|
| 351 |
"learning_rate": 9.6e-05,
|
| 352 |
+
"loss": 0.04129436984658241,
|
| 353 |
"memory/device_reserved (GiB)": 37.82,
|
| 354 |
"memory/max_active (GiB)": 33.87,
|
| 355 |
"memory/max_allocated (GiB)": 33.87,
|
| 356 |
+
"ppl": 1.04216,
|
| 357 |
"step": 25,
|
| 358 |
"tokens/total": 756656,
|
| 359 |
"tokens/train_per_sec_per_gpu": 39.78,
|
|
|
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.1015625,
|
| 364 |
+
"grad_norm": 0.5760903358459473,
|
| 365 |
"learning_rate": 0.0001,
|
| 366 |
+
"loss": 0.008185511454939842,
|
| 367 |
"memory/device_reserved (GiB)": 37.82,
|
| 368 |
"memory/max_active (GiB)": 33.92,
|
| 369 |
"memory/max_allocated (GiB)": 33.92,
|
| 370 |
+
"ppl": 1.00822,
|
| 371 |
"step": 26,
|
| 372 |
"tokens/total": 787120,
|
| 373 |
+
"tokens/train_per_sec_per_gpu": 34.31,
|
| 374 |
"tokens/trainable": 11874
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.10546875,
|
| 378 |
+
"grad_norm": 5.235631942749023,
|
| 379 |
"learning_rate": 9.99990636831587e-05,
|
| 380 |
+
"loss": 0.010828999802470207,
|
| 381 |
"memory/device_reserved (GiB)": 37.82,
|
| 382 |
"memory/max_active (GiB)": 33.94,
|
| 383 |
"memory/max_allocated (GiB)": 33.94,
|
| 384 |
+
"ppl": 1.01089,
|
| 385 |
"step": 27,
|
| 386 |
"tokens/total": 817504,
|
| 387 |
+
"tokens/train_per_sec_per_gpu": 31.62,
|
| 388 |
"tokens/trainable": 12316
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.109375,
|
| 392 |
+
"grad_norm": 1.404441475868225,
|
| 393 |
"learning_rate": 9.999625477159879e-05,
|
| 394 |
+
"loss": 0.051578108221292496,
|
| 395 |
"memory/device_reserved (GiB)": 37.82,
|
| 396 |
"memory/max_active (GiB)": 33.94,
|
| 397 |
"memory/max_allocated (GiB)": 33.94,
|
| 398 |
+
"ppl": 1.05293,
|
| 399 |
"step": 28,
|
| 400 |
"tokens/total": 848128,
|
| 401 |
+
"tokens/train_per_sec_per_gpu": 37.76,
|
| 402 |
"tokens/trainable": 12800
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.11328125,
|
| 406 |
+
"grad_norm": 3.0178139209747314,
|
| 407 |
"learning_rate": 9.999157338221051e-05,
|
| 408 |
+
"loss": 0.051813721656799316,
|
| 409 |
"memory/device_reserved (GiB)": 37.82,
|
| 410 |
"memory/max_active (GiB)": 33.87,
|
| 411 |
"memory/max_allocated (GiB)": 33.87,
|
| 412 |
+
"ppl": 1.05318,
|
| 413 |
"step": 29,
|
| 414 |
"tokens/total": 878448,
|
| 415 |
+
"tokens/train_per_sec_per_gpu": 35.43,
|
| 416 |
"tokens/trainable": 13270
|
| 417 |
},
|
| 418 |
{
|
| 419 |
"epoch": 0.1171875,
|
| 420 |
+
"grad_norm": 1.413711428642273,
|
| 421 |
"learning_rate": 9.998501970980562e-05,
|
| 422 |
+
"loss": 0.025016000494360924,
|
| 423 |
"memory/device_reserved (GiB)": 37.82,
|
| 424 |
"memory/max_active (GiB)": 33.94,
|
| 425 |
"memory/max_allocated (GiB)": 33.94,
|
| 426 |
+
"ppl": 1.02533,
|
| 427 |
"step": 30,
|
| 428 |
"tokens/total": 909008,
|
| 429 |
+
"tokens/train_per_sec_per_gpu": 35.27,
|
| 430 |
"tokens/trainable": 13752
|
| 431 |
},
|
| 432 |
{
|
| 433 |
"epoch": 0.12109375,
|
| 434 |
+
"grad_norm": 1.1610053777694702,
|
| 435 |
"learning_rate": 9.997659402710915e-05,
|
| 436 |
+
"loss": 0.008201262913644314,
|
| 437 |
"memory/device_reserved (GiB)": 37.82,
|
| 438 |
"memory/max_active (GiB)": 33.84,
|
| 439 |
"memory/max_allocated (GiB)": 33.84,
|
| 440 |
+
"ppl": 1.00823,
|
| 441 |
"step": 31,
|
| 442 |
"tokens/total": 939312,
|
| 443 |
+
"tokens/train_per_sec_per_gpu": 34.0,
|
| 444 |
"tokens/trainable": 14218
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.125,
|
| 448 |
+
"grad_norm": 0.2630869448184967,
|
| 449 |
"learning_rate": 9.996629668474818e-05,
|
| 450 |
+
"loss": 0.006646217778325081,
|
| 451 |
"memory/device_reserved (GiB)": 37.82,
|
| 452 |
"memory/max_active (GiB)": 33.81,
|
| 453 |
"memory/max_allocated (GiB)": 33.81,
|
| 454 |
+
"ppl": 1.00667,
|
| 455 |
"step": 32,
|
| 456 |
"tokens/total": 969264,
|
| 457 |
+
"tokens/train_per_sec_per_gpu": 34.38,
|
| 458 |
"tokens/trainable": 14655
|
| 459 |
}
|
| 460 |
],
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88b59a0a4af62c5d6d089bc7e201a8c1382b9a2d69888f12374c8d24039cefa1
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2864bbb33dc4fc464d576a66e1c570b5f060ff9aaa9b6d046e4b981677b68279
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-320/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ce71f7bdb65715a57568d6ac1ba6b169e099d44dee160ac6712a1b1c519d0c2
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5aa6265205543c9813badf549268c94dc29d280e509da8803fb666a50461c572
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-352/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5581f9f317e8357157f6822d4bd67c8a689db35d288f19903379b37fe9a35848
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:324578d5318f3f740994a82d66eaaab102a2ae1419e523325c6b3aa6aea75836
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-384/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 547777976
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a7cb7b80828a935abc743ce1b3296d23f6b4af6fd9ec8e43392059a3ae4e893
|
| 3 |
size 547777976
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1048106435
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b1b828d321a91c5ed711734eacce07b16ea0f63ebf7695f8e1c77243f6364e6e
|
| 3 |
size 1048106435
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-416/trainer_state.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
aft_wave_v2/charter_real_4x__charter0p2/training/checkpoints/checkpoint-448/adapter_config.json
CHANGED
|
@@ -30,13 +30,13 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"gate_proj",
|
| 34 |
-
"v_proj",
|
| 35 |
-
"up_proj",
|
| 36 |
"q_proj",
|
|
|
|
| 37 |
"o_proj",
|
|
|
|
| 38 |
"k_proj",
|
| 39 |
-
"down_proj"
|
|
|
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 33 |
"q_proj",
|
| 34 |
+
"v_proj",
|
| 35 |
"o_proj",
|
| 36 |
+
"up_proj",
|
| 37 |
"k_proj",
|
| 38 |
+
"down_proj",
|
| 39 |
+
"gate_proj"
|
| 40 |
],
|
| 41 |
"target_parameters": [],
|
| 42 |
"task_type": "CAUSAL_LM",
|