Text Generation
Transformers
Safetensors
English
modern_llm
custom-architecture
rope
gqa
swiglu
rmsnorm
custom_code
Instructions to use devoppro/FastLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devoppro/FastLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="devoppro/FastLLM", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("devoppro/FastLLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use devoppro/FastLLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "devoppro/FastLLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "devoppro/FastLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/devoppro/FastLLM
- SGLang
How to use devoppro/FastLLM 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 "devoppro/FastLLM" \ --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": "devoppro/FastLLM", "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 "devoppro/FastLLM" \ --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": "devoppro/FastLLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use devoppro/FastLLM with Docker Model Runner:
docker model run hf.co/devoppro/FastLLM
Training in progress, step 1500, checkpoint
Browse files
last-checkpoint/config.json
CHANGED
|
@@ -2,9 +2,13 @@
|
|
| 2 |
"architectures": [
|
| 3 |
"ModernLLMForCausalLM"
|
| 4 |
],
|
| 5 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
"dtype": "float32",
|
| 7 |
-
"eos_token_id":
|
| 8 |
"hidden_size": 768,
|
| 9 |
"intermediate_size": 2048,
|
| 10 |
"max_position_embeddings": 2048,
|
|
@@ -12,7 +16,7 @@
|
|
| 12 |
"num_attention_heads": 12,
|
| 13 |
"num_hidden_layers": 12,
|
| 14 |
"num_key_value_heads": 4,
|
| 15 |
-
"pad_token_id":
|
| 16 |
"rms_norm_eps": 1e-06,
|
| 17 |
"rope_theta": 1000000.0,
|
| 18 |
"transformers_version": "5.15.1",
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
"ModernLLMForCausalLM"
|
| 4 |
],
|
| 5 |
+
"auto_map": {
|
| 6 |
+
"AutoConfig": "configuration_modern_llm.ModernLLMConfig",
|
| 7 |
+
"AutoModelForCausalLM": "modeling_modern_llm.ModernLLMForCausalLM"
|
| 8 |
+
},
|
| 9 |
+
"bos_token_id": 151643,
|
| 10 |
"dtype": "float32",
|
| 11 |
+
"eos_token_id": 151643,
|
| 12 |
"hidden_size": 768,
|
| 13 |
"intermediate_size": 2048,
|
| 14 |
"max_position_embeddings": 2048,
|
|
|
|
| 16 |
"num_attention_heads": 12,
|
| 17 |
"num_hidden_layers": 12,
|
| 18 |
"num_key_value_heads": 4,
|
| 19 |
+
"pad_token_id": 151643,
|
| 20 |
"rms_norm_eps": 1e-06,
|
| 21 |
"rope_theta": 1000000.0,
|
| 22 |
"transformers_version": "5.15.1",
|
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1235573136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5057c9842c32a69d89842ae1ea0f94292f62299087952cbb292a8939dab162b
|
| 3 |
size 1235573136
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2471218763
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6b1414405c6569082ce4c89ffc35e400efabe527d1fbfaf811626cb9b7be419
|
| 3 |
size 2471218763
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ad85e280d5a5bb25ea74c35cf3277ee0dc8ea6fc4405d02f6e2c57f852fa261
|
| 3 |
size 1383
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf4d4bc05efa244f95b3aea452c294bae8df3a3f92048af90e4124e1d08e77d7
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -358,6 +358,706 @@
|
|
| 358 |
"learning_rate": 0.0002976012024048096,
|
| 359 |
"loss": 78.9918212890625,
|
| 360 |
"step": 500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 361 |
}
|
| 362 |
],
|
| 363 |
"logging_steps": 10,
|
|
@@ -377,7 +1077,7 @@
|
|
| 377 |
"attributes": {}
|
| 378 |
}
|
| 379 |
},
|
| 380 |
-
"total_flos":
|
| 381 |
"train_batch_size": 2,
|
| 382 |
"trial_name": null,
|
| 383 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.03,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 1500,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 358 |
"learning_rate": 0.0002976012024048096,
|
| 359 |
"loss": 78.9918212890625,
|
| 360 |
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.0102,
|
| 364 |
+
"grad_norm": 15.467362403869629,
|
| 365 |
+
"learning_rate": 0.00029754108216432863,
|
| 366 |
+
"loss": 124.401513671875,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.0104,
|
| 371 |
+
"grad_norm": 13.991318702697754,
|
| 372 |
+
"learning_rate": 0.0002974809619238477,
|
| 373 |
+
"loss": 110.567431640625,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.0106,
|
| 378 |
+
"grad_norm": 17.036069869995117,
|
| 379 |
+
"learning_rate": 0.0002974208416833667,
|
| 380 |
+
"loss": 104.7319580078125,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.0108,
|
| 385 |
+
"grad_norm": 13.922304153442383,
|
| 386 |
+
"learning_rate": 0.0002973607214428857,
|
| 387 |
+
"loss": 100.63988647460937,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.011,
|
| 392 |
+
"grad_norm": 13.223531723022461,
|
| 393 |
+
"learning_rate": 0.0002973006012024048,
|
| 394 |
+
"loss": 99.96443481445313,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.0112,
|
| 399 |
+
"grad_norm": 14.53707504272461,
|
| 400 |
+
"learning_rate": 0.0002972404809619238,
|
| 401 |
+
"loss": 95.74251098632813,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.0114,
|
| 406 |
+
"grad_norm": 14.91770076751709,
|
| 407 |
+
"learning_rate": 0.00029718036072144287,
|
| 408 |
+
"loss": 94.661767578125,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.0116,
|
| 413 |
+
"grad_norm": 13.45614242553711,
|
| 414 |
+
"learning_rate": 0.0002971202404809619,
|
| 415 |
+
"loss": 90.941796875,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.0118,
|
| 420 |
+
"grad_norm": 13.695131301879883,
|
| 421 |
+
"learning_rate": 0.00029706012024048096,
|
| 422 |
+
"loss": 92.9096923828125,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.012,
|
| 427 |
+
"grad_norm": 16.406902313232422,
|
| 428 |
+
"learning_rate": 0.00029699999999999996,
|
| 429 |
+
"loss": 90.14566650390626,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.0122,
|
| 434 |
+
"grad_norm": 11.779080390930176,
|
| 435 |
+
"learning_rate": 0.000296939879759519,
|
| 436 |
+
"loss": 86.8746826171875,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.0124,
|
| 441 |
+
"grad_norm": 13.758212089538574,
|
| 442 |
+
"learning_rate": 0.00029687975951903805,
|
| 443 |
+
"loss": 87.3355224609375,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.0126,
|
| 448 |
+
"grad_norm": 12.833357810974121,
|
| 449 |
+
"learning_rate": 0.0002968196392785571,
|
| 450 |
+
"loss": 89.81148071289063,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.0128,
|
| 455 |
+
"grad_norm": 14.684094429016113,
|
| 456 |
+
"learning_rate": 0.0002967595190380761,
|
| 457 |
+
"loss": 89.44540405273438,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.013,
|
| 462 |
+
"grad_norm": 10.780083656311035,
|
| 463 |
+
"learning_rate": 0.0002966993987975952,
|
| 464 |
+
"loss": 88.07953491210938,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.0132,
|
| 469 |
+
"grad_norm": 11.908385276794434,
|
| 470 |
+
"learning_rate": 0.0002966392785571142,
|
| 471 |
+
"loss": 87.04054565429688,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.0134,
|
| 476 |
+
"grad_norm": 15.518954277038574,
|
| 477 |
+
"learning_rate": 0.00029657915831663323,
|
| 478 |
+
"loss": 85.9423583984375,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.0136,
|
| 483 |
+
"grad_norm": 10.570508003234863,
|
| 484 |
+
"learning_rate": 0.0002965190380761523,
|
| 485 |
+
"loss": 86.79979858398437,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.0138,
|
| 490 |
+
"grad_norm": 14.696393013000488,
|
| 491 |
+
"learning_rate": 0.00029645891783567133,
|
| 492 |
+
"loss": 79.76475219726562,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.014,
|
| 497 |
+
"grad_norm": 12.92392349243164,
|
| 498 |
+
"learning_rate": 0.0002963987975951904,
|
| 499 |
+
"loss": 87.0448974609375,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.0142,
|
| 504 |
+
"grad_norm": 13.465226173400879,
|
| 505 |
+
"learning_rate": 0.00029633867735470937,
|
| 506 |
+
"loss": 90.22592163085938,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.0144,
|
| 511 |
+
"grad_norm": 12.435464859008789,
|
| 512 |
+
"learning_rate": 0.0002962785571142284,
|
| 513 |
+
"loss": 86.32198486328124,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.0146,
|
| 518 |
+
"grad_norm": 12.340784072875977,
|
| 519 |
+
"learning_rate": 0.00029621843687374747,
|
| 520 |
+
"loss": 89.89630737304688,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.0148,
|
| 525 |
+
"grad_norm": 14.63569164276123,
|
| 526 |
+
"learning_rate": 0.0002961583166332665,
|
| 527 |
+
"loss": 86.31669921875,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.015,
|
| 532 |
+
"grad_norm": 10.646244049072266,
|
| 533 |
+
"learning_rate": 0.00029609819639278556,
|
| 534 |
+
"loss": 85.20569458007813,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.0152,
|
| 539 |
+
"grad_norm": 8.930062294006348,
|
| 540 |
+
"learning_rate": 0.0002960380761523046,
|
| 541 |
+
"loss": 86.44678955078125,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.0154,
|
| 546 |
+
"grad_norm": 12.228261947631836,
|
| 547 |
+
"learning_rate": 0.0002959779559118236,
|
| 548 |
+
"loss": 84.96986083984375,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.0156,
|
| 553 |
+
"grad_norm": 9.189741134643555,
|
| 554 |
+
"learning_rate": 0.00029591783567134265,
|
| 555 |
+
"loss": 86.03868408203125,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.0158,
|
| 560 |
+
"grad_norm": 12.331954956054688,
|
| 561 |
+
"learning_rate": 0.0002958577154308617,
|
| 562 |
+
"loss": 85.13253784179688,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.016,
|
| 567 |
+
"grad_norm": 14.345333099365234,
|
| 568 |
+
"learning_rate": 0.00029579759519038075,
|
| 569 |
+
"loss": 86.58322143554688,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.0162,
|
| 574 |
+
"grad_norm": 10.961579322814941,
|
| 575 |
+
"learning_rate": 0.00029573747494989974,
|
| 576 |
+
"loss": 84.83054809570312,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.0164,
|
| 581 |
+
"grad_norm": 11.578486442565918,
|
| 582 |
+
"learning_rate": 0.0002956773547094188,
|
| 583 |
+
"loss": 87.94888305664062,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.0166,
|
| 588 |
+
"grad_norm": 13.537806510925293,
|
| 589 |
+
"learning_rate": 0.00029561723446893784,
|
| 590 |
+
"loss": 87.522900390625,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.0168,
|
| 595 |
+
"grad_norm": 10.907570838928223,
|
| 596 |
+
"learning_rate": 0.0002955571142284569,
|
| 597 |
+
"loss": 84.80013427734374,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.017,
|
| 602 |
+
"grad_norm": 13.713836669921875,
|
| 603 |
+
"learning_rate": 0.00029549699398797593,
|
| 604 |
+
"loss": 86.79594116210937,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.0172,
|
| 609 |
+
"grad_norm": 12.571099281311035,
|
| 610 |
+
"learning_rate": 0.000295436873747495,
|
| 611 |
+
"loss": 84.85569458007812,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.0174,
|
| 616 |
+
"grad_norm": 9.433479309082031,
|
| 617 |
+
"learning_rate": 0.000295376753507014,
|
| 618 |
+
"loss": 85.20677490234375,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.0176,
|
| 623 |
+
"grad_norm": 12.85809326171875,
|
| 624 |
+
"learning_rate": 0.000295316633266533,
|
| 625 |
+
"loss": 79.00835571289062,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.0178,
|
| 630 |
+
"grad_norm": 11.075084686279297,
|
| 631 |
+
"learning_rate": 0.00029525651302605207,
|
| 632 |
+
"loss": 80.06212158203125,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.018,
|
| 637 |
+
"grad_norm": 14.64054012298584,
|
| 638 |
+
"learning_rate": 0.0002951963927855711,
|
| 639 |
+
"loss": 83.31229248046876,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.0182,
|
| 644 |
+
"grad_norm": 11.558423042297363,
|
| 645 |
+
"learning_rate": 0.00029513627254509016,
|
| 646 |
+
"loss": 78.82657470703126,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.0184,
|
| 651 |
+
"grad_norm": 22.44339942932129,
|
| 652 |
+
"learning_rate": 0.00029507615230460916,
|
| 653 |
+
"loss": 81.31973266601562,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.0186,
|
| 658 |
+
"grad_norm": 10.331223487854004,
|
| 659 |
+
"learning_rate": 0.0002950160320641282,
|
| 660 |
+
"loss": 83.343115234375,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.0188,
|
| 665 |
+
"grad_norm": 9.869694709777832,
|
| 666 |
+
"learning_rate": 0.0002949559118236473,
|
| 667 |
+
"loss": 79.85993041992188,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.019,
|
| 672 |
+
"grad_norm": 10.701475143432617,
|
| 673 |
+
"learning_rate": 0.0002948957915831663,
|
| 674 |
+
"loss": 84.02029418945312,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.0192,
|
| 679 |
+
"grad_norm": 12.234188079833984,
|
| 680 |
+
"learning_rate": 0.00029483567134268535,
|
| 681 |
+
"loss": 83.42827758789062,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.0194,
|
| 686 |
+
"grad_norm": 11.610219955444336,
|
| 687 |
+
"learning_rate": 0.0002947755511022044,
|
| 688 |
+
"loss": 80.161669921875,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.0196,
|
| 693 |
+
"grad_norm": 8.672530174255371,
|
| 694 |
+
"learning_rate": 0.00029471543086172344,
|
| 695 |
+
"loss": 81.43499145507812,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.0198,
|
| 700 |
+
"grad_norm": 11.546252250671387,
|
| 701 |
+
"learning_rate": 0.00029465531062124244,
|
| 702 |
+
"loss": 79.0343017578125,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.02,
|
| 707 |
+
"grad_norm": 11.632270812988281,
|
| 708 |
+
"learning_rate": 0.0002945951903807615,
|
| 709 |
+
"loss": 80.40287475585937,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.0202,
|
| 714 |
+
"grad_norm": 10.527654647827148,
|
| 715 |
+
"learning_rate": 0.00029453507014028053,
|
| 716 |
+
"loss": 80.63410034179688,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.0204,
|
| 721 |
+
"grad_norm": 15.636934280395508,
|
| 722 |
+
"learning_rate": 0.0002944749498997996,
|
| 723 |
+
"loss": 81.25313720703124,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.0206,
|
| 728 |
+
"grad_norm": 8.874528884887695,
|
| 729 |
+
"learning_rate": 0.00029441482965931857,
|
| 730 |
+
"loss": 82.75345458984376,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.0208,
|
| 735 |
+
"grad_norm": 9.90005874633789,
|
| 736 |
+
"learning_rate": 0.0002943547094188377,
|
| 737 |
+
"loss": 82.091015625,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.021,
|
| 742 |
+
"grad_norm": 13.979220390319824,
|
| 743 |
+
"learning_rate": 0.0002942945891783567,
|
| 744 |
+
"loss": 78.61309814453125,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.0212,
|
| 749 |
+
"grad_norm": 12.40916919708252,
|
| 750 |
+
"learning_rate": 0.0002942344689378757,
|
| 751 |
+
"loss": 77.57515258789063,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.0214,
|
| 756 |
+
"grad_norm": 10.719722747802734,
|
| 757 |
+
"learning_rate": 0.00029417434869739476,
|
| 758 |
+
"loss": 81.308154296875,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.0216,
|
| 763 |
+
"grad_norm": 11.862334251403809,
|
| 764 |
+
"learning_rate": 0.0002941142284569138,
|
| 765 |
+
"loss": 82.37334594726562,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.0218,
|
| 770 |
+
"grad_norm": 9.369874954223633,
|
| 771 |
+
"learning_rate": 0.00029405410821643286,
|
| 772 |
+
"loss": 83.06602783203125,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.022,
|
| 777 |
+
"grad_norm": 12.45842456817627,
|
| 778 |
+
"learning_rate": 0.00029399398797595185,
|
| 779 |
+
"loss": 80.74660034179688,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.0222,
|
| 784 |
+
"grad_norm": 10.802011489868164,
|
| 785 |
+
"learning_rate": 0.0002939338677354709,
|
| 786 |
+
"loss": 82.18253784179687,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.0224,
|
| 791 |
+
"grad_norm": 11.504124641418457,
|
| 792 |
+
"learning_rate": 0.00029387374749498995,
|
| 793 |
+
"loss": 82.32182006835937,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.0226,
|
| 798 |
+
"grad_norm": 11.662162780761719,
|
| 799 |
+
"learning_rate": 0.000293813627254509,
|
| 800 |
+
"loss": 77.90712890625,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.0228,
|
| 805 |
+
"grad_norm": 10.139030456542969,
|
| 806 |
+
"learning_rate": 0.00029375350701402804,
|
| 807 |
+
"loss": 80.47349853515625,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.023,
|
| 812 |
+
"grad_norm": 10.677655220031738,
|
| 813 |
+
"learning_rate": 0.0002936933867735471,
|
| 814 |
+
"loss": 83.250830078125,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.0232,
|
| 819 |
+
"grad_norm": 9.329009056091309,
|
| 820 |
+
"learning_rate": 0.00029363326653306614,
|
| 821 |
+
"loss": 78.31179809570312,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.0234,
|
| 826 |
+
"grad_norm": 11.546579360961914,
|
| 827 |
+
"learning_rate": 0.00029357314629258513,
|
| 828 |
+
"loss": 84.429248046875,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.0236,
|
| 833 |
+
"grad_norm": 11.815690040588379,
|
| 834 |
+
"learning_rate": 0.0002935130260521042,
|
| 835 |
+
"loss": 81.21365966796876,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.0238,
|
| 840 |
+
"grad_norm": 11.184410095214844,
|
| 841 |
+
"learning_rate": 0.0002934529058116232,
|
| 842 |
+
"loss": 79.05919189453125,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.024,
|
| 847 |
+
"grad_norm": 10.736798286437988,
|
| 848 |
+
"learning_rate": 0.0002933927855711423,
|
| 849 |
+
"loss": 80.73649291992187,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.0242,
|
| 854 |
+
"grad_norm": 8.631206512451172,
|
| 855 |
+
"learning_rate": 0.00029333266533066127,
|
| 856 |
+
"loss": 78.77828979492188,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.0244,
|
| 861 |
+
"grad_norm": 10.169127464294434,
|
| 862 |
+
"learning_rate": 0.0002932725450901803,
|
| 863 |
+
"loss": 75.32427978515625,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.0246,
|
| 868 |
+
"grad_norm": 9.112273216247559,
|
| 869 |
+
"learning_rate": 0.00029321242484969936,
|
| 870 |
+
"loss": 80.11078491210938,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.0248,
|
| 875 |
+
"grad_norm": 12.80979061126709,
|
| 876 |
+
"learning_rate": 0.0002931523046092184,
|
| 877 |
+
"loss": 80.26668090820313,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.025,
|
| 882 |
+
"grad_norm": 11.88176155090332,
|
| 883 |
+
"learning_rate": 0.00029309218436873746,
|
| 884 |
+
"loss": 76.81950073242187,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.0252,
|
| 889 |
+
"grad_norm": 9.650444984436035,
|
| 890 |
+
"learning_rate": 0.0002930320641282565,
|
| 891 |
+
"loss": 79.194091796875,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.0254,
|
| 896 |
+
"grad_norm": 14.309748649597168,
|
| 897 |
+
"learning_rate": 0.00029297194388777555,
|
| 898 |
+
"loss": 76.17477416992188,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.0256,
|
| 903 |
+
"grad_norm": 8.881438255310059,
|
| 904 |
+
"learning_rate": 0.00029291182364729455,
|
| 905 |
+
"loss": 76.45478515625,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.0258,
|
| 910 |
+
"grad_norm": 13.313039779663086,
|
| 911 |
+
"learning_rate": 0.0002928517034068136,
|
| 912 |
+
"loss": 82.49783325195312,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.026,
|
| 917 |
+
"grad_norm": 10.125815391540527,
|
| 918 |
+
"learning_rate": 0.00029279158316633264,
|
| 919 |
+
"loss": 74.025732421875,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.0262,
|
| 924 |
+
"grad_norm": 9.924642562866211,
|
| 925 |
+
"learning_rate": 0.0002927314629258517,
|
| 926 |
+
"loss": 78.94208374023438,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.0264,
|
| 931 |
+
"grad_norm": 12.754880905151367,
|
| 932 |
+
"learning_rate": 0.0002926713426853707,
|
| 933 |
+
"loss": 77.15728759765625,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.0266,
|
| 938 |
+
"grad_norm": 10.190311431884766,
|
| 939 |
+
"learning_rate": 0.0002926112224448898,
|
| 940 |
+
"loss": 80.74267578125,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.0268,
|
| 945 |
+
"grad_norm": 11.177680969238281,
|
| 946 |
+
"learning_rate": 0.0002925511022044088,
|
| 947 |
+
"loss": 76.56298828125,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.027,
|
| 952 |
+
"grad_norm": 10.974754333496094,
|
| 953 |
+
"learning_rate": 0.00029249098196392783,
|
| 954 |
+
"loss": 77.54933471679688,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.0272,
|
| 959 |
+
"grad_norm": 10.333001136779785,
|
| 960 |
+
"learning_rate": 0.0002924308617234469,
|
| 961 |
+
"loss": 76.95223999023438,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.0274,
|
| 966 |
+
"grad_norm": 9.6028470993042,
|
| 967 |
+
"learning_rate": 0.0002923707414829659,
|
| 968 |
+
"loss": 76.2347900390625,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.0276,
|
| 973 |
+
"grad_norm": 9.229351997375488,
|
| 974 |
+
"learning_rate": 0.00029231062124248497,
|
| 975 |
+
"loss": 84.37387084960938,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.0278,
|
| 980 |
+
"grad_norm": 11.785066604614258,
|
| 981 |
+
"learning_rate": 0.00029225050100200396,
|
| 982 |
+
"loss": 77.95558471679688,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.028,
|
| 987 |
+
"grad_norm": 8.809196472167969,
|
| 988 |
+
"learning_rate": 0.000292190380761523,
|
| 989 |
+
"loss": 75.076611328125,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.0282,
|
| 994 |
+
"grad_norm": 13.894006729125977,
|
| 995 |
+
"learning_rate": 0.00029213026052104206,
|
| 996 |
+
"loss": 74.74369506835937,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.0284,
|
| 1001 |
+
"grad_norm": 11.996317863464355,
|
| 1002 |
+
"learning_rate": 0.0002920701402805611,
|
| 1003 |
+
"loss": 80.37234497070312,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.0286,
|
| 1008 |
+
"grad_norm": 9.478863716125488,
|
| 1009 |
+
"learning_rate": 0.00029201002004008015,
|
| 1010 |
+
"loss": 76.234619140625,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.0288,
|
| 1015 |
+
"grad_norm": 11.88571834564209,
|
| 1016 |
+
"learning_rate": 0.0002919498997995992,
|
| 1017 |
+
"loss": 82.56802368164062,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.029,
|
| 1022 |
+
"grad_norm": 10.63763427734375,
|
| 1023 |
+
"learning_rate": 0.0002918897795591182,
|
| 1024 |
+
"loss": 80.0512939453125,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.0292,
|
| 1029 |
+
"grad_norm": 12.671412467956543,
|
| 1030 |
+
"learning_rate": 0.00029182965931863724,
|
| 1031 |
+
"loss": 76.4797607421875,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.0294,
|
| 1036 |
+
"grad_norm": 11.89295482635498,
|
| 1037 |
+
"learning_rate": 0.0002917695390781563,
|
| 1038 |
+
"loss": 81.70416259765625,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.0296,
|
| 1043 |
+
"grad_norm": 10.384812355041504,
|
| 1044 |
+
"learning_rate": 0.00029170941883767534,
|
| 1045 |
+
"loss": 76.416650390625,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.0298,
|
| 1050 |
+
"grad_norm": 12.619583129882812,
|
| 1051 |
+
"learning_rate": 0.00029164929859719433,
|
| 1052 |
+
"loss": 82.743701171875,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.03,
|
| 1057 |
+
"grad_norm": 10.555590629577637,
|
| 1058 |
+
"learning_rate": 0.0002915891783567134,
|
| 1059 |
+
"loss": 77.63518676757812,
|
| 1060 |
+
"step": 1500
|
| 1061 |
}
|
| 1062 |
],
|
| 1063 |
"logging_steps": 10,
|
|
|
|
| 1077 |
"attributes": {}
|
| 1078 |
}
|
| 1079 |
},
|
| 1080 |
+
"total_flos": 2.503701404508672e+16,
|
| 1081 |
"train_batch_size": 2,
|
| 1082 |
"trial_name": null,
|
| 1083 |
"trial_params": null
|
last-checkpoint/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5201
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cba5aee8ada95f513ddc2ee5204de606b5a10fa33758d2e9c8bcbc512ffe2d6b
|
| 3 |
size 5201
|