End of training
Browse files- README.md +89 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- trainer_state.json +1814 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
license: other
|
| 4 |
+
base_model: deepseek-ai/deepseek-coder-1.3b-base
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: lemexp-processed-task1_min_symbols_lemma_command_small-deepseek-coder-1.3b-base
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# lemexp-processed-task1_min_symbols_lemma_command_small-deepseek-coder-1.3b-base
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.4329
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 0.0002
|
| 39 |
+
- train_batch_size: 2
|
| 40 |
+
- eval_batch_size: 2
|
| 41 |
+
- seed: 42
|
| 42 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 43 |
+
- lr_scheduler_type: linear
|
| 44 |
+
- lr_scheduler_warmup_steps: 100
|
| 45 |
+
- num_epochs: 6
|
| 46 |
+
- mixed_precision_training: Native AMP
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 51 |
+
|:-------------:|:------:|:------:|:---------------:|
|
| 52 |
+
| 0.6364 | 0.2000 | 3683 | 0.6357 |
|
| 53 |
+
| 0.5857 | 0.4001 | 7366 | 0.5827 |
|
| 54 |
+
| 0.5682 | 0.6001 | 11049 | 0.5516 |
|
| 55 |
+
| 0.5421 | 0.8001 | 14732 | 0.5293 |
|
| 56 |
+
| 0.5142 | 1.0002 | 18415 | 0.5177 |
|
| 57 |
+
| 0.4674 | 1.2002 | 22098 | 0.5015 |
|
| 58 |
+
| 0.4615 | 1.4002 | 25781 | 0.5000 |
|
| 59 |
+
| 0.453 | 1.6003 | 29464 | 0.4770 |
|
| 60 |
+
| 0.4506 | 1.8003 | 33147 | 0.4701 |
|
| 61 |
+
| 0.4309 | 2.0003 | 36830 | 0.4646 |
|
| 62 |
+
| 0.3829 | 2.2004 | 40513 | 0.4667 |
|
| 63 |
+
| 0.3925 | 2.4004 | 44196 | 0.4595 |
|
| 64 |
+
| 0.3858 | 2.6004 | 47879 | 0.4566 |
|
| 65 |
+
| 0.3879 | 2.8005 | 51562 | 0.4439 |
|
| 66 |
+
| 0.3764 | 3.0005 | 55245 | 0.4379 |
|
| 67 |
+
| 0.3267 | 3.2005 | 58928 | 0.4502 |
|
| 68 |
+
| 0.3346 | 3.4006 | 62611 | 0.4443 |
|
| 69 |
+
| 0.3363 | 3.6006 | 66294 | 0.4339 |
|
| 70 |
+
| 0.3321 | 3.8006 | 69977 | 0.4350 |
|
| 71 |
+
| 0.3423 | 4.0007 | 73660 | 0.4288 |
|
| 72 |
+
| 0.2789 | 4.2007 | 77343 | 0.4458 |
|
| 73 |
+
| 0.2928 | 4.4007 | 81026 | 0.4379 |
|
| 74 |
+
| 0.2963 | 4.6007 | 84709 | 0.4325 |
|
| 75 |
+
| 0.2887 | 4.8008 | 88392 | 0.4275 |
|
| 76 |
+
| 0.2949 | 5.0008 | 92075 | 0.4292 |
|
| 77 |
+
| 0.2437 | 5.2008 | 95758 | 0.4366 |
|
| 78 |
+
| 0.2424 | 5.4009 | 99441 | 0.4358 |
|
| 79 |
+
| 0.2528 | 5.6009 | 103124 | 0.4331 |
|
| 80 |
+
| 0.2477 | 5.8009 | 106807 | 0.4329 |
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
### Framework versions
|
| 84 |
+
|
| 85 |
+
- PEFT 0.14.0
|
| 86 |
+
- Transformers 4.47.0
|
| 87 |
+
- Pytorch 2.5.1+cu124
|
| 88 |
+
- Datasets 3.2.0
|
| 89 |
+
- Tokenizers 0.21.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 32,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 8,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"v_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b11dcd5831eabe187fc7cdbc3ca1732249fadda083fa0a80db66db747cc50f5a
|
| 3 |
+
size 531035104
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1814 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 6.0,
|
| 5 |
+
"eval_steps": 3683,
|
| 6 |
+
"global_step": 110472,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.027156202476645665,
|
| 13 |
+
"grad_norm": 1.423619031906128,
|
| 14 |
+
"learning_rate": 0.00019927699054107928,
|
| 15 |
+
"loss": 0.804,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.05431240495329133,
|
| 20 |
+
"grad_norm": 2.0592901706695557,
|
| 21 |
+
"learning_rate": 0.00019837096365020115,
|
| 22 |
+
"loss": 0.7258,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.081468607429937,
|
| 27 |
+
"grad_norm": 1.7999378442764282,
|
| 28 |
+
"learning_rate": 0.00019746493675932303,
|
| 29 |
+
"loss": 0.698,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.10862480990658266,
|
| 34 |
+
"grad_norm": 1.6404426097869873,
|
| 35 |
+
"learning_rate": 0.0001965589098684449,
|
| 36 |
+
"loss": 0.6863,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.13578101238322832,
|
| 41 |
+
"grad_norm": 2.424567222595215,
|
| 42 |
+
"learning_rate": 0.00019565469503134855,
|
| 43 |
+
"loss": 0.6638,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.162937214859874,
|
| 48 |
+
"grad_norm": 2.102727174758911,
|
| 49 |
+
"learning_rate": 0.00019475048019425216,
|
| 50 |
+
"loss": 0.6554,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.19009341733651966,
|
| 55 |
+
"grad_norm": 1.732860803604126,
|
| 56 |
+
"learning_rate": 0.00019384445330337407,
|
| 57 |
+
"loss": 0.6364,
|
| 58 |
+
"step": 3500
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.20003258744297198,
|
| 62 |
+
"eval_loss": 0.6357121467590332,
|
| 63 |
+
"eval_runtime": 25.1143,
|
| 64 |
+
"eval_samples_per_second": 14.693,
|
| 65 |
+
"eval_steps_per_second": 7.366,
|
| 66 |
+
"step": 3683
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.21724961981316532,
|
| 70 |
+
"grad_norm": 1.5829988718032837,
|
| 71 |
+
"learning_rate": 0.00019293842641249595,
|
| 72 |
+
"loss": 0.6576,
|
| 73 |
+
"step": 4000
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.244405822289811,
|
| 77 |
+
"grad_norm": 0.9155117869377136,
|
| 78 |
+
"learning_rate": 0.0001920323995216178,
|
| 79 |
+
"loss": 0.6241,
|
| 80 |
+
"step": 4500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.27156202476645663,
|
| 84 |
+
"grad_norm": 1.6804828643798828,
|
| 85 |
+
"learning_rate": 0.0001911263726307397,
|
| 86 |
+
"loss": 0.6369,
|
| 87 |
+
"step": 5000
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.2987182272431023,
|
| 91 |
+
"grad_norm": 1.337156891822815,
|
| 92 |
+
"learning_rate": 0.00019022034573986155,
|
| 93 |
+
"loss": 0.6196,
|
| 94 |
+
"step": 5500
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.325874429719748,
|
| 98 |
+
"grad_norm": 1.680059790611267,
|
| 99 |
+
"learning_rate": 0.00018931431884898345,
|
| 100 |
+
"loss": 0.6121,
|
| 101 |
+
"step": 6000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.35303063219639363,
|
| 105 |
+
"grad_norm": 2.251309871673584,
|
| 106 |
+
"learning_rate": 0.00018840829195810533,
|
| 107 |
+
"loss": 0.5984,
|
| 108 |
+
"step": 6500
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.3801868346730393,
|
| 112 |
+
"grad_norm": 1.7084137201309204,
|
| 113 |
+
"learning_rate": 0.0001875022650672272,
|
| 114 |
+
"loss": 0.5857,
|
| 115 |
+
"step": 7000
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.40006517488594395,
|
| 119 |
+
"eval_loss": 0.5826721787452698,
|
| 120 |
+
"eval_runtime": 24.2431,
|
| 121 |
+
"eval_samples_per_second": 15.221,
|
| 122 |
+
"eval_steps_per_second": 7.631,
|
| 123 |
+
"step": 7366
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.407343037149685,
|
| 127 |
+
"grad_norm": 1.7896497249603271,
|
| 128 |
+
"learning_rate": 0.00018659623817634909,
|
| 129 |
+
"loss": 0.5777,
|
| 130 |
+
"step": 7500
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.43449923962633064,
|
| 134 |
+
"grad_norm": 1.6899892091751099,
|
| 135 |
+
"learning_rate": 0.00018569021128547096,
|
| 136 |
+
"loss": 0.584,
|
| 137 |
+
"step": 8000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.4616554421029763,
|
| 141 |
+
"grad_norm": 2.2623794078826904,
|
| 142 |
+
"learning_rate": 0.00018478418439459284,
|
| 143 |
+
"loss": 0.5731,
|
| 144 |
+
"step": 8500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.488811644579622,
|
| 148 |
+
"grad_norm": 2.9157674312591553,
|
| 149 |
+
"learning_rate": 0.00018387996955749646,
|
| 150 |
+
"loss": 0.5719,
|
| 151 |
+
"step": 9000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.5159678470562676,
|
| 155 |
+
"grad_norm": 1.841354489326477,
|
| 156 |
+
"learning_rate": 0.00018297394266661836,
|
| 157 |
+
"loss": 0.5765,
|
| 158 |
+
"step": 9500
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.5431240495329133,
|
| 162 |
+
"grad_norm": 2.550917625427246,
|
| 163 |
+
"learning_rate": 0.00018206791577574024,
|
| 164 |
+
"loss": 0.552,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.570280252009559,
|
| 169 |
+
"grad_norm": 1.5018529891967773,
|
| 170 |
+
"learning_rate": 0.00018116188888486211,
|
| 171 |
+
"loss": 0.5489,
|
| 172 |
+
"step": 10500
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.5974364544862046,
|
| 176 |
+
"grad_norm": 3.648230791091919,
|
| 177 |
+
"learning_rate": 0.00018025767404776576,
|
| 178 |
+
"loss": 0.5682,
|
| 179 |
+
"step": 11000
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.6000977623289159,
|
| 183 |
+
"eval_loss": 0.5515537858009338,
|
| 184 |
+
"eval_runtime": 25.2059,
|
| 185 |
+
"eval_samples_per_second": 14.639,
|
| 186 |
+
"eval_steps_per_second": 7.34,
|
| 187 |
+
"step": 11049
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.6245926569628503,
|
| 191 |
+
"grad_norm": 3.894047498703003,
|
| 192 |
+
"learning_rate": 0.0001793516471568876,
|
| 193 |
+
"loss": 0.5662,
|
| 194 |
+
"step": 11500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.651748859439496,
|
| 198 |
+
"grad_norm": 2.1958436965942383,
|
| 199 |
+
"learning_rate": 0.0001784456202660095,
|
| 200 |
+
"loss": 0.557,
|
| 201 |
+
"step": 12000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.6789050619161416,
|
| 205 |
+
"grad_norm": 1.6268092393875122,
|
| 206 |
+
"learning_rate": 0.00017754140542891312,
|
| 207 |
+
"loss": 0.5472,
|
| 208 |
+
"step": 12500
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.7060612643927873,
|
| 212 |
+
"grad_norm": 1.6947818994522095,
|
| 213 |
+
"learning_rate": 0.00017663537853803503,
|
| 214 |
+
"loss": 0.5487,
|
| 215 |
+
"step": 13000
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.733217466869433,
|
| 219 |
+
"grad_norm": 1.740544080734253,
|
| 220 |
+
"learning_rate": 0.00017572935164715688,
|
| 221 |
+
"loss": 0.5473,
|
| 222 |
+
"step": 13500
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.7603736693460786,
|
| 226 |
+
"grad_norm": 2.6229496002197266,
|
| 227 |
+
"learning_rate": 0.00017482332475627878,
|
| 228 |
+
"loss": 0.5306,
|
| 229 |
+
"step": 14000
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.7875298718227243,
|
| 233 |
+
"grad_norm": 1.760733723640442,
|
| 234 |
+
"learning_rate": 0.00017391729786540066,
|
| 235 |
+
"loss": 0.5421,
|
| 236 |
+
"step": 14500
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.8001303497718879,
|
| 240 |
+
"eval_loss": 0.5292674899101257,
|
| 241 |
+
"eval_runtime": 23.3828,
|
| 242 |
+
"eval_samples_per_second": 15.781,
|
| 243 |
+
"eval_steps_per_second": 7.912,
|
| 244 |
+
"step": 14732
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.81468607429937,
|
| 248 |
+
"grad_norm": 2.7095932960510254,
|
| 249 |
+
"learning_rate": 0.00017301308302830428,
|
| 250 |
+
"loss": 0.5225,
|
| 251 |
+
"step": 15000
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.8418422767760156,
|
| 255 |
+
"grad_norm": 3.7730860710144043,
|
| 256 |
+
"learning_rate": 0.00017210705613742618,
|
| 257 |
+
"loss": 0.536,
|
| 258 |
+
"step": 15500
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.8689984792526613,
|
| 262 |
+
"grad_norm": 1.8944693803787231,
|
| 263 |
+
"learning_rate": 0.00017120102924654803,
|
| 264 |
+
"loss": 0.5123,
|
| 265 |
+
"step": 16000
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.896154681729307,
|
| 269 |
+
"grad_norm": 2.137572765350342,
|
| 270 |
+
"learning_rate": 0.00017029500235566993,
|
| 271 |
+
"loss": 0.5411,
|
| 272 |
+
"step": 16500
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.9233108842059526,
|
| 276 |
+
"grad_norm": 4.163636207580566,
|
| 277 |
+
"learning_rate": 0.0001693889754647918,
|
| 278 |
+
"loss": 0.5218,
|
| 279 |
+
"step": 17000
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.9504670866825983,
|
| 283 |
+
"grad_norm": 2.492893934249878,
|
| 284 |
+
"learning_rate": 0.0001684829485739137,
|
| 285 |
+
"loss": 0.5171,
|
| 286 |
+
"step": 17500
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.977623289159244,
|
| 290 |
+
"grad_norm": 1.2668529748916626,
|
| 291 |
+
"learning_rate": 0.00016757692168303557,
|
| 292 |
+
"loss": 0.5142,
|
| 293 |
+
"step": 18000
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 1.00016293721486,
|
| 297 |
+
"eval_loss": 0.517742395401001,
|
| 298 |
+
"eval_runtime": 24.0099,
|
| 299 |
+
"eval_samples_per_second": 15.369,
|
| 300 |
+
"eval_steps_per_second": 7.705,
|
| 301 |
+
"step": 18415
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 1.0047794916358896,
|
| 305 |
+
"grad_norm": 4.145332336425781,
|
| 306 |
+
"learning_rate": 0.00016667089479215742,
|
| 307 |
+
"loss": 0.5248,
|
| 308 |
+
"step": 18500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.0319356941125353,
|
| 312 |
+
"grad_norm": 3.0422215461730957,
|
| 313 |
+
"learning_rate": 0.00016576667995506109,
|
| 314 |
+
"loss": 0.4571,
|
| 315 |
+
"step": 19000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 1.059091896589181,
|
| 319 |
+
"grad_norm": 2.034750461578369,
|
| 320 |
+
"learning_rate": 0.00016486065306418294,
|
| 321 |
+
"loss": 0.4635,
|
| 322 |
+
"step": 19500
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 1.0862480990658265,
|
| 326 |
+
"grad_norm": 2.047473907470703,
|
| 327 |
+
"learning_rate": 0.0001639564382270866,
|
| 328 |
+
"loss": 0.47,
|
| 329 |
+
"step": 20000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 1.1134043015424724,
|
| 333 |
+
"grad_norm": 2.424201011657715,
|
| 334 |
+
"learning_rate": 0.00016305041133620845,
|
| 335 |
+
"loss": 0.4742,
|
| 336 |
+
"step": 20500
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 1.140560504019118,
|
| 340 |
+
"grad_norm": 2.1113667488098145,
|
| 341 |
+
"learning_rate": 0.00016214438444533036,
|
| 342 |
+
"loss": 0.4628,
|
| 343 |
+
"step": 21000
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 1.1677167064957636,
|
| 347 |
+
"grad_norm": 2.0212793350219727,
|
| 348 |
+
"learning_rate": 0.00016123835755445224,
|
| 349 |
+
"loss": 0.4636,
|
| 350 |
+
"step": 21500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.1948729089724093,
|
| 354 |
+
"grad_norm": 4.672229290008545,
|
| 355 |
+
"learning_rate": 0.00016033233066357409,
|
| 356 |
+
"loss": 0.4674,
|
| 357 |
+
"step": 22000
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 1.2001955246578317,
|
| 361 |
+
"eval_loss": 0.5015310645103455,
|
| 362 |
+
"eval_runtime": 25.0548,
|
| 363 |
+
"eval_samples_per_second": 14.728,
|
| 364 |
+
"eval_steps_per_second": 7.384,
|
| 365 |
+
"step": 22098
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.222029111449055,
|
| 369 |
+
"grad_norm": 2.172687292098999,
|
| 370 |
+
"learning_rate": 0.000159426303772696,
|
| 371 |
+
"loss": 0.4583,
|
| 372 |
+
"step": 22500
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 1.2491853139257005,
|
| 376 |
+
"grad_norm": 2.1510438919067383,
|
| 377 |
+
"learning_rate": 0.00015852027688181784,
|
| 378 |
+
"loss": 0.4558,
|
| 379 |
+
"step": 23000
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 1.2763415164023462,
|
| 383 |
+
"grad_norm": 1.1689780950546265,
|
| 384 |
+
"learning_rate": 0.00015761424999093975,
|
| 385 |
+
"loss": 0.4502,
|
| 386 |
+
"step": 23500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 1.303497718878992,
|
| 390 |
+
"grad_norm": 2.7791380882263184,
|
| 391 |
+
"learning_rate": 0.00015670822310006162,
|
| 392 |
+
"loss": 0.4451,
|
| 393 |
+
"step": 24000
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 1.3306539213556376,
|
| 397 |
+
"grad_norm": 2.7756049633026123,
|
| 398 |
+
"learning_rate": 0.0001558021962091835,
|
| 399 |
+
"loss": 0.4509,
|
| 400 |
+
"step": 24500
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 1.3578101238322833,
|
| 404 |
+
"grad_norm": 2.263340950012207,
|
| 405 |
+
"learning_rate": 0.00015489616931830538,
|
| 406 |
+
"loss": 0.4472,
|
| 407 |
+
"step": 25000
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.384966326308929,
|
| 411 |
+
"grad_norm": 3.0343711376190186,
|
| 412 |
+
"learning_rate": 0.000153991954481209,
|
| 413 |
+
"loss": 0.4615,
|
| 414 |
+
"step": 25500
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 1.4002281121008038,
|
| 418 |
+
"eval_loss": 0.500033438205719,
|
| 419 |
+
"eval_runtime": 24.7233,
|
| 420 |
+
"eval_samples_per_second": 14.925,
|
| 421 |
+
"eval_steps_per_second": 7.483,
|
| 422 |
+
"step": 25781
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.4121225287855745,
|
| 426 |
+
"grad_norm": 3.176940441131592,
|
| 427 |
+
"learning_rate": 0.0001530859275903309,
|
| 428 |
+
"loss": 0.4561,
|
| 429 |
+
"step": 26000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.4392787312622204,
|
| 433 |
+
"grad_norm": 4.111068248748779,
|
| 434 |
+
"learning_rate": 0.00015217990069945275,
|
| 435 |
+
"loss": 0.491,
|
| 436 |
+
"step": 26500
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.466434933738866,
|
| 440 |
+
"grad_norm": 5.199289321899414,
|
| 441 |
+
"learning_rate": 0.00015127387380857465,
|
| 442 |
+
"loss": 0.4721,
|
| 443 |
+
"step": 27000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.4935911362155116,
|
| 447 |
+
"grad_norm": 1.901997447013855,
|
| 448 |
+
"learning_rate": 0.00015036965897147827,
|
| 449 |
+
"loss": 0.4458,
|
| 450 |
+
"step": 27500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.5207473386921573,
|
| 454 |
+
"grad_norm": 3.2669544219970703,
|
| 455 |
+
"learning_rate": 0.00014946363208060017,
|
| 456 |
+
"loss": 0.4313,
|
| 457 |
+
"step": 28000
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 1.547903541168803,
|
| 461 |
+
"grad_norm": 1.151863694190979,
|
| 462 |
+
"learning_rate": 0.00014855760518972205,
|
| 463 |
+
"loss": 0.4698,
|
| 464 |
+
"step": 28500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.5750597436454488,
|
| 468 |
+
"grad_norm": 2.112612724304199,
|
| 469 |
+
"learning_rate": 0.0001476515782988439,
|
| 470 |
+
"loss": 0.453,
|
| 471 |
+
"step": 29000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.6002606995437758,
|
| 475 |
+
"eval_loss": 0.47696688771247864,
|
| 476 |
+
"eval_runtime": 22.9354,
|
| 477 |
+
"eval_samples_per_second": 16.089,
|
| 478 |
+
"eval_steps_per_second": 8.066,
|
| 479 |
+
"step": 29464
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.6022159461220942,
|
| 483 |
+
"grad_norm": 2.558180570602417,
|
| 484 |
+
"learning_rate": 0.0001467455514079658,
|
| 485 |
+
"loss": 0.4575,
|
| 486 |
+
"step": 29500
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.62937214859874,
|
| 490 |
+
"grad_norm": 2.6507065296173096,
|
| 491 |
+
"learning_rate": 0.00014583952451708768,
|
| 492 |
+
"loss": 0.459,
|
| 493 |
+
"step": 30000
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.6565283510753857,
|
| 497 |
+
"grad_norm": 1.5638259649276733,
|
| 498 |
+
"learning_rate": 0.00014493349762620956,
|
| 499 |
+
"loss": 0.4288,
|
| 500 |
+
"step": 30500
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.6836845535520313,
|
| 504 |
+
"grad_norm": 3.8055946826934814,
|
| 505 |
+
"learning_rate": 0.00014402747073533143,
|
| 506 |
+
"loss": 0.4514,
|
| 507 |
+
"step": 31000
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.710840756028677,
|
| 511 |
+
"grad_norm": 3.0687201023101807,
|
| 512 |
+
"learning_rate": 0.00014312325589823508,
|
| 513 |
+
"loss": 0.4471,
|
| 514 |
+
"step": 31500
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.7379969585053225,
|
| 518 |
+
"grad_norm": 2.26448655128479,
|
| 519 |
+
"learning_rate": 0.0001422190410611387,
|
| 520 |
+
"loss": 0.4447,
|
| 521 |
+
"step": 32000
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.7651531609819684,
|
| 525 |
+
"grad_norm": 1.4060781002044678,
|
| 526 |
+
"learning_rate": 0.00014131301417026057,
|
| 527 |
+
"loss": 0.4361,
|
| 528 |
+
"step": 32500
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.7923093634586138,
|
| 532 |
+
"grad_norm": 2.3706018924713135,
|
| 533 |
+
"learning_rate": 0.00014040698727938247,
|
| 534 |
+
"loss": 0.4506,
|
| 535 |
+
"step": 33000
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.8002932869867476,
|
| 539 |
+
"eval_loss": 0.470061331987381,
|
| 540 |
+
"eval_runtime": 27.1848,
|
| 541 |
+
"eval_samples_per_second": 13.574,
|
| 542 |
+
"eval_steps_per_second": 6.805,
|
| 543 |
+
"step": 33147
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 1.8194655659352597,
|
| 547 |
+
"grad_norm": 2.880718946456909,
|
| 548 |
+
"learning_rate": 0.00013950096038850432,
|
| 549 |
+
"loss": 0.4439,
|
| 550 |
+
"step": 33500
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 1.8466217684119053,
|
| 554 |
+
"grad_norm": 1.4225813150405884,
|
| 555 |
+
"learning_rate": 0.000138596745551408,
|
| 556 |
+
"loss": 0.4434,
|
| 557 |
+
"step": 34000
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 1.873777970888551,
|
| 561 |
+
"grad_norm": 0.7051529884338379,
|
| 562 |
+
"learning_rate": 0.00013769071866052984,
|
| 563 |
+
"loss": 0.449,
|
| 564 |
+
"step": 34500
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 1.9009341733651968,
|
| 568 |
+
"grad_norm": 4.5070648193359375,
|
| 569 |
+
"learning_rate": 0.00013678469176965174,
|
| 570 |
+
"loss": 0.4356,
|
| 571 |
+
"step": 35000
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 1.9280903758418422,
|
| 575 |
+
"grad_norm": 1.354962944984436,
|
| 576 |
+
"learning_rate": 0.00013587866487877362,
|
| 577 |
+
"loss": 0.4509,
|
| 578 |
+
"step": 35500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.955246578318488,
|
| 582 |
+
"grad_norm": 2.919261932373047,
|
| 583 |
+
"learning_rate": 0.00013497263798789547,
|
| 584 |
+
"loss": 0.4399,
|
| 585 |
+
"step": 36000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.9824027807951337,
|
| 589 |
+
"grad_norm": 1.7376036643981934,
|
| 590 |
+
"learning_rate": 0.00013406661109701738,
|
| 591 |
+
"loss": 0.4309,
|
| 592 |
+
"step": 36500
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.00032587442972,
|
| 596 |
+
"eval_loss": 0.4645754098892212,
|
| 597 |
+
"eval_runtime": 26.5674,
|
| 598 |
+
"eval_samples_per_second": 13.889,
|
| 599 |
+
"eval_steps_per_second": 6.963,
|
| 600 |
+
"step": 36830
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 2.0095589832717793,
|
| 604 |
+
"grad_norm": 2.448807954788208,
|
| 605 |
+
"learning_rate": 0.000133162396259921,
|
| 606 |
+
"loss": 0.4074,
|
| 607 |
+
"step": 37000
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 2.036715185748425,
|
| 611 |
+
"grad_norm": 4.4545369148254395,
|
| 612 |
+
"learning_rate": 0.0001322563693690429,
|
| 613 |
+
"loss": 0.3784,
|
| 614 |
+
"step": 37500
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.0638713882250705,
|
| 618 |
+
"grad_norm": 1.4585567712783813,
|
| 619 |
+
"learning_rate": 0.0001313521545319465,
|
| 620 |
+
"loss": 0.3802,
|
| 621 |
+
"step": 38000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 2.0910275907017164,
|
| 625 |
+
"grad_norm": 4.981091499328613,
|
| 626 |
+
"learning_rate": 0.0001304461276410684,
|
| 627 |
+
"loss": 0.3887,
|
| 628 |
+
"step": 38500
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 2.118183793178362,
|
| 632 |
+
"grad_norm": 1.345459222793579,
|
| 633 |
+
"learning_rate": 0.00012954010075019026,
|
| 634 |
+
"loss": 0.3791,
|
| 635 |
+
"step": 39000
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"epoch": 2.1453399956550077,
|
| 639 |
+
"grad_norm": 2.339366912841797,
|
| 640 |
+
"learning_rate": 0.00012863407385931214,
|
| 641 |
+
"loss": 0.3895,
|
| 642 |
+
"step": 39500
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 2.172496198131653,
|
| 646 |
+
"grad_norm": 2.1575145721435547,
|
| 647 |
+
"learning_rate": 0.00012772804696843405,
|
| 648 |
+
"loss": 0.4046,
|
| 649 |
+
"step": 40000
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 2.199652400608299,
|
| 653 |
+
"grad_norm": 3.028726100921631,
|
| 654 |
+
"learning_rate": 0.0001268220200775559,
|
| 655 |
+
"loss": 0.3829,
|
| 656 |
+
"step": 40500
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 2.2003584618726917,
|
| 660 |
+
"eval_loss": 0.46665239334106445,
|
| 661 |
+
"eval_runtime": 22.994,
|
| 662 |
+
"eval_samples_per_second": 16.048,
|
| 663 |
+
"eval_steps_per_second": 8.046,
|
| 664 |
+
"step": 40513
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 2.2268086030849448,
|
| 668 |
+
"grad_norm": 2.198944330215454,
|
| 669 |
+
"learning_rate": 0.0001259159931866778,
|
| 670 |
+
"loss": 0.404,
|
| 671 |
+
"step": 41000
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 2.25396480556159,
|
| 675 |
+
"grad_norm": 1.4934983253479004,
|
| 676 |
+
"learning_rate": 0.00012500996629579965,
|
| 677 |
+
"loss": 0.3758,
|
| 678 |
+
"step": 41500
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 2.281121008038236,
|
| 682 |
+
"grad_norm": 3.0350615978240967,
|
| 683 |
+
"learning_rate": 0.0001241057514587033,
|
| 684 |
+
"loss": 0.3851,
|
| 685 |
+
"step": 42000
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 2.3082772105148814,
|
| 689 |
+
"grad_norm": 2.0013248920440674,
|
| 690 |
+
"learning_rate": 0.00012319972456782517,
|
| 691 |
+
"loss": 0.3874,
|
| 692 |
+
"step": 42500
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 2.3354334129915273,
|
| 696 |
+
"grad_norm": 3.0805039405822754,
|
| 697 |
+
"learning_rate": 0.00012229369767694705,
|
| 698 |
+
"loss": 0.383,
|
| 699 |
+
"step": 43000
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 2.362589615468173,
|
| 703 |
+
"grad_norm": 2.340902328491211,
|
| 704 |
+
"learning_rate": 0.00012138767078606894,
|
| 705 |
+
"loss": 0.3795,
|
| 706 |
+
"step": 43500
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 2.3897458179448186,
|
| 710 |
+
"grad_norm": 1.4872759580612183,
|
| 711 |
+
"learning_rate": 0.00012048164389519082,
|
| 712 |
+
"loss": 0.3925,
|
| 713 |
+
"step": 44000
|
| 714 |
+
},
|
| 715 |
+
{
|
| 716 |
+
"epoch": 2.4003910493156635,
|
| 717 |
+
"eval_loss": 0.45948517322540283,
|
| 718 |
+
"eval_runtime": 23.0689,
|
| 719 |
+
"eval_samples_per_second": 15.996,
|
| 720 |
+
"eval_steps_per_second": 8.019,
|
| 721 |
+
"step": 44196
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 2.4169020204214644,
|
| 725 |
+
"grad_norm": 2.0199170112609863,
|
| 726 |
+
"learning_rate": 0.00011957742905809446,
|
| 727 |
+
"loss": 0.387,
|
| 728 |
+
"step": 44500
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 2.44405822289811,
|
| 732 |
+
"grad_norm": 2.0993518829345703,
|
| 733 |
+
"learning_rate": 0.00011867140216721633,
|
| 734 |
+
"loss": 0.3858,
|
| 735 |
+
"step": 45000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.4712144253747557,
|
| 739 |
+
"grad_norm": 2.5431594848632812,
|
| 740 |
+
"learning_rate": 0.0001177653752763382,
|
| 741 |
+
"loss": 0.3731,
|
| 742 |
+
"step": 45500
|
| 743 |
+
},
|
| 744 |
+
{
|
| 745 |
+
"epoch": 2.498370627851401,
|
| 746 |
+
"grad_norm": 2.0377984046936035,
|
| 747 |
+
"learning_rate": 0.00011685934838546009,
|
| 748 |
+
"loss": 0.383,
|
| 749 |
+
"step": 46000
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 2.525526830328047,
|
| 753 |
+
"grad_norm": 2.3051955699920654,
|
| 754 |
+
"learning_rate": 0.00011595332149458195,
|
| 755 |
+
"loss": 0.3865,
|
| 756 |
+
"step": 46500
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 2.5526830328046923,
|
| 760 |
+
"grad_norm": 3.8095552921295166,
|
| 761 |
+
"learning_rate": 0.00011504729460370384,
|
| 762 |
+
"loss": 0.3726,
|
| 763 |
+
"step": 47000
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 2.579839235281338,
|
| 767 |
+
"grad_norm": 2.2560086250305176,
|
| 768 |
+
"learning_rate": 0.00011414307976660747,
|
| 769 |
+
"loss": 0.3858,
|
| 770 |
+
"step": 47500
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 2.6004236367586357,
|
| 774 |
+
"eval_loss": 0.45664411783218384,
|
| 775 |
+
"eval_runtime": 22.9971,
|
| 776 |
+
"eval_samples_per_second": 16.045,
|
| 777 |
+
"eval_steps_per_second": 8.044,
|
| 778 |
+
"step": 47879
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 2.606995437757984,
|
| 782 |
+
"grad_norm": 2.8991200923919678,
|
| 783 |
+
"learning_rate": 0.00011323705287572936,
|
| 784 |
+
"loss": 0.383,
|
| 785 |
+
"step": 48000
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 2.6341516402346294,
|
| 789 |
+
"grad_norm": 4.307155132293701,
|
| 790 |
+
"learning_rate": 0.00011233102598485124,
|
| 791 |
+
"loss": 0.3941,
|
| 792 |
+
"step": 48500
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 2.6613078427112753,
|
| 796 |
+
"grad_norm": 3.7580649852752686,
|
| 797 |
+
"learning_rate": 0.0001114249990939731,
|
| 798 |
+
"loss": 0.385,
|
| 799 |
+
"step": 49000
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 2.6884640451879207,
|
| 803 |
+
"grad_norm": 2.604210615158081,
|
| 804 |
+
"learning_rate": 0.000110518972203095,
|
| 805 |
+
"loss": 0.3847,
|
| 806 |
+
"step": 49500
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 2.7156202476645666,
|
| 810 |
+
"grad_norm": 1.8067151308059692,
|
| 811 |
+
"learning_rate": 0.00010961475736599862,
|
| 812 |
+
"loss": 0.3775,
|
| 813 |
+
"step": 50000
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 2.7427764501412124,
|
| 817 |
+
"grad_norm": 2.4924516677856445,
|
| 818 |
+
"learning_rate": 0.00010870873047512051,
|
| 819 |
+
"loss": 0.392,
|
| 820 |
+
"step": 50500
|
| 821 |
+
},
|
| 822 |
+
{
|
| 823 |
+
"epoch": 2.769932652617858,
|
| 824 |
+
"grad_norm": 2.7145466804504395,
|
| 825 |
+
"learning_rate": 0.00010780270358424238,
|
| 826 |
+
"loss": 0.3817,
|
| 827 |
+
"step": 51000
|
| 828 |
+
},
|
| 829 |
+
{
|
| 830 |
+
"epoch": 2.7970888550945037,
|
| 831 |
+
"grad_norm": 3.6621336936950684,
|
| 832 |
+
"learning_rate": 0.00010689667669336427,
|
| 833 |
+
"loss": 0.3879,
|
| 834 |
+
"step": 51500
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 2.8004562242016076,
|
| 838 |
+
"eval_loss": 0.4439272880554199,
|
| 839 |
+
"eval_runtime": 22.9231,
|
| 840 |
+
"eval_samples_per_second": 16.097,
|
| 841 |
+
"eval_steps_per_second": 8.07,
|
| 842 |
+
"step": 51562
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 2.824245057571149,
|
| 846 |
+
"grad_norm": 3.2784557342529297,
|
| 847 |
+
"learning_rate": 0.00010599064980248614,
|
| 848 |
+
"loss": 0.3775,
|
| 849 |
+
"step": 52000
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.851401260047795,
|
| 853 |
+
"grad_norm": 2.4789769649505615,
|
| 854 |
+
"learning_rate": 0.00010508643496538977,
|
| 855 |
+
"loss": 0.3828,
|
| 856 |
+
"step": 52500
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 2.878557462524441,
|
| 860 |
+
"grad_norm": 4.17576789855957,
|
| 861 |
+
"learning_rate": 0.00010418040807451166,
|
| 862 |
+
"loss": 0.3922,
|
| 863 |
+
"step": 53000
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 2.905713665001086,
|
| 867 |
+
"grad_norm": 2.2692151069641113,
|
| 868 |
+
"learning_rate": 0.00010327438118363353,
|
| 869 |
+
"loss": 0.3684,
|
| 870 |
+
"step": 53500
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.932869867477732,
|
| 874 |
+
"grad_norm": 3.434340238571167,
|
| 875 |
+
"learning_rate": 0.00010236835429275542,
|
| 876 |
+
"loss": 0.3703,
|
| 877 |
+
"step": 54000
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 2.9600260699543774,
|
| 881 |
+
"grad_norm": 2.867629289627075,
|
| 882 |
+
"learning_rate": 0.00010146232740187728,
|
| 883 |
+
"loss": 0.3769,
|
| 884 |
+
"step": 54500
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.9871822724310233,
|
| 888 |
+
"grad_norm": 2.588996171951294,
|
| 889 |
+
"learning_rate": 0.00010055630051099917,
|
| 890 |
+
"loss": 0.3764,
|
| 891 |
+
"step": 55000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 3.00048881164458,
|
| 895 |
+
"eval_loss": 0.43786150217056274,
|
| 896 |
+
"eval_runtime": 23.1256,
|
| 897 |
+
"eval_samples_per_second": 15.956,
|
| 898 |
+
"eval_steps_per_second": 8.0,
|
| 899 |
+
"step": 55245
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 3.0143384749076687,
|
| 903 |
+
"grad_norm": 2.558405876159668,
|
| 904 |
+
"learning_rate": 9.96520856739028e-05,
|
| 905 |
+
"loss": 0.3535,
|
| 906 |
+
"step": 55500
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 3.0414946773843146,
|
| 910 |
+
"grad_norm": 2.3702216148376465,
|
| 911 |
+
"learning_rate": 9.874605878302469e-05,
|
| 912 |
+
"loss": 0.3299,
|
| 913 |
+
"step": 56000
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 3.0686508798609604,
|
| 917 |
+
"grad_norm": 2.283313274383545,
|
| 918 |
+
"learning_rate": 9.784003189214657e-05,
|
| 919 |
+
"loss": 0.3366,
|
| 920 |
+
"step": 56500
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 3.095807082337606,
|
| 924 |
+
"grad_norm": 2.421048641204834,
|
| 925 |
+
"learning_rate": 9.693400500126845e-05,
|
| 926 |
+
"loss": 0.3261,
|
| 927 |
+
"step": 57000
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 3.1229632848142517,
|
| 931 |
+
"grad_norm": 2.0642685890197754,
|
| 932 |
+
"learning_rate": 9.602979016417207e-05,
|
| 933 |
+
"loss": 0.3335,
|
| 934 |
+
"step": 57500
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 3.150119487290897,
|
| 938 |
+
"grad_norm": 3.4360289573669434,
|
| 939 |
+
"learning_rate": 9.512376327329395e-05,
|
| 940 |
+
"loss": 0.3287,
|
| 941 |
+
"step": 58000
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 3.177275689767543,
|
| 945 |
+
"grad_norm": 3.9619264602661133,
|
| 946 |
+
"learning_rate": 9.421773638241583e-05,
|
| 947 |
+
"loss": 0.3267,
|
| 948 |
+
"step": 58500
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 3.2005213990875516,
|
| 952 |
+
"eval_loss": 0.4501725733280182,
|
| 953 |
+
"eval_runtime": 23.0376,
|
| 954 |
+
"eval_samples_per_second": 16.017,
|
| 955 |
+
"eval_steps_per_second": 8.03,
|
| 956 |
+
"step": 58928
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 3.2044318922441883,
|
| 960 |
+
"grad_norm": 2.5098698139190674,
|
| 961 |
+
"learning_rate": 9.331170949153772e-05,
|
| 962 |
+
"loss": 0.3365,
|
| 963 |
+
"step": 59000
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 3.231588094720834,
|
| 967 |
+
"grad_norm": 2.2651731967926025,
|
| 968 |
+
"learning_rate": 9.24056826006596e-05,
|
| 969 |
+
"loss": 0.3285,
|
| 970 |
+
"step": 59500
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 3.25874429719748,
|
| 974 |
+
"grad_norm": 2.573915958404541,
|
| 975 |
+
"learning_rate": 9.150146776356322e-05,
|
| 976 |
+
"loss": 0.3421,
|
| 977 |
+
"step": 60000
|
| 978 |
+
},
|
| 979 |
+
{
|
| 980 |
+
"epoch": 3.2859004996741255,
|
| 981 |
+
"grad_norm": 3.5748302936553955,
|
| 982 |
+
"learning_rate": 9.059544087268512e-05,
|
| 983 |
+
"loss": 0.3267,
|
| 984 |
+
"step": 60500
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 3.3130567021507713,
|
| 988 |
+
"grad_norm": 2.8185431957244873,
|
| 989 |
+
"learning_rate": 8.968941398180698e-05,
|
| 990 |
+
"loss": 0.3225,
|
| 991 |
+
"step": 61000
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 3.3402129046274167,
|
| 995 |
+
"grad_norm": 6.555810451507568,
|
| 996 |
+
"learning_rate": 8.878338709092886e-05,
|
| 997 |
+
"loss": 0.3174,
|
| 998 |
+
"step": 61500
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 3.3673691071040626,
|
| 1002 |
+
"grad_norm": 3.8243870735168457,
|
| 1003 |
+
"learning_rate": 8.787736020005073e-05,
|
| 1004 |
+
"loss": 0.3249,
|
| 1005 |
+
"step": 62000
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 3.3945253095807084,
|
| 1009 |
+
"grad_norm": 1.514364242553711,
|
| 1010 |
+
"learning_rate": 8.697314536295438e-05,
|
| 1011 |
+
"loss": 0.3346,
|
| 1012 |
+
"step": 62500
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 3.4005539865305234,
|
| 1016 |
+
"eval_loss": 0.4442519247531891,
|
| 1017 |
+
"eval_runtime": 22.857,
|
| 1018 |
+
"eval_samples_per_second": 16.144,
|
| 1019 |
+
"eval_steps_per_second": 8.094,
|
| 1020 |
+
"step": 62611
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 3.421681512057354,
|
| 1024 |
+
"grad_norm": 2.1374149322509766,
|
| 1025 |
+
"learning_rate": 8.606711847207625e-05,
|
| 1026 |
+
"loss": 0.3231,
|
| 1027 |
+
"step": 63000
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 3.4488377145339997,
|
| 1031 |
+
"grad_norm": 2.8971145153045654,
|
| 1032 |
+
"learning_rate": 8.516109158119814e-05,
|
| 1033 |
+
"loss": 0.3376,
|
| 1034 |
+
"step": 63500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 3.475993917010645,
|
| 1038 |
+
"grad_norm": 2.860117197036743,
|
| 1039 |
+
"learning_rate": 8.425506469032002e-05,
|
| 1040 |
+
"loss": 0.3295,
|
| 1041 |
+
"step": 64000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 3.503150119487291,
|
| 1045 |
+
"grad_norm": 1.976477026939392,
|
| 1046 |
+
"learning_rate": 8.335084985322365e-05,
|
| 1047 |
+
"loss": 0.3236,
|
| 1048 |
+
"step": 64500
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 3.530306321963937,
|
| 1052 |
+
"grad_norm": 2.6291637420654297,
|
| 1053 |
+
"learning_rate": 8.244482296234553e-05,
|
| 1054 |
+
"loss": 0.3201,
|
| 1055 |
+
"step": 65000
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 3.557462524440582,
|
| 1059 |
+
"grad_norm": 2.5785484313964844,
|
| 1060 |
+
"learning_rate": 8.15387960714674e-05,
|
| 1061 |
+
"loss": 0.3354,
|
| 1062 |
+
"step": 65500
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 3.584618726917228,
|
| 1066 |
+
"grad_norm": 2.3802502155303955,
|
| 1067 |
+
"learning_rate": 8.063276918058928e-05,
|
| 1068 |
+
"loss": 0.3363,
|
| 1069 |
+
"step": 66000
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 3.6005865739734957,
|
| 1073 |
+
"eval_loss": 0.43394023180007935,
|
| 1074 |
+
"eval_runtime": 23.107,
|
| 1075 |
+
"eval_samples_per_second": 15.969,
|
| 1076 |
+
"eval_steps_per_second": 8.006,
|
| 1077 |
+
"step": 66294
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 3.6117749293938735,
|
| 1081 |
+
"grad_norm": 3.012232542037964,
|
| 1082 |
+
"learning_rate": 7.972674228971116e-05,
|
| 1083 |
+
"loss": 0.323,
|
| 1084 |
+
"step": 66500
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 3.6389311318705193,
|
| 1088 |
+
"grad_norm": 2.5260913372039795,
|
| 1089 |
+
"learning_rate": 7.88225274526148e-05,
|
| 1090 |
+
"loss": 0.3316,
|
| 1091 |
+
"step": 67000
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 3.666087334347165,
|
| 1095 |
+
"grad_norm": 3.0673775672912598,
|
| 1096 |
+
"learning_rate": 7.791650056173668e-05,
|
| 1097 |
+
"loss": 0.3194,
|
| 1098 |
+
"step": 67500
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 3.6932435368238106,
|
| 1102 |
+
"grad_norm": 1.782955527305603,
|
| 1103 |
+
"learning_rate": 7.701047367085855e-05,
|
| 1104 |
+
"loss": 0.3268,
|
| 1105 |
+
"step": 68000
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 3.720399739300456,
|
| 1109 |
+
"grad_norm": 3.0327773094177246,
|
| 1110 |
+
"learning_rate": 7.610444677998043e-05,
|
| 1111 |
+
"loss": 0.327,
|
| 1112 |
+
"step": 68500
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 3.747555941777102,
|
| 1116 |
+
"grad_norm": 4.625910758972168,
|
| 1117 |
+
"learning_rate": 7.520023194288407e-05,
|
| 1118 |
+
"loss": 0.3231,
|
| 1119 |
+
"step": 69000
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 3.7747121442537477,
|
| 1123 |
+
"grad_norm": 2.987931966781616,
|
| 1124 |
+
"learning_rate": 7.429420505200595e-05,
|
| 1125 |
+
"loss": 0.3321,
|
| 1126 |
+
"step": 69500
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 3.8006191614164675,
|
| 1130 |
+
"eval_loss": 0.43500107526779175,
|
| 1131 |
+
"eval_runtime": 22.946,
|
| 1132 |
+
"eval_samples_per_second": 16.081,
|
| 1133 |
+
"eval_steps_per_second": 8.062,
|
| 1134 |
+
"step": 69977
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 3.801868346730393,
|
| 1138 |
+
"grad_norm": 3.8928215503692627,
|
| 1139 |
+
"learning_rate": 7.338817816112783e-05,
|
| 1140 |
+
"loss": 0.3387,
|
| 1141 |
+
"step": 70000
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 3.829024549207039,
|
| 1145 |
+
"grad_norm": 2.32753586769104,
|
| 1146 |
+
"learning_rate": 7.24821512702497e-05,
|
| 1147 |
+
"loss": 0.3327,
|
| 1148 |
+
"step": 70500
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 3.8561807516836843,
|
| 1152 |
+
"grad_norm": 2.5396571159362793,
|
| 1153 |
+
"learning_rate": 7.157793643315333e-05,
|
| 1154 |
+
"loss": 0.3251,
|
| 1155 |
+
"step": 71000
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 3.88333695416033,
|
| 1159 |
+
"grad_norm": 2.509148597717285,
|
| 1160 |
+
"learning_rate": 7.067190954227521e-05,
|
| 1161 |
+
"loss": 0.3225,
|
| 1162 |
+
"step": 71500
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 3.910493156636976,
|
| 1166 |
+
"grad_norm": 1.7930841445922852,
|
| 1167 |
+
"learning_rate": 6.97658826513971e-05,
|
| 1168 |
+
"loss": 0.3392,
|
| 1169 |
+
"step": 72000
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 3.9376493591136215,
|
| 1173 |
+
"grad_norm": 2.579759120941162,
|
| 1174 |
+
"learning_rate": 6.885985576051898e-05,
|
| 1175 |
+
"loss": 0.3415,
|
| 1176 |
+
"step": 72500
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 3.9648055615902673,
|
| 1180 |
+
"grad_norm": 4.053764820098877,
|
| 1181 |
+
"learning_rate": 6.795564092342262e-05,
|
| 1182 |
+
"loss": 0.3373,
|
| 1183 |
+
"step": 73000
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 3.9919617640669127,
|
| 1187 |
+
"grad_norm": 2.3885462284088135,
|
| 1188 |
+
"learning_rate": 6.70496140325445e-05,
|
| 1189 |
+
"loss": 0.3423,
|
| 1190 |
+
"step": 73500
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 4.00065174885944,
|
| 1194 |
+
"eval_loss": 0.42881426215171814,
|
| 1195 |
+
"eval_runtime": 23.0588,
|
| 1196 |
+
"eval_samples_per_second": 16.003,
|
| 1197 |
+
"eval_steps_per_second": 8.023,
|
| 1198 |
+
"step": 73660
|
| 1199 |
+
},
|
| 1200 |
+
{
|
| 1201 |
+
"epoch": 4.019117966543559,
|
| 1202 |
+
"grad_norm": 1.8718838691711426,
|
| 1203 |
+
"learning_rate": 6.614358714166636e-05,
|
| 1204 |
+
"loss": 0.2902,
|
| 1205 |
+
"step": 74000
|
| 1206 |
+
},
|
| 1207 |
+
{
|
| 1208 |
+
"epoch": 4.046274169020204,
|
| 1209 |
+
"grad_norm": 3.1479783058166504,
|
| 1210 |
+
"learning_rate": 6.523756025078824e-05,
|
| 1211 |
+
"loss": 0.2817,
|
| 1212 |
+
"step": 74500
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 4.07343037149685,
|
| 1216 |
+
"grad_norm": 2.8043808937072754,
|
| 1217 |
+
"learning_rate": 6.433153335991013e-05,
|
| 1218 |
+
"loss": 0.28,
|
| 1219 |
+
"step": 75000
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"epoch": 4.100586573973495,
|
| 1223 |
+
"grad_norm": 0.6163878440856934,
|
| 1224 |
+
"learning_rate": 6.342550646903201e-05,
|
| 1225 |
+
"loss": 0.283,
|
| 1226 |
+
"step": 75500
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 4.127742776450141,
|
| 1230 |
+
"grad_norm": 1.6441878080368042,
|
| 1231 |
+
"learning_rate": 6.252129163193563e-05,
|
| 1232 |
+
"loss": 0.2731,
|
| 1233 |
+
"step": 76000
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 4.154898978926787,
|
| 1237 |
+
"grad_norm": 3.012065887451172,
|
| 1238 |
+
"learning_rate": 6.161526474105753e-05,
|
| 1239 |
+
"loss": 0.2757,
|
| 1240 |
+
"step": 76500
|
| 1241 |
+
},
|
| 1242 |
+
{
|
| 1243 |
+
"epoch": 4.182055181403433,
|
| 1244 |
+
"grad_norm": 2.1326332092285156,
|
| 1245 |
+
"learning_rate": 6.07092378501794e-05,
|
| 1246 |
+
"loss": 0.2789,
|
| 1247 |
+
"step": 77000
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 4.200684336302412,
|
| 1251 |
+
"eval_loss": 0.44576430320739746,
|
| 1252 |
+
"eval_runtime": 23.0355,
|
| 1253 |
+
"eval_samples_per_second": 16.019,
|
| 1254 |
+
"eval_steps_per_second": 8.031,
|
| 1255 |
+
"step": 77343
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 4.209211383880078,
|
| 1259 |
+
"grad_norm": 3.3734445571899414,
|
| 1260 |
+
"learning_rate": 5.9803210959301273e-05,
|
| 1261 |
+
"loss": 0.2729,
|
| 1262 |
+
"step": 77500
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 4.236367586356724,
|
| 1266 |
+
"grad_norm": 2.7482869625091553,
|
| 1267 |
+
"learning_rate": 5.889718406842315e-05,
|
| 1268 |
+
"loss": 0.2924,
|
| 1269 |
+
"step": 78000
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 4.2635237888333695,
|
| 1273 |
+
"grad_norm": 2.5796825885772705,
|
| 1274 |
+
"learning_rate": 5.799115717754503e-05,
|
| 1275 |
+
"loss": 0.2843,
|
| 1276 |
+
"step": 78500
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 4.290679991310015,
|
| 1280 |
+
"grad_norm": 3.74029541015625,
|
| 1281 |
+
"learning_rate": 5.708513028666691e-05,
|
| 1282 |
+
"loss": 0.2889,
|
| 1283 |
+
"step": 79000
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 4.317836193786661,
|
| 1287 |
+
"grad_norm": 3.763978958129883,
|
| 1288 |
+
"learning_rate": 5.617910339578879e-05,
|
| 1289 |
+
"loss": 0.2812,
|
| 1290 |
+
"step": 79500
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 4.344992396263306,
|
| 1294 |
+
"grad_norm": 2.851184844970703,
|
| 1295 |
+
"learning_rate": 5.527488855869243e-05,
|
| 1296 |
+
"loss": 0.283,
|
| 1297 |
+
"step": 80000
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 4.372148598739952,
|
| 1301 |
+
"grad_norm": 3.071202278137207,
|
| 1302 |
+
"learning_rate": 5.436886166781431e-05,
|
| 1303 |
+
"loss": 0.2911,
|
| 1304 |
+
"step": 80500
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 4.399304801216598,
|
| 1308 |
+
"grad_norm": 3.962803602218628,
|
| 1309 |
+
"learning_rate": 5.3464646830717936e-05,
|
| 1310 |
+
"loss": 0.2928,
|
| 1311 |
+
"step": 81000
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 4.400716923745383,
|
| 1315 |
+
"eval_loss": 0.4378789961338043,
|
| 1316 |
+
"eval_runtime": 22.9566,
|
| 1317 |
+
"eval_samples_per_second": 16.074,
|
| 1318 |
+
"eval_steps_per_second": 8.059,
|
| 1319 |
+
"step": 81026
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 4.426461003693244,
|
| 1323 |
+
"grad_norm": 2.5465190410614014,
|
| 1324 |
+
"learning_rate": 5.2558619939839814e-05,
|
| 1325 |
+
"loss": 0.269,
|
| 1326 |
+
"step": 81500
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 4.4536172061698895,
|
| 1330 |
+
"grad_norm": 3.322237491607666,
|
| 1331 |
+
"learning_rate": 5.16525930489617e-05,
|
| 1332 |
+
"loss": 0.2883,
|
| 1333 |
+
"step": 82000
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 4.4807734086465345,
|
| 1337 |
+
"grad_norm": 1.5292987823486328,
|
| 1338 |
+
"learning_rate": 5.0746566158083575e-05,
|
| 1339 |
+
"loss": 0.2796,
|
| 1340 |
+
"step": 82500
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 4.50792961112318,
|
| 1344 |
+
"grad_norm": 2.0258724689483643,
|
| 1345 |
+
"learning_rate": 4.984053926720545e-05,
|
| 1346 |
+
"loss": 0.2766,
|
| 1347 |
+
"step": 83000
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 4.535085813599826,
|
| 1351 |
+
"grad_norm": 2.583266019821167,
|
| 1352 |
+
"learning_rate": 4.893451237632733e-05,
|
| 1353 |
+
"loss": 0.2975,
|
| 1354 |
+
"step": 83500
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 4.562242016076472,
|
| 1358 |
+
"grad_norm": 2.7614002227783203,
|
| 1359 |
+
"learning_rate": 4.802848548544921e-05,
|
| 1360 |
+
"loss": 0.2846,
|
| 1361 |
+
"step": 84000
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 4.589398218553118,
|
| 1365 |
+
"grad_norm": 4.259634971618652,
|
| 1366 |
+
"learning_rate": 4.712245859457109e-05,
|
| 1367 |
+
"loss": 0.2963,
|
| 1368 |
+
"step": 84500
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 4.600749511188355,
|
| 1372 |
+
"eval_loss": 0.43254056572914124,
|
| 1373 |
+
"eval_runtime": 22.8989,
|
| 1374 |
+
"eval_samples_per_second": 16.114,
|
| 1375 |
+
"eval_steps_per_second": 8.079,
|
| 1376 |
+
"step": 84709
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 4.616554421029763,
|
| 1380 |
+
"grad_norm": 1.8035340309143066,
|
| 1381 |
+
"learning_rate": 4.621643170369297e-05,
|
| 1382 |
+
"loss": 0.2854,
|
| 1383 |
+
"step": 85000
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 4.643710623506409,
|
| 1387 |
+
"grad_norm": 3.2322275638580322,
|
| 1388 |
+
"learning_rate": 4.53122168665966e-05,
|
| 1389 |
+
"loss": 0.287,
|
| 1390 |
+
"step": 85500
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 4.670866825983055,
|
| 1394 |
+
"grad_norm": 7.430004119873047,
|
| 1395 |
+
"learning_rate": 4.440618997571848e-05,
|
| 1396 |
+
"loss": 0.2805,
|
| 1397 |
+
"step": 86000
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 4.6980230284597,
|
| 1401 |
+
"grad_norm": 2.2691986560821533,
|
| 1402 |
+
"learning_rate": 4.3500163084840364e-05,
|
| 1403 |
+
"loss": 0.2874,
|
| 1404 |
+
"step": 86500
|
| 1405 |
+
},
|
| 1406 |
+
{
|
| 1407 |
+
"epoch": 4.725179230936346,
|
| 1408 |
+
"grad_norm": 2.7627906799316406,
|
| 1409 |
+
"learning_rate": 4.2594136193962235e-05,
|
| 1410 |
+
"loss": 0.2818,
|
| 1411 |
+
"step": 87000
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 4.752335433412991,
|
| 1415 |
+
"grad_norm": 3.7362864017486572,
|
| 1416 |
+
"learning_rate": 4.1689921356865876e-05,
|
| 1417 |
+
"loss": 0.2827,
|
| 1418 |
+
"step": 87500
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 4.779491635889637,
|
| 1422 |
+
"grad_norm": 4.409236907958984,
|
| 1423 |
+
"learning_rate": 4.0783894465987754e-05,
|
| 1424 |
+
"loss": 0.2887,
|
| 1425 |
+
"step": 88000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 4.800782098631327,
|
| 1429 |
+
"eval_loss": 0.42746320366859436,
|
| 1430 |
+
"eval_runtime": 23.0563,
|
| 1431 |
+
"eval_samples_per_second": 16.004,
|
| 1432 |
+
"eval_steps_per_second": 8.024,
|
| 1433 |
+
"step": 88392
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 4.806647838366283,
|
| 1437 |
+
"grad_norm": 4.065585136413574,
|
| 1438 |
+
"learning_rate": 3.987786757510963e-05,
|
| 1439 |
+
"loss": 0.2905,
|
| 1440 |
+
"step": 88500
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 4.833804040842929,
|
| 1444 |
+
"grad_norm": 3.655996799468994,
|
| 1445 |
+
"learning_rate": 3.897184068423151e-05,
|
| 1446 |
+
"loss": 0.2716,
|
| 1447 |
+
"step": 89000
|
| 1448 |
+
},
|
| 1449 |
+
{
|
| 1450 |
+
"epoch": 4.860960243319575,
|
| 1451 |
+
"grad_norm": 4.297955513000488,
|
| 1452 |
+
"learning_rate": 3.806762584713515e-05,
|
| 1453 |
+
"loss": 0.29,
|
| 1454 |
+
"step": 89500
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 4.88811644579622,
|
| 1458 |
+
"grad_norm": 3.1703717708587646,
|
| 1459 |
+
"learning_rate": 3.716159895625702e-05,
|
| 1460 |
+
"loss": 0.2754,
|
| 1461 |
+
"step": 90000
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 4.9152726482728655,
|
| 1465 |
+
"grad_norm": 3.771336078643799,
|
| 1466 |
+
"learning_rate": 3.62555720653789e-05,
|
| 1467 |
+
"loss": 0.2839,
|
| 1468 |
+
"step": 90500
|
| 1469 |
+
},
|
| 1470 |
+
{
|
| 1471 |
+
"epoch": 4.942428850749511,
|
| 1472 |
+
"grad_norm": 3.908500909805298,
|
| 1473 |
+
"learning_rate": 3.534954517450078e-05,
|
| 1474 |
+
"loss": 0.2744,
|
| 1475 |
+
"step": 91000
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 4.969585053226157,
|
| 1479 |
+
"grad_norm": 3.199415445327759,
|
| 1480 |
+
"learning_rate": 3.444351828362266e-05,
|
| 1481 |
+
"loss": 0.2834,
|
| 1482 |
+
"step": 91500
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 4.996741255702802,
|
| 1486 |
+
"grad_norm": 3.1083319187164307,
|
| 1487 |
+
"learning_rate": 3.3539303446526294e-05,
|
| 1488 |
+
"loss": 0.2949,
|
| 1489 |
+
"step": 92000
|
| 1490 |
+
},
|
| 1491 |
+
{
|
| 1492 |
+
"epoch": 5.0008146860743,
|
| 1493 |
+
"eval_loss": 0.4291832447052002,
|
| 1494 |
+
"eval_runtime": 23.525,
|
| 1495 |
+
"eval_samples_per_second": 15.685,
|
| 1496 |
+
"eval_steps_per_second": 7.864,
|
| 1497 |
+
"step": 92075
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 5.023897458179448,
|
| 1501 |
+
"grad_norm": 6.121253490447998,
|
| 1502 |
+
"learning_rate": 3.263327655564817e-05,
|
| 1503 |
+
"loss": 0.2289,
|
| 1504 |
+
"step": 92500
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 5.051053660656094,
|
| 1508 |
+
"grad_norm": 2.5016486644744873,
|
| 1509 |
+
"learning_rate": 3.1727249664770055e-05,
|
| 1510 |
+
"loss": 0.248,
|
| 1511 |
+
"step": 93000
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 5.07820986313274,
|
| 1515 |
+
"grad_norm": 2.344914197921753,
|
| 1516 |
+
"learning_rate": 3.0821222773891926e-05,
|
| 1517 |
+
"loss": 0.2315,
|
| 1518 |
+
"step": 93500
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 5.1053660656093856,
|
| 1522 |
+
"grad_norm": 3.519299268722534,
|
| 1523 |
+
"learning_rate": 2.9917007936795567e-05,
|
| 1524 |
+
"loss": 0.2516,
|
| 1525 |
+
"step": 94000
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 5.1325222680860305,
|
| 1529 |
+
"grad_norm": 3.192281484603882,
|
| 1530 |
+
"learning_rate": 2.9010981045917445e-05,
|
| 1531 |
+
"loss": 0.2368,
|
| 1532 |
+
"step": 94500
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 5.159678470562676,
|
| 1536 |
+
"grad_norm": 3.7645487785339355,
|
| 1537 |
+
"learning_rate": 2.8104954155039322e-05,
|
| 1538 |
+
"loss": 0.2573,
|
| 1539 |
+
"step": 95000
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 5.186834673039322,
|
| 1543 |
+
"grad_norm": 4.5175275802612305,
|
| 1544 |
+
"learning_rate": 2.71989272641612e-05,
|
| 1545 |
+
"loss": 0.2437,
|
| 1546 |
+
"step": 95500
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 5.2008472735172715,
|
| 1550 |
+
"eval_loss": 0.4366357922554016,
|
| 1551 |
+
"eval_runtime": 23.1107,
|
| 1552 |
+
"eval_samples_per_second": 15.967,
|
| 1553 |
+
"eval_steps_per_second": 8.005,
|
| 1554 |
+
"step": 95758
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 5.213990875515968,
|
| 1558 |
+
"grad_norm": 4.234988212585449,
|
| 1559 |
+
"learning_rate": 2.629290037328308e-05,
|
| 1560 |
+
"loss": 0.2439,
|
| 1561 |
+
"step": 96000
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 5.241147077992614,
|
| 1565 |
+
"grad_norm": 3.174309492111206,
|
| 1566 |
+
"learning_rate": 2.538687348240496e-05,
|
| 1567 |
+
"loss": 0.2523,
|
| 1568 |
+
"step": 96500
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 5.268303280469259,
|
| 1572 |
+
"grad_norm": 3.7519733905792236,
|
| 1573 |
+
"learning_rate": 2.4480846591526838e-05,
|
| 1574 |
+
"loss": 0.2463,
|
| 1575 |
+
"step": 97000
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 5.295459482945905,
|
| 1579 |
+
"grad_norm": 2.9701130390167236,
|
| 1580 |
+
"learning_rate": 2.357481970064872e-05,
|
| 1581 |
+
"loss": 0.2519,
|
| 1582 |
+
"step": 97500
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 5.322615685422551,
|
| 1586 |
+
"grad_norm": 5.130082130432129,
|
| 1587 |
+
"learning_rate": 2.2672416917334107e-05,
|
| 1588 |
+
"loss": 0.2486,
|
| 1589 |
+
"step": 98000
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 5.349771887899196,
|
| 1593 |
+
"grad_norm": 3.390826463699341,
|
| 1594 |
+
"learning_rate": 2.1766390026455985e-05,
|
| 1595 |
+
"loss": 0.2478,
|
| 1596 |
+
"step": 98500
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 5.376928090375841,
|
| 1600 |
+
"grad_norm": 2.6151483058929443,
|
| 1601 |
+
"learning_rate": 2.0860363135577865e-05,
|
| 1602 |
+
"loss": 0.2424,
|
| 1603 |
+
"step": 99000
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 5.400879860960243,
|
| 1607 |
+
"eval_loss": 0.43580135703086853,
|
| 1608 |
+
"eval_runtime": 23.7346,
|
| 1609 |
+
"eval_samples_per_second": 15.547,
|
| 1610 |
+
"eval_steps_per_second": 7.795,
|
| 1611 |
+
"step": 99441
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 5.404084292852487,
|
| 1615 |
+
"grad_norm": 3.701735496520996,
|
| 1616 |
+
"learning_rate": 1.9954336244699743e-05,
|
| 1617 |
+
"loss": 0.2443,
|
| 1618 |
+
"step": 99500
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 5.431240495329133,
|
| 1622 |
+
"grad_norm": 3.8400754928588867,
|
| 1623 |
+
"learning_rate": 1.9048309353821623e-05,
|
| 1624 |
+
"loss": 0.2276,
|
| 1625 |
+
"step": 100000
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 5.458396697805779,
|
| 1629 |
+
"grad_norm": 2.5460264682769775,
|
| 1630 |
+
"learning_rate": 1.81422824629435e-05,
|
| 1631 |
+
"loss": 0.2313,
|
| 1632 |
+
"step": 100500
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 5.485552900282425,
|
| 1636 |
+
"grad_norm": 5.040457725524902,
|
| 1637 |
+
"learning_rate": 1.7236255572065378e-05,
|
| 1638 |
+
"loss": 0.238,
|
| 1639 |
+
"step": 101000
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 5.51270910275907,
|
| 1643 |
+
"grad_norm": 4.061932563781738,
|
| 1644 |
+
"learning_rate": 1.633022868118726e-05,
|
| 1645 |
+
"loss": 0.2558,
|
| 1646 |
+
"step": 101500
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 5.539865305235716,
|
| 1650 |
+
"grad_norm": 4.28571081161499,
|
| 1651 |
+
"learning_rate": 1.5424201790309136e-05,
|
| 1652 |
+
"loss": 0.2531,
|
| 1653 |
+
"step": 102000
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 5.5670215077123615,
|
| 1657 |
+
"grad_norm": 4.26746129989624,
|
| 1658 |
+
"learning_rate": 1.4519986953212772e-05,
|
| 1659 |
+
"loss": 0.2487,
|
| 1660 |
+
"step": 102500
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 5.594177710189007,
|
| 1664 |
+
"grad_norm": 1.4005869626998901,
|
| 1665 |
+
"learning_rate": 1.3613960062334651e-05,
|
| 1666 |
+
"loss": 0.2528,
|
| 1667 |
+
"step": 103000
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 5.600912448403215,
|
| 1671 |
+
"eval_loss": 0.4331228733062744,
|
| 1672 |
+
"eval_runtime": 25.1727,
|
| 1673 |
+
"eval_samples_per_second": 14.659,
|
| 1674 |
+
"eval_steps_per_second": 7.349,
|
| 1675 |
+
"step": 103124
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 5.621333912665653,
|
| 1679 |
+
"grad_norm": 3.8620026111602783,
|
| 1680 |
+
"learning_rate": 1.2707933171456529e-05,
|
| 1681 |
+
"loss": 0.248,
|
| 1682 |
+
"step": 103500
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 5.648490115142298,
|
| 1686 |
+
"grad_norm": 4.398037433624268,
|
| 1687 |
+
"learning_rate": 1.1803718334360163e-05,
|
| 1688 |
+
"loss": 0.2394,
|
| 1689 |
+
"step": 104000
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 5.675646317618944,
|
| 1693 |
+
"grad_norm": 2.4203145503997803,
|
| 1694 |
+
"learning_rate": 1.0897691443482042e-05,
|
| 1695 |
+
"loss": 0.2344,
|
| 1696 |
+
"step": 104500
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 5.70280252009559,
|
| 1700 |
+
"grad_norm": 3.2735469341278076,
|
| 1701 |
+
"learning_rate": 9.991664552603922e-06,
|
| 1702 |
+
"loss": 0.2391,
|
| 1703 |
+
"step": 105000
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 5.729958722572236,
|
| 1707 |
+
"grad_norm": 3.202352523803711,
|
| 1708 |
+
"learning_rate": 9.0856376617258e-06,
|
| 1709 |
+
"loss": 0.2503,
|
| 1710 |
+
"step": 105500
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 5.757114925048882,
|
| 1714 |
+
"grad_norm": 2.457843065261841,
|
| 1715 |
+
"learning_rate": 8.17961077084768e-06,
|
| 1716 |
+
"loss": 0.233,
|
| 1717 |
+
"step": 106000
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 5.7842711275255265,
|
| 1721 |
+
"grad_norm": 2.1440610885620117,
|
| 1722 |
+
"learning_rate": 7.273583879969558e-06,
|
| 1723 |
+
"loss": 0.2477,
|
| 1724 |
+
"step": 106500
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 5.800945035846187,
|
| 1728 |
+
"eval_loss": 0.43289270997047424,
|
| 1729 |
+
"eval_runtime": 25.7135,
|
| 1730 |
+
"eval_samples_per_second": 14.35,
|
| 1731 |
+
"eval_steps_per_second": 7.195,
|
| 1732 |
+
"step": 106807
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 5.811427330002172,
|
| 1736 |
+
"grad_norm": 2.6855876445770264,
|
| 1737 |
+
"learning_rate": 6.367556989091436e-06,
|
| 1738 |
+
"loss": 0.231,
|
| 1739 |
+
"step": 107000
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 5.838583532478818,
|
| 1743 |
+
"grad_norm": 5.511388778686523,
|
| 1744 |
+
"learning_rate": 5.461530098213316e-06,
|
| 1745 |
+
"loss": 0.2399,
|
| 1746 |
+
"step": 107500
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 5.865739734955464,
|
| 1750 |
+
"grad_norm": 2.992866277694702,
|
| 1751 |
+
"learning_rate": 4.555503207335194e-06,
|
| 1752 |
+
"loss": 0.2367,
|
| 1753 |
+
"step": 108000
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 5.89289593743211,
|
| 1757 |
+
"grad_norm": 2.2536861896514893,
|
| 1758 |
+
"learning_rate": 3.651288370238829e-06,
|
| 1759 |
+
"loss": 0.2545,
|
| 1760 |
+
"step": 108500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 5.920052139908755,
|
| 1764 |
+
"grad_norm": 3.6174511909484863,
|
| 1765 |
+
"learning_rate": 2.745261479360707e-06,
|
| 1766 |
+
"loss": 0.2576,
|
| 1767 |
+
"step": 109000
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 5.947208342385401,
|
| 1771 |
+
"grad_norm": 2.4859135150909424,
|
| 1772 |
+
"learning_rate": 1.8392345884825864e-06,
|
| 1773 |
+
"loss": 0.2448,
|
| 1774 |
+
"step": 109500
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 5.974364544862047,
|
| 1778 |
+
"grad_norm": 1.783007025718689,
|
| 1779 |
+
"learning_rate": 9.350197513862211e-07,
|
| 1780 |
+
"loss": 0.2347,
|
| 1781 |
+
"step": 110000
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 6.0,
|
| 1785 |
+
"step": 110472,
|
| 1786 |
+
"total_flos": 7.299634402197504e+17,
|
| 1787 |
+
"train_loss": 0.3804842073002838,
|
| 1788 |
+
"train_runtime": 59722.3514,
|
| 1789 |
+
"train_samples_per_second": 3.699,
|
| 1790 |
+
"train_steps_per_second": 1.85
|
| 1791 |
+
}
|
| 1792 |
+
],
|
| 1793 |
+
"logging_steps": 500,
|
| 1794 |
+
"max_steps": 110472,
|
| 1795 |
+
"num_input_tokens_seen": 0,
|
| 1796 |
+
"num_train_epochs": 6,
|
| 1797 |
+
"save_steps": 500,
|
| 1798 |
+
"stateful_callbacks": {
|
| 1799 |
+
"TrainerControl": {
|
| 1800 |
+
"args": {
|
| 1801 |
+
"should_epoch_stop": false,
|
| 1802 |
+
"should_evaluate": false,
|
| 1803 |
+
"should_log": false,
|
| 1804 |
+
"should_save": true,
|
| 1805 |
+
"should_training_stop": true
|
| 1806 |
+
},
|
| 1807 |
+
"attributes": {}
|
| 1808 |
+
}
|
| 1809 |
+
},
|
| 1810 |
+
"total_flos": 7.299634402197504e+17,
|
| 1811 |
+
"train_batch_size": 2,
|
| 1812 |
+
"trial_name": null,
|
| 1813 |
+
"trial_params": null
|
| 1814 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec7d042b93d73031dccc443da2cb5446fc90da6638fc7798f7d6525c7d5af74e
|
| 3 |
+
size 5496
|