Upload folder using huggingface_hub
Browse files- README.md +60 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +28 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +113 -0
- trainer_state.json +826 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
base_model: Qwen/Qwen2.5-0.5B-Instruct
|
| 4 |
+
tags:
|
| 5 |
+
- llama-factory
|
| 6 |
+
- full
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
model-index:
|
| 9 |
+
- name: Qwen2.5-0.5B-Instruct-FactThink-SFT
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# Qwen2.5-0.5B-Instruct-FactThink-SFT
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the cot_fact_think_sft_train dataset.
|
| 19 |
+
|
| 20 |
+
## Model description
|
| 21 |
+
|
| 22 |
+
More information needed
|
| 23 |
+
|
| 24 |
+
## Intended uses & limitations
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Training and evaluation data
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training procedure
|
| 33 |
+
|
| 34 |
+
### Training hyperparameters
|
| 35 |
+
|
| 36 |
+
The following hyperparameters were used during training:
|
| 37 |
+
- learning_rate: 0.0001
|
| 38 |
+
- train_batch_size: 2
|
| 39 |
+
- eval_batch_size: 8
|
| 40 |
+
- seed: 42
|
| 41 |
+
- distributed_type: multi-GPU
|
| 42 |
+
- num_devices: 4
|
| 43 |
+
- gradient_accumulation_steps: 4
|
| 44 |
+
- total_train_batch_size: 32
|
| 45 |
+
- total_eval_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: cosine
|
| 48 |
+
- num_epochs: 6.0
|
| 49 |
+
- mixed_precision_training: Native AMP
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
### Framework versions
|
| 56 |
+
|
| 57 |
+
- Transformers 4.41.2
|
| 58 |
+
- Pytorch 2.3.1+cu121
|
| 59 |
+
- Datasets 2.19.2
|
| 60 |
+
- Tokenizers 0.19.1
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.984,
|
| 3 |
+
"total_flos": 6.106743890876826e+16,
|
| 4 |
+
"train_loss": 0.8316886925774356,
|
| 5 |
+
"train_runtime": 2204.228,
|
| 6 |
+
"train_samples_per_second": 16.33,
|
| 7 |
+
"train_steps_per_second": 0.509
|
| 8 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 896,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 4864,
|
| 13 |
+
"max_position_embeddings": 32768,
|
| 14 |
+
"max_window_layers": 21,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 14,
|
| 17 |
+
"num_hidden_layers": 24,
|
| 18 |
+
"num_key_value_heads": 2,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": 32768,
|
| 22 |
+
"tie_word_embeddings": true,
|
| 23 |
+
"torch_dtype": "float32",
|
| 24 |
+
"transformers_version": "4.41.2",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 151936
|
| 28 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.41.2"
|
| 14 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:086dfa5989edf9925de28e05056c7b74ea75594cb7b6b2ffb69d15a6ce11b117
|
| 3 |
+
size 1976163472
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{% set system_message = 'Your role as an assistant involves thoroughly exploring questions through a systematic long thinking process before providing the final precise and accurate solutions. This requires engaging in a comprehensive cycle of analysis, summarizing, exploration, reassessment, reflection, backtracing, and iteration to develop well-considered thinking process. Please structure your response into two main sections: Thought and Solution. In the Thought section, detail your reasoning process using the specified format: <think> {thought with steps separated with \\'\\n\\n\\'} </think> Each step should include detailed considerations such as analysing questions, summarizing relevant findings, brainstorming new ideas, verifying the accuracy of the current steps, refining any errors, and revisiting previous steps. In the Solution section, based on various attempts, explorations, and reflections from the Thought section, systematically present the final solution that you deem correct. The solution should remain a logical, accurate, concise expression style and detail necessary step needed to reach the conclusion, formatted as follows: <answer> {final formatted, precise, and clear solution} </answer> Now, try to solve the following question through the above guidelines:' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\\n' + system_message + '<|im_end|>\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>\\n' + '\\n' }}{% endif %}{% endfor %}",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"padding_side": "right",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.984,
|
| 3 |
+
"total_flos": 6.106743890876826e+16,
|
| 4 |
+
"train_loss": 0.8316886925774356,
|
| 5 |
+
"train_runtime": 2204.228,
|
| 6 |
+
"train_samples_per_second": 16.33,
|
| 7 |
+
"train_steps_per_second": 0.509
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,113 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 10, "total_steps": 1122, "loss": 2.8019, "learning_rate": 9.999686404744783e-05, "epoch": 0.05333333333333334, "percentage": 0.89, "elapsed_time": "0:00:19", "remaining_time": "0:35:56"}
|
| 2 |
+
{"current_steps": 20, "total_steps": 1122, "loss": 2.0956, "learning_rate": 9.996158909866488e-05, "epoch": 0.10666666666666667, "percentage": 1.78, "elapsed_time": "0:00:38", "remaining_time": "0:35:14"}
|
| 3 |
+
{"current_steps": 30, "total_steps": 1122, "loss": 2.0049, "learning_rate": 9.98871470062288e-05, "epoch": 0.16, "percentage": 2.67, "elapsed_time": "0:00:57", "remaining_time": "0:34:42"}
|
| 4 |
+
{"current_steps": 40, "total_steps": 1122, "loss": 1.9912, "learning_rate": 9.977359612865423e-05, "epoch": 0.21333333333333335, "percentage": 3.57, "elapsed_time": "0:01:16", "remaining_time": "0:34:23"}
|
| 5 |
+
{"current_steps": 50, "total_steps": 1122, "loss": 2.0245, "learning_rate": 9.96210254835968e-05, "epoch": 0.26666666666666666, "percentage": 4.46, "elapsed_time": "0:01:35", "remaining_time": "0:34:01"}
|
| 6 |
+
{"current_steps": 60, "total_steps": 1122, "loss": 2.0146, "learning_rate": 9.94295546780682e-05, "epoch": 0.32, "percentage": 5.35, "elapsed_time": "0:01:54", "remaining_time": "0:33:54"}
|
| 7 |
+
{"current_steps": 70, "total_steps": 1122, "loss": 2.0106, "learning_rate": 9.919933381467088e-05, "epoch": 0.37333333333333335, "percentage": 6.24, "elapsed_time": "0:02:14", "remaining_time": "0:33:38"}
|
| 8 |
+
{"current_steps": 80, "total_steps": 1122, "loss": 2.0109, "learning_rate": 9.89305433739258e-05, "epoch": 0.4266666666666667, "percentage": 7.13, "elapsed_time": "0:02:34", "remaining_time": "0:33:30"}
|
| 9 |
+
{"current_steps": 90, "total_steps": 1122, "loss": 2.039, "learning_rate": 9.862339407278564e-05, "epoch": 0.48, "percentage": 8.02, "elapsed_time": "0:02:53", "remaining_time": "0:33:10"}
|
| 10 |
+
{"current_steps": 100, "total_steps": 1122, "loss": 1.9905, "learning_rate": 9.827812669944423e-05, "epoch": 0.5333333333333333, "percentage": 8.91, "elapsed_time": "0:03:13", "remaining_time": "0:32:55"}
|
| 11 |
+
{"current_steps": 110, "total_steps": 1122, "loss": 2.0033, "learning_rate": 9.789501192457188e-05, "epoch": 0.5866666666666667, "percentage": 9.8, "elapsed_time": "0:03:33", "remaining_time": "0:32:43"}
|
| 12 |
+
{"current_steps": 120, "total_steps": 1122, "loss": 1.9661, "learning_rate": 9.747435008912438e-05, "epoch": 0.64, "percentage": 10.7, "elapsed_time": "0:03:53", "remaining_time": "0:32:27"}
|
| 13 |
+
{"current_steps": 130, "total_steps": 1122, "loss": 2.0196, "learning_rate": 9.701647096889219e-05, "epoch": 0.6933333333333334, "percentage": 11.59, "elapsed_time": "0:04:13", "remaining_time": "0:32:18"}
|
| 14 |
+
{"current_steps": 140, "total_steps": 1122, "loss": 1.9727, "learning_rate": 9.652173351597435e-05, "epoch": 0.7466666666666667, "percentage": 12.48, "elapsed_time": "0:04:33", "remaining_time": "0:32:00"}
|
| 15 |
+
{"current_steps": 150, "total_steps": 1122, "loss": 1.985, "learning_rate": 9.599052557737973e-05, "epoch": 0.8, "percentage": 13.37, "elapsed_time": "0:04:53", "remaining_time": "0:31:40"}
|
| 16 |
+
{"current_steps": 160, "total_steps": 1122, "loss": 1.9542, "learning_rate": 9.542326359097619e-05, "epoch": 0.8533333333333334, "percentage": 14.26, "elapsed_time": "0:05:12", "remaining_time": "0:31:20"}
|
| 17 |
+
{"current_steps": 170, "total_steps": 1122, "loss": 1.9835, "learning_rate": 9.482039225902624e-05, "epoch": 0.9066666666666666, "percentage": 15.15, "elapsed_time": "0:05:32", "remaining_time": "0:31:04"}
|
| 18 |
+
{"current_steps": 180, "total_steps": 1122, "loss": 1.9677, "learning_rate": 9.418238419956484e-05, "epoch": 0.96, "percentage": 16.04, "elapsed_time": "0:05:52", "remaining_time": "0:30:45"}
|
| 19 |
+
{"current_steps": 190, "total_steps": 1122, "loss": 1.8294, "learning_rate": 9.350973957589277e-05, "epoch": 1.0133333333333334, "percentage": 16.93, "elapsed_time": "0:06:12", "remaining_time": "0:30:24"}
|
| 20 |
+
{"current_steps": 200, "total_steps": 1122, "loss": 1.42, "learning_rate": 9.280298570447611e-05, "epoch": 1.0666666666666667, "percentage": 17.83, "elapsed_time": "0:06:32", "remaining_time": "0:30:07"}
|
| 21 |
+
{"current_steps": 210, "total_steps": 1122, "loss": 1.381, "learning_rate": 9.206267664155907e-05, "epoch": 1.12, "percentage": 18.72, "elapsed_time": "0:06:52", "remaining_time": "0:29:49"}
|
| 22 |
+
{"current_steps": 220, "total_steps": 1122, "loss": 1.4036, "learning_rate": 9.128939274881421e-05, "epoch": 1.1733333333333333, "percentage": 19.61, "elapsed_time": "0:07:11", "remaining_time": "0:29:31"}
|
| 23 |
+
{"current_steps": 230, "total_steps": 1122, "loss": 1.3998, "learning_rate": 9.048374023837085e-05, "epoch": 1.2266666666666666, "percentage": 20.5, "elapsed_time": "0:07:31", "remaining_time": "0:29:11"}
|
| 24 |
+
{"current_steps": 240, "total_steps": 1122, "loss": 1.421, "learning_rate": 8.964635069757802e-05, "epoch": 1.28, "percentage": 21.39, "elapsed_time": "0:07:51", "remaining_time": "0:28:51"}
|
| 25 |
+
{"current_steps": 250, "total_steps": 1122, "loss": 1.441, "learning_rate": 8.87778805938746e-05, "epoch": 1.3333333333333333, "percentage": 22.28, "elapsed_time": "0:08:10", "remaining_time": "0:28:32"}
|
| 26 |
+
{"current_steps": 260, "total_steps": 1122, "loss": 1.4158, "learning_rate": 8.787901076015486e-05, "epoch": 1.3866666666666667, "percentage": 23.17, "elapsed_time": "0:08:30", "remaining_time": "0:28:13"}
|
| 27 |
+
{"current_steps": 270, "total_steps": 1122, "loss": 1.4436, "learning_rate": 8.695044586103296e-05, "epoch": 1.44, "percentage": 24.06, "elapsed_time": "0:08:50", "remaining_time": "0:27:53"}
|
| 28 |
+
{"current_steps": 280, "total_steps": 1122, "loss": 1.4412, "learning_rate": 8.599291384042442e-05, "epoch": 1.4933333333333334, "percentage": 24.96, "elapsed_time": "0:09:09", "remaining_time": "0:27:33"}
|
| 29 |
+
{"current_steps": 290, "total_steps": 1122, "loss": 1.445, "learning_rate": 8.500716535087814e-05, "epoch": 1.5466666666666666, "percentage": 25.85, "elapsed_time": "0:09:29", "remaining_time": "0:27:13"}
|
| 30 |
+
{"current_steps": 300, "total_steps": 1122, "loss": 1.4719, "learning_rate": 8.399397316510596e-05, "epoch": 1.6, "percentage": 26.74, "elapsed_time": "0:09:48", "remaining_time": "0:26:53"}
|
| 31 |
+
{"current_steps": 310, "total_steps": 1122, "loss": 1.4665, "learning_rate": 8.295413157017127e-05, "epoch": 1.6533333333333333, "percentage": 27.63, "elapsed_time": "0:10:08", "remaining_time": "0:26:34"}
|
| 32 |
+
{"current_steps": 320, "total_steps": 1122, "loss": 1.4728, "learning_rate": 8.188845574481163e-05, "epoch": 1.7066666666666666, "percentage": 28.52, "elapsed_time": "0:10:28", "remaining_time": "0:26:14"}
|
| 33 |
+
{"current_steps": 330, "total_steps": 1122, "loss": 1.4648, "learning_rate": 8.079778112038318e-05, "epoch": 1.76, "percentage": 29.41, "elapsed_time": "0:10:47", "remaining_time": "0:25:54"}
|
| 34 |
+
{"current_steps": 340, "total_steps": 1122, "loss": 1.4525, "learning_rate": 7.968296272592861e-05, "epoch": 1.8133333333333335, "percentage": 30.3, "elapsed_time": "0:11:06", "remaining_time": "0:25:34"}
|
| 35 |
+
{"current_steps": 350, "total_steps": 1122, "loss": 1.4497, "learning_rate": 7.854487451788099e-05, "epoch": 1.8666666666666667, "percentage": 31.19, "elapsed_time": "0:11:26", "remaining_time": "0:25:14"}
|
| 36 |
+
{"current_steps": 360, "total_steps": 1122, "loss": 1.4595, "learning_rate": 7.738440869493018e-05, "epoch": 1.92, "percentage": 32.09, "elapsed_time": "0:11:46", "remaining_time": "0:24:54"}
|
| 37 |
+
{"current_steps": 370, "total_steps": 1122, "loss": 1.4525, "learning_rate": 7.62024749985878e-05, "epoch": 1.9733333333333334, "percentage": 32.98, "elapsed_time": "0:12:06", "remaining_time": "0:24:36"}
|
| 38 |
+
{"current_steps": 380, "total_steps": 1122, "loss": 1.1721, "learning_rate": 7.500000000000001e-05, "epoch": 2.026666666666667, "percentage": 33.87, "elapsed_time": "0:12:26", "remaining_time": "0:24:17"}
|
| 39 |
+
{"current_steps": 390, "total_steps": 1122, "loss": 0.8541, "learning_rate": 7.377792637356645e-05, "epoch": 2.08, "percentage": 34.76, "elapsed_time": "0:12:45", "remaining_time": "0:23:57"}
|
| 40 |
+
{"current_steps": 400, "total_steps": 1122, "loss": 0.855, "learning_rate": 7.253721215793528e-05, "epoch": 2.1333333333333333, "percentage": 35.65, "elapsed_time": "0:13:05", "remaining_time": "0:23:37"}
|
| 41 |
+
{"current_steps": 410, "total_steps": 1122, "loss": 0.861, "learning_rate": 7.127883000495352e-05, "epoch": 2.1866666666666665, "percentage": 36.54, "elapsed_time": "0:13:24", "remaining_time": "0:23:17"}
|
| 42 |
+
{"current_steps": 420, "total_steps": 1122, "loss": 0.8677, "learning_rate": 7.000376641716133e-05, "epoch": 2.24, "percentage": 37.43, "elapsed_time": "0:13:43", "remaining_time": "0:22:56"}
|
| 43 |
+
{"current_steps": 430, "total_steps": 1122, "loss": 0.8831, "learning_rate": 6.87130209744282e-05, "epoch": 2.2933333333333334, "percentage": 38.32, "elapsed_time": "0:14:03", "remaining_time": "0:22:37"}
|
| 44 |
+
{"current_steps": 440, "total_steps": 1122, "loss": 0.8742, "learning_rate": 6.740760555033716e-05, "epoch": 2.3466666666666667, "percentage": 39.22, "elapsed_time": "0:14:23", "remaining_time": "0:22:17"}
|
| 45 |
+
{"current_steps": 450, "total_steps": 1122, "loss": 0.8605, "learning_rate": 6.60885435189314e-05, "epoch": 2.4, "percentage": 40.11, "elapsed_time": "0:14:42", "remaining_time": "0:21:57"}
|
| 46 |
+
{"current_steps": 460, "total_steps": 1122, "loss": 0.8857, "learning_rate": 6.475686895244533e-05, "epoch": 2.453333333333333, "percentage": 41.0, "elapsed_time": "0:15:01", "remaining_time": "0:21:38"}
|
| 47 |
+
{"current_steps": 470, "total_steps": 1122, "loss": 0.8734, "learning_rate": 6.341362581064855e-05, "epoch": 2.506666666666667, "percentage": 41.89, "elapsed_time": "0:15:21", "remaining_time": "0:21:18"}
|
| 48 |
+
{"current_steps": 480, "total_steps": 1122, "loss": 0.9104, "learning_rate": 6.205986712243875e-05, "epoch": 2.56, "percentage": 42.78, "elapsed_time": "0:15:41", "remaining_time": "0:20:58"}
|
| 49 |
+
{"current_steps": 490, "total_steps": 1122, "loss": 0.8724, "learning_rate": 6.069665416032487e-05, "epoch": 2.6133333333333333, "percentage": 43.67, "elapsed_time": "0:16:00", "remaining_time": "0:20:39"}
|
| 50 |
+
{"current_steps": 500, "total_steps": 1122, "loss": 0.9018, "learning_rate": 5.9325055608447655e-05, "epoch": 2.6666666666666665, "percentage": 44.56, "elapsed_time": "0:16:20", "remaining_time": "0:20:19"}
|
| 51 |
+
{"current_steps": 510, "total_steps": 1122, "loss": 0.9018, "learning_rate": 5.7946146724789996e-05, "epoch": 2.7199999999999998, "percentage": 45.45, "elapsed_time": "0:16:39", "remaining_time": "0:19:59"}
|
| 52 |
+
{"current_steps": 520, "total_steps": 1122, "loss": 0.8865, "learning_rate": 5.656100849823366e-05, "epoch": 2.7733333333333334, "percentage": 46.35, "elapsed_time": "0:16:59", "remaining_time": "0:19:39"}
|
| 53 |
+
{"current_steps": 530, "total_steps": 1122, "loss": 0.912, "learning_rate": 5.5170726801123316e-05, "epoch": 2.8266666666666667, "percentage": 47.24, "elapsed_time": "0:17:18", "remaining_time": "0:19:20"}
|
| 54 |
+
{"current_steps": 540, "total_steps": 1122, "loss": 0.8963, "learning_rate": 5.377639153800229e-05, "epoch": 2.88, "percentage": 48.13, "elapsed_time": "0:17:38", "remaining_time": "0:19:00"}
|
| 55 |
+
{"current_steps": 550, "total_steps": 1122, "loss": 0.8931, "learning_rate": 5.2379095791187124e-05, "epoch": 2.9333333333333336, "percentage": 49.02, "elapsed_time": "0:17:57", "remaining_time": "0:18:40"}
|
| 56 |
+
{"current_steps": 560, "total_steps": 1122, "loss": 0.8806, "learning_rate": 5.097993496385112e-05, "epoch": 2.986666666666667, "percentage": 49.91, "elapsed_time": "0:18:17", "remaining_time": "0:18:21"}
|
| 57 |
+
{"current_steps": 570, "total_steps": 1122, "loss": 0.5508, "learning_rate": 4.958000592128834e-05, "epoch": 3.04, "percentage": 50.8, "elapsed_time": "0:18:36", "remaining_time": "0:18:01"}
|
| 58 |
+
{"current_steps": 580, "total_steps": 1122, "loss": 0.4234, "learning_rate": 4.818040613103139e-05, "epoch": 3.0933333333333333, "percentage": 51.69, "elapsed_time": "0:18:56", "remaining_time": "0:17:41"}
|
| 59 |
+
{"current_steps": 590, "total_steps": 1122, "loss": 0.406, "learning_rate": 4.678223280249718e-05, "epoch": 3.1466666666666665, "percentage": 52.58, "elapsed_time": "0:19:16", "remaining_time": "0:17:22"}
|
| 60 |
+
{"current_steps": 600, "total_steps": 1122, "loss": 0.4104, "learning_rate": 4.5386582026834906e-05, "epoch": 3.2, "percentage": 53.48, "elapsed_time": "0:19:35", "remaining_time": "0:17:02"}
|
| 61 |
+
{"current_steps": 610, "total_steps": 1122, "loss": 0.4013, "learning_rate": 4.399454791765075e-05, "epoch": 3.2533333333333334, "percentage": 54.37, "elapsed_time": "0:19:54", "remaining_time": "0:16:43"}
|
| 62 |
+
{"current_steps": 620, "total_steps": 1122, "loss": 0.422, "learning_rate": 4.26072217532829e-05, "epoch": 3.3066666666666666, "percentage": 55.26, "elapsed_time": "0:20:14", "remaining_time": "0:16:23"}
|
| 63 |
+
{"current_steps": 630, "total_steps": 1122, "loss": 0.3986, "learning_rate": 4.122569112129921e-05, "epoch": 3.36, "percentage": 56.15, "elapsed_time": "0:20:34", "remaining_time": "0:16:04"}
|
| 64 |
+
{"current_steps": 640, "total_steps": 1122, "loss": 0.4245, "learning_rate": 3.985103906588821e-05, "epoch": 3.413333333333333, "percentage": 57.04, "elapsed_time": "0:20:53", "remaining_time": "0:15:44"}
|
| 65 |
+
{"current_steps": 650, "total_steps": 1122, "loss": 0.4098, "learning_rate": 3.848434323881197e-05, "epoch": 3.466666666666667, "percentage": 57.93, "elapsed_time": "0:21:13", "remaining_time": "0:15:24"}
|
| 66 |
+
{"current_steps": 660, "total_steps": 1122, "loss": 0.4072, "learning_rate": 3.712667505458622e-05, "epoch": 3.52, "percentage": 58.82, "elapsed_time": "0:21:32", "remaining_time": "0:15:04"}
|
| 67 |
+
{"current_steps": 670, "total_steps": 1122, "loss": 0.4129, "learning_rate": 3.5779098850550186e-05, "epoch": 3.5733333333333333, "percentage": 59.71, "elapsed_time": "0:21:52", "remaining_time": "0:14:45"}
|
| 68 |
+
{"current_steps": 680, "total_steps": 1122, "loss": 0.4029, "learning_rate": 3.444267105248454e-05, "epoch": 3.626666666666667, "percentage": 60.61, "elapsed_time": "0:22:11", "remaining_time": "0:14:25"}
|
| 69 |
+
{"current_steps": 690, "total_steps": 1122, "loss": 0.4154, "learning_rate": 3.311843934643157e-05, "epoch": 3.68, "percentage": 61.5, "elapsed_time": "0:22:30", "remaining_time": "0:14:05"}
|
| 70 |
+
{"current_steps": 700, "total_steps": 1122, "loss": 0.4252, "learning_rate": 3.18074418573668e-05, "epoch": 3.7333333333333334, "percentage": 62.39, "elapsed_time": "0:22:50", "remaining_time": "0:13:46"}
|
| 71 |
+
{"current_steps": 710, "total_steps": 1122, "loss": 0.4042, "learning_rate": 3.0510706335366035e-05, "epoch": 3.7866666666666666, "percentage": 63.28, "elapsed_time": "0:23:09", "remaining_time": "0:13:26"}
|
| 72 |
+
{"current_steps": 720, "total_steps": 1122, "loss": 0.4096, "learning_rate": 2.9229249349905684e-05, "epoch": 3.84, "percentage": 64.17, "elapsed_time": "0:23:29", "remaining_time": "0:13:06"}
|
| 73 |
+
{"current_steps": 730, "total_steps": 1122, "loss": 0.4282, "learning_rate": 2.7964075492928086e-05, "epoch": 3.8933333333333335, "percentage": 65.06, "elapsed_time": "0:23:48", "remaining_time": "0:12:47"}
|
| 74 |
+
{"current_steps": 740, "total_steps": 1122, "loss": 0.4065, "learning_rate": 2.6716176591296548e-05, "epoch": 3.9466666666666668, "percentage": 65.95, "elapsed_time": "0:24:08", "remaining_time": "0:12:27"}
|
| 75 |
+
{"current_steps": 750, "total_steps": 1122, "loss": 0.4176, "learning_rate": 2.5486530929257572e-05, "epoch": 4.0, "percentage": 66.84, "elapsed_time": "0:24:27", "remaining_time": "0:12:07"}
|
| 76 |
+
{"current_steps": 760, "total_steps": 1122, "loss": 0.1568, "learning_rate": 2.4276102481519652e-05, "epoch": 4.053333333333334, "percentage": 67.74, "elapsed_time": "0:24:47", "remaining_time": "0:11:48"}
|
| 77 |
+
{"current_steps": 770, "total_steps": 1122, "loss": 0.1499, "learning_rate": 2.3085840157550037e-05, "epoch": 4.1066666666666665, "percentage": 68.63, "elapsed_time": "0:25:06", "remaining_time": "0:11:28"}
|
| 78 |
+
{"current_steps": 780, "total_steps": 1122, "loss": 0.1465, "learning_rate": 2.1916677057681785e-05, "epoch": 4.16, "percentage": 69.52, "elapsed_time": "0:25:26", "remaining_time": "0:11:09"}
|
| 79 |
+
{"current_steps": 790, "total_steps": 1122, "loss": 0.146, "learning_rate": 2.0769529741614297e-05, "epoch": 4.213333333333333, "percentage": 70.41, "elapsed_time": "0:25:45", "remaining_time": "0:10:49"}
|
| 80 |
+
{"current_steps": 800, "total_steps": 1122, "loss": 0.1455, "learning_rate": 1.9645297509880863e-05, "epoch": 4.266666666666667, "percentage": 71.3, "elapsed_time": "0:26:05", "remaining_time": "0:10:30"}
|
| 81 |
+
{"current_steps": 810, "total_steps": 1122, "loss": 0.1546, "learning_rate": 1.854486169884635e-05, "epoch": 4.32, "percentage": 72.19, "elapsed_time": "0:26:25", "remaining_time": "0:10:10"}
|
| 82 |
+
{"current_steps": 820, "total_steps": 1122, "loss": 0.1432, "learning_rate": 1.746908498978791e-05, "epoch": 4.373333333333333, "percentage": 73.08, "elapsed_time": "0:26:44", "remaining_time": "0:09:51"}
|
| 83 |
+
{"current_steps": 830, "total_steps": 1122, "loss": 0.1508, "learning_rate": 1.6418810732600175e-05, "epoch": 4.426666666666667, "percentage": 73.98, "elapsed_time": "0:27:04", "remaining_time": "0:09:31"}
|
| 84 |
+
{"current_steps": 840, "total_steps": 1122, "loss": 0.1468, "learning_rate": 1.5394862284655264e-05, "epoch": 4.48, "percentage": 74.87, "elapsed_time": "0:27:23", "remaining_time": "0:09:11"}
|
| 85 |
+
{"current_steps": 850, "total_steps": 1122, "loss": 0.1489, "learning_rate": 1.4398042365335746e-05, "epoch": 4.533333333333333, "percentage": 75.76, "elapsed_time": "0:27:43", "remaining_time": "0:08:52"}
|
| 86 |
+
{"current_steps": 860, "total_steps": 1122, "loss": 0.1471, "learning_rate": 1.3429132426746743e-05, "epoch": 4.586666666666667, "percentage": 76.65, "elapsed_time": "0:28:02", "remaining_time": "0:08:32"}
|
| 87 |
+
{"current_steps": 870, "total_steps": 1122, "loss": 0.1439, "learning_rate": 1.2488892041100364e-05, "epoch": 4.64, "percentage": 77.54, "elapsed_time": "0:28:21", "remaining_time": "0:08:12"}
|
| 88 |
+
{"current_steps": 880, "total_steps": 1122, "loss": 0.1413, "learning_rate": 1.1578058305252748e-05, "epoch": 4.693333333333333, "percentage": 78.43, "elapsed_time": "0:28:41", "remaining_time": "0:07:53"}
|
| 89 |
+
{"current_steps": 890, "total_steps": 1122, "loss": 0.1387, "learning_rate": 1.0697345262860636e-05, "epoch": 4.746666666666667, "percentage": 79.32, "elapsed_time": "0:29:01", "remaining_time": "0:07:33"}
|
| 90 |
+
{"current_steps": 900, "total_steps": 1122, "loss": 0.1338, "learning_rate": 9.847443344610297e-06, "epoch": 4.8, "percentage": 80.21, "elapsed_time": "0:29:20", "remaining_time": "0:07:14"}
|
| 91 |
+
{"current_steps": 910, "total_steps": 1122, "loss": 0.1365, "learning_rate": 9.029018826957775e-06, "epoch": 4.8533333333333335, "percentage": 81.11, "elapsed_time": "0:29:39", "remaining_time": "0:06:54"}
|
| 92 |
+
{"current_steps": 920, "total_steps": 1122, "loss": 0.1449, "learning_rate": 8.242713309804728e-06, "epoch": 4.906666666666666, "percentage": 82.0, "elapsed_time": "0:29:59", "remaining_time": "0:06:35"}
|
| 93 |
+
{"current_steps": 930, "total_steps": 1122, "loss": 0.1387, "learning_rate": 7.489143213519301e-06, "epoch": 4.96, "percentage": 82.89, "elapsed_time": "0:30:18", "remaining_time": "0:06:15"}
|
| 94 |
+
{"current_steps": 940, "total_steps": 1122, "loss": 0.1181, "learning_rate": 6.768899295696413e-06, "epoch": 5.013333333333334, "percentage": 83.78, "elapsed_time": "0:30:38", "remaining_time": "0:05:55"}
|
| 95 |
+
{"current_steps": 950, "total_steps": 1122, "loss": 0.0602, "learning_rate": 6.082546188036203e-06, "epoch": 5.066666666666666, "percentage": 84.67, "elapsed_time": "0:30:57", "remaining_time": "0:05:36"}
|
| 96 |
+
{"current_steps": 960, "total_steps": 1122, "loss": 0.0562, "learning_rate": 5.430621953703785e-06, "epoch": 5.12, "percentage": 85.56, "elapsed_time": "0:31:16", "remaining_time": "0:05:16"}
|
| 97 |
+
{"current_steps": 970, "total_steps": 1122, "loss": 0.0576, "learning_rate": 4.813637665517251e-06, "epoch": 5.173333333333334, "percentage": 86.45, "elapsed_time": "0:31:36", "remaining_time": "0:04:57"}
|
| 98 |
+
{"current_steps": 980, "total_steps": 1122, "loss": 0.0552, "learning_rate": 4.232077005294638e-06, "epoch": 5.226666666666667, "percentage": 87.34, "elapsed_time": "0:31:56", "remaining_time": "0:04:37"}
|
| 99 |
+
{"current_steps": 990, "total_steps": 1122, "loss": 0.0528, "learning_rate": 3.686395884673921e-06, "epoch": 5.28, "percentage": 88.24, "elapsed_time": "0:32:15", "remaining_time": "0:04:18"}
|
| 100 |
+
{"current_steps": 1000, "total_steps": 1122, "loss": 0.0556, "learning_rate": 3.177022087703324e-06, "epoch": 5.333333333333333, "percentage": 89.13, "elapsed_time": "0:32:34", "remaining_time": "0:03:58"}
|
| 101 |
+
{"current_steps": 1010, "total_steps": 1122, "loss": 0.0535, "learning_rate": 2.704354935482095e-06, "epoch": 5.386666666666667, "percentage": 90.02, "elapsed_time": "0:32:54", "remaining_time": "0:03:38"}
|
| 102 |
+
{"current_steps": 1020, "total_steps": 1122, "loss": 0.054, "learning_rate": 2.268764973114684e-06, "epoch": 5.44, "percentage": 90.91, "elapsed_time": "0:33:14", "remaining_time": "0:03:19"}
|
| 103 |
+
{"current_steps": 1030, "total_steps": 1122, "loss": 0.0537, "learning_rate": 1.8705936792237255e-06, "epoch": 5.493333333333333, "percentage": 91.8, "elapsed_time": "0:33:33", "remaining_time": "0:02:59"}
|
| 104 |
+
{"current_steps": 1040, "total_steps": 1122, "loss": 0.0538, "learning_rate": 1.5101531982495308e-06, "epoch": 5.546666666666667, "percentage": 92.69, "elapsed_time": "0:33:52", "remaining_time": "0:02:40"}
|
| 105 |
+
{"current_steps": 1050, "total_steps": 1122, "loss": 0.0555, "learning_rate": 1.1877260957459834e-06, "epoch": 5.6, "percentage": 93.58, "elapsed_time": "0:34:12", "remaining_time": "0:02:20"}
|
| 106 |
+
{"current_steps": 1060, "total_steps": 1122, "loss": 0.0581, "learning_rate": 9.035651368646648e-07, "epoch": 5.653333333333333, "percentage": 94.47, "elapsed_time": "0:34:32", "remaining_time": "0:02:01"}
|
| 107 |
+
{"current_steps": 1070, "total_steps": 1122, "loss": 0.0527, "learning_rate": 6.578930882008283e-07, "epoch": 5.706666666666667, "percentage": 95.37, "elapsed_time": "0:34:51", "remaining_time": "0:01:41"}
|
| 108 |
+
{"current_steps": 1080, "total_steps": 1122, "loss": 0.0546, "learning_rate": 4.5090254315662826e-07, "epoch": 5.76, "percentage": 96.26, "elapsed_time": "0:35:10", "remaining_time": "0:01:22"}
|
| 109 |
+
{"current_steps": 1090, "total_steps": 1122, "loss": 0.0546, "learning_rate": 2.8275577095846493e-07, "epoch": 5.8133333333333335, "percentage": 97.15, "elapsed_time": "0:35:30", "remaining_time": "0:01:02"}
|
| 110 |
+
{"current_steps": 1100, "total_steps": 1122, "loss": 0.0539, "learning_rate": 1.5358458944680353e-07, "epoch": 5.866666666666667, "percentage": 98.04, "elapsed_time": "0:35:50", "remaining_time": "0:00:43"}
|
| 111 |
+
{"current_steps": 1110, "total_steps": 1122, "loss": 0.0513, "learning_rate": 6.349026173824713e-08, "epoch": 5.92, "percentage": 98.93, "elapsed_time": "0:36:09", "remaining_time": "0:00:23"}
|
| 112 |
+
{"current_steps": 1120, "total_steps": 1122, "loss": 0.0541, "learning_rate": 1.2543416840771205e-08, "epoch": 5.973333333333334, "percentage": 99.82, "elapsed_time": "0:36:29", "remaining_time": "0:00:03"}
|
| 113 |
+
{"current_steps": 1122, "total_steps": 1122, "epoch": 5.984, "percentage": 100.0, "elapsed_time": "0:36:33", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,826 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.984,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1122,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.05333333333333334,
|
| 13 |
+
"grad_norm": 14.895448684692383,
|
| 14 |
+
"learning_rate": 9.999686404744783e-05,
|
| 15 |
+
"loss": 2.8019,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.10666666666666667,
|
| 20 |
+
"grad_norm": 3.8985605239868164,
|
| 21 |
+
"learning_rate": 9.996158909866488e-05,
|
| 22 |
+
"loss": 2.0956,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.16,
|
| 27 |
+
"grad_norm": 3.3862061500549316,
|
| 28 |
+
"learning_rate": 9.98871470062288e-05,
|
| 29 |
+
"loss": 2.0049,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.21333333333333335,
|
| 34 |
+
"grad_norm": 4.111490726470947,
|
| 35 |
+
"learning_rate": 9.977359612865423e-05,
|
| 36 |
+
"loss": 1.9912,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.26666666666666666,
|
| 41 |
+
"grad_norm": 3.1158804893493652,
|
| 42 |
+
"learning_rate": 9.96210254835968e-05,
|
| 43 |
+
"loss": 2.0245,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.32,
|
| 48 |
+
"grad_norm": 2.631307601928711,
|
| 49 |
+
"learning_rate": 9.94295546780682e-05,
|
| 50 |
+
"loss": 2.0146,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.37333333333333335,
|
| 55 |
+
"grad_norm": 2.765378713607788,
|
| 56 |
+
"learning_rate": 9.919933381467088e-05,
|
| 57 |
+
"loss": 2.0106,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.4266666666666667,
|
| 62 |
+
"grad_norm": 2.667142629623413,
|
| 63 |
+
"learning_rate": 9.89305433739258e-05,
|
| 64 |
+
"loss": 2.0109,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.48,
|
| 69 |
+
"grad_norm": 2.601536750793457,
|
| 70 |
+
"learning_rate": 9.862339407278564e-05,
|
| 71 |
+
"loss": 2.039,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.5333333333333333,
|
| 76 |
+
"grad_norm": 2.5337209701538086,
|
| 77 |
+
"learning_rate": 9.827812669944423e-05,
|
| 78 |
+
"loss": 1.9905,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.5866666666666667,
|
| 83 |
+
"grad_norm": 2.725510835647583,
|
| 84 |
+
"learning_rate": 9.789501192457188e-05,
|
| 85 |
+
"loss": 2.0033,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.64,
|
| 90 |
+
"grad_norm": 2.6179168224334717,
|
| 91 |
+
"learning_rate": 9.747435008912438e-05,
|
| 92 |
+
"loss": 1.9661,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.6933333333333334,
|
| 97 |
+
"grad_norm": 2.63457989692688,
|
| 98 |
+
"learning_rate": 9.701647096889219e-05,
|
| 99 |
+
"loss": 2.0196,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.7466666666666667,
|
| 104 |
+
"grad_norm": 2.5192859172821045,
|
| 105 |
+
"learning_rate": 9.652173351597435e-05,
|
| 106 |
+
"loss": 1.9727,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.8,
|
| 111 |
+
"grad_norm": 2.644923686981201,
|
| 112 |
+
"learning_rate": 9.599052557737973e-05,
|
| 113 |
+
"loss": 1.985,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.8533333333333334,
|
| 118 |
+
"grad_norm": 2.377471446990967,
|
| 119 |
+
"learning_rate": 9.542326359097619e-05,
|
| 120 |
+
"loss": 1.9542,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.9066666666666666,
|
| 125 |
+
"grad_norm": 2.525643825531006,
|
| 126 |
+
"learning_rate": 9.482039225902624e-05,
|
| 127 |
+
"loss": 1.9835,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.96,
|
| 132 |
+
"grad_norm": 2.341500759124756,
|
| 133 |
+
"learning_rate": 9.418238419956484e-05,
|
| 134 |
+
"loss": 1.9677,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 1.0133333333333334,
|
| 139 |
+
"grad_norm": 2.5298564434051514,
|
| 140 |
+
"learning_rate": 9.350973957589277e-05,
|
| 141 |
+
"loss": 1.8294,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.0666666666666667,
|
| 146 |
+
"grad_norm": 2.342876672744751,
|
| 147 |
+
"learning_rate": 9.280298570447611e-05,
|
| 148 |
+
"loss": 1.42,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.12,
|
| 153 |
+
"grad_norm": 2.60962176322937,
|
| 154 |
+
"learning_rate": 9.206267664155907e-05,
|
| 155 |
+
"loss": 1.381,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.1733333333333333,
|
| 160 |
+
"grad_norm": 2.7232189178466797,
|
| 161 |
+
"learning_rate": 9.128939274881421e-05,
|
| 162 |
+
"loss": 1.4036,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.2266666666666666,
|
| 167 |
+
"grad_norm": 2.5342235565185547,
|
| 168 |
+
"learning_rate": 9.048374023837085e-05,
|
| 169 |
+
"loss": 1.3998,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.28,
|
| 174 |
+
"grad_norm": 2.335803985595703,
|
| 175 |
+
"learning_rate": 8.964635069757802e-05,
|
| 176 |
+
"loss": 1.421,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.3333333333333333,
|
| 181 |
+
"grad_norm": 2.223832607269287,
|
| 182 |
+
"learning_rate": 8.87778805938746e-05,
|
| 183 |
+
"loss": 1.441,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.3866666666666667,
|
| 188 |
+
"grad_norm": 2.348698854446411,
|
| 189 |
+
"learning_rate": 8.787901076015486e-05,
|
| 190 |
+
"loss": 1.4158,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.44,
|
| 195 |
+
"grad_norm": 2.3340389728546143,
|
| 196 |
+
"learning_rate": 8.695044586103296e-05,
|
| 197 |
+
"loss": 1.4436,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.4933333333333334,
|
| 202 |
+
"grad_norm": 2.277675151824951,
|
| 203 |
+
"learning_rate": 8.599291384042442e-05,
|
| 204 |
+
"loss": 1.4412,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.5466666666666666,
|
| 209 |
+
"grad_norm": 2.437199592590332,
|
| 210 |
+
"learning_rate": 8.500716535087814e-05,
|
| 211 |
+
"loss": 1.445,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.6,
|
| 216 |
+
"grad_norm": 2.497368812561035,
|
| 217 |
+
"learning_rate": 8.399397316510596e-05,
|
| 218 |
+
"loss": 1.4719,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.6533333333333333,
|
| 223 |
+
"grad_norm": 2.4297564029693604,
|
| 224 |
+
"learning_rate": 8.295413157017127e-05,
|
| 225 |
+
"loss": 1.4665,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.7066666666666666,
|
| 230 |
+
"grad_norm": 2.555246353149414,
|
| 231 |
+
"learning_rate": 8.188845574481163e-05,
|
| 232 |
+
"loss": 1.4728,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.76,
|
| 237 |
+
"grad_norm": 2.552035331726074,
|
| 238 |
+
"learning_rate": 8.079778112038318e-05,
|
| 239 |
+
"loss": 1.4648,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.8133333333333335,
|
| 244 |
+
"grad_norm": 2.568624496459961,
|
| 245 |
+
"learning_rate": 7.968296272592861e-05,
|
| 246 |
+
"loss": 1.4525,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.8666666666666667,
|
| 251 |
+
"grad_norm": 2.3397440910339355,
|
| 252 |
+
"learning_rate": 7.854487451788099e-05,
|
| 253 |
+
"loss": 1.4497,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.92,
|
| 258 |
+
"grad_norm": 2.2001404762268066,
|
| 259 |
+
"learning_rate": 7.738440869493018e-05,
|
| 260 |
+
"loss": 1.4595,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.9733333333333334,
|
| 265 |
+
"grad_norm": 2.279663324356079,
|
| 266 |
+
"learning_rate": 7.62024749985878e-05,
|
| 267 |
+
"loss": 1.4525,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 2.026666666666667,
|
| 272 |
+
"grad_norm": 2.764693021774292,
|
| 273 |
+
"learning_rate": 7.500000000000001e-05,
|
| 274 |
+
"loss": 1.1721,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 2.08,
|
| 279 |
+
"grad_norm": 2.481473207473755,
|
| 280 |
+
"learning_rate": 7.377792637356645e-05,
|
| 281 |
+
"loss": 0.8541,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.1333333333333333,
|
| 286 |
+
"grad_norm": 2.4774906635284424,
|
| 287 |
+
"learning_rate": 7.253721215793528e-05,
|
| 288 |
+
"loss": 0.855,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.1866666666666665,
|
| 293 |
+
"grad_norm": 2.4302332401275635,
|
| 294 |
+
"learning_rate": 7.127883000495352e-05,
|
| 295 |
+
"loss": 0.861,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.24,
|
| 300 |
+
"grad_norm": 2.2290687561035156,
|
| 301 |
+
"learning_rate": 7.000376641716133e-05,
|
| 302 |
+
"loss": 0.8677,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 2.2933333333333334,
|
| 307 |
+
"grad_norm": 2.5468499660491943,
|
| 308 |
+
"learning_rate": 6.87130209744282e-05,
|
| 309 |
+
"loss": 0.8831,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 2.3466666666666667,
|
| 314 |
+
"grad_norm": 2.432751417160034,
|
| 315 |
+
"learning_rate": 6.740760555033716e-05,
|
| 316 |
+
"loss": 0.8742,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 2.4,
|
| 321 |
+
"grad_norm": 2.4456443786621094,
|
| 322 |
+
"learning_rate": 6.60885435189314e-05,
|
| 323 |
+
"loss": 0.8605,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 2.453333333333333,
|
| 328 |
+
"grad_norm": 2.675802707672119,
|
| 329 |
+
"learning_rate": 6.475686895244533e-05,
|
| 330 |
+
"loss": 0.8857,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.506666666666667,
|
| 335 |
+
"grad_norm": 2.5510013103485107,
|
| 336 |
+
"learning_rate": 6.341362581064855e-05,
|
| 337 |
+
"loss": 0.8734,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.56,
|
| 342 |
+
"grad_norm": 2.669424533843994,
|
| 343 |
+
"learning_rate": 6.205986712243875e-05,
|
| 344 |
+
"loss": 0.9104,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.6133333333333333,
|
| 349 |
+
"grad_norm": 2.881044387817383,
|
| 350 |
+
"learning_rate": 6.069665416032487e-05,
|
| 351 |
+
"loss": 0.8724,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.6666666666666665,
|
| 356 |
+
"grad_norm": 2.5946762561798096,
|
| 357 |
+
"learning_rate": 5.9325055608447655e-05,
|
| 358 |
+
"loss": 0.9018,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.7199999999999998,
|
| 363 |
+
"grad_norm": 2.388828754425049,
|
| 364 |
+
"learning_rate": 5.7946146724789996e-05,
|
| 365 |
+
"loss": 0.9018,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.7733333333333334,
|
| 370 |
+
"grad_norm": 2.5408201217651367,
|
| 371 |
+
"learning_rate": 5.656100849823366e-05,
|
| 372 |
+
"loss": 0.8865,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.8266666666666667,
|
| 377 |
+
"grad_norm": 2.56980037689209,
|
| 378 |
+
"learning_rate": 5.5170726801123316e-05,
|
| 379 |
+
"loss": 0.912,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.88,
|
| 384 |
+
"grad_norm": 2.4559166431427,
|
| 385 |
+
"learning_rate": 5.377639153800229e-05,
|
| 386 |
+
"loss": 0.8963,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.9333333333333336,
|
| 391 |
+
"grad_norm": 2.4111409187316895,
|
| 392 |
+
"learning_rate": 5.2379095791187124e-05,
|
| 393 |
+
"loss": 0.8931,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.986666666666667,
|
| 398 |
+
"grad_norm": 2.4074866771698,
|
| 399 |
+
"learning_rate": 5.097993496385112e-05,
|
| 400 |
+
"loss": 0.8806,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 3.04,
|
| 405 |
+
"grad_norm": 3.0234549045562744,
|
| 406 |
+
"learning_rate": 4.958000592128834e-05,
|
| 407 |
+
"loss": 0.5508,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 3.0933333333333333,
|
| 412 |
+
"grad_norm": 2.288658618927002,
|
| 413 |
+
"learning_rate": 4.818040613103139e-05,
|
| 414 |
+
"loss": 0.4234,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 3.1466666666666665,
|
| 419 |
+
"grad_norm": 2.0306291580200195,
|
| 420 |
+
"learning_rate": 4.678223280249718e-05,
|
| 421 |
+
"loss": 0.406,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 3.2,
|
| 426 |
+
"grad_norm": 2.1763899326324463,
|
| 427 |
+
"learning_rate": 4.5386582026834906e-05,
|
| 428 |
+
"loss": 0.4104,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 3.2533333333333334,
|
| 433 |
+
"grad_norm": 2.181497097015381,
|
| 434 |
+
"learning_rate": 4.399454791765075e-05,
|
| 435 |
+
"loss": 0.4013,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 3.3066666666666666,
|
| 440 |
+
"grad_norm": 2.2306203842163086,
|
| 441 |
+
"learning_rate": 4.26072217532829e-05,
|
| 442 |
+
"loss": 0.422,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.36,
|
| 447 |
+
"grad_norm": 2.1796200275421143,
|
| 448 |
+
"learning_rate": 4.122569112129921e-05,
|
| 449 |
+
"loss": 0.3986,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 3.413333333333333,
|
| 454 |
+
"grad_norm": 2.1730310916900635,
|
| 455 |
+
"learning_rate": 3.985103906588821e-05,
|
| 456 |
+
"loss": 0.4245,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 3.466666666666667,
|
| 461 |
+
"grad_norm": 2.2129032611846924,
|
| 462 |
+
"learning_rate": 3.848434323881197e-05,
|
| 463 |
+
"loss": 0.4098,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 3.52,
|
| 468 |
+
"grad_norm": 2.097221612930298,
|
| 469 |
+
"learning_rate": 3.712667505458622e-05,
|
| 470 |
+
"loss": 0.4072,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 3.5733333333333333,
|
| 475 |
+
"grad_norm": 2.1691372394561768,
|
| 476 |
+
"learning_rate": 3.5779098850550186e-05,
|
| 477 |
+
"loss": 0.4129,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 3.626666666666667,
|
| 482 |
+
"grad_norm": 2.146040916442871,
|
| 483 |
+
"learning_rate": 3.444267105248454e-05,
|
| 484 |
+
"loss": 0.4029,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 3.68,
|
| 489 |
+
"grad_norm": 2.097416877746582,
|
| 490 |
+
"learning_rate": 3.311843934643157e-05,
|
| 491 |
+
"loss": 0.4154,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 3.7333333333333334,
|
| 496 |
+
"grad_norm": 2.1109459400177,
|
| 497 |
+
"learning_rate": 3.18074418573668e-05,
|
| 498 |
+
"loss": 0.4252,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 3.7866666666666666,
|
| 503 |
+
"grad_norm": 2.1149725914001465,
|
| 504 |
+
"learning_rate": 3.0510706335366035e-05,
|
| 505 |
+
"loss": 0.4042,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 3.84,
|
| 510 |
+
"grad_norm": 2.1683661937713623,
|
| 511 |
+
"learning_rate": 2.9229249349905684e-05,
|
| 512 |
+
"loss": 0.4096,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 3.8933333333333335,
|
| 517 |
+
"grad_norm": 2.069917917251587,
|
| 518 |
+
"learning_rate": 2.7964075492928086e-05,
|
| 519 |
+
"loss": 0.4282,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 3.9466666666666668,
|
| 524 |
+
"grad_norm": 2.2071914672851562,
|
| 525 |
+
"learning_rate": 2.6716176591296548e-05,
|
| 526 |
+
"loss": 0.4065,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 4.0,
|
| 531 |
+
"grad_norm": 2.092756748199463,
|
| 532 |
+
"learning_rate": 2.5486530929257572e-05,
|
| 533 |
+
"loss": 0.4176,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 4.053333333333334,
|
| 538 |
+
"grad_norm": 1.728727102279663,
|
| 539 |
+
"learning_rate": 2.4276102481519652e-05,
|
| 540 |
+
"loss": 0.1568,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 4.1066666666666665,
|
| 545 |
+
"grad_norm": 1.3281182050704956,
|
| 546 |
+
"learning_rate": 2.3085840157550037e-05,
|
| 547 |
+
"loss": 0.1499,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 4.16,
|
| 552 |
+
"grad_norm": 1.4647213220596313,
|
| 553 |
+
"learning_rate": 2.1916677057681785e-05,
|
| 554 |
+
"loss": 0.1465,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 4.213333333333333,
|
| 559 |
+
"grad_norm": 1.47672438621521,
|
| 560 |
+
"learning_rate": 2.0769529741614297e-05,
|
| 561 |
+
"loss": 0.146,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 4.266666666666667,
|
| 566 |
+
"grad_norm": 1.5165902376174927,
|
| 567 |
+
"learning_rate": 1.9645297509880863e-05,
|
| 568 |
+
"loss": 0.1455,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 4.32,
|
| 573 |
+
"grad_norm": 1.497672200202942,
|
| 574 |
+
"learning_rate": 1.854486169884635e-05,
|
| 575 |
+
"loss": 0.1546,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 4.373333333333333,
|
| 580 |
+
"grad_norm": 1.5302739143371582,
|
| 581 |
+
"learning_rate": 1.746908498978791e-05,
|
| 582 |
+
"loss": 0.1432,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 4.426666666666667,
|
| 587 |
+
"grad_norm": 1.5722713470458984,
|
| 588 |
+
"learning_rate": 1.6418810732600175e-05,
|
| 589 |
+
"loss": 0.1508,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 4.48,
|
| 594 |
+
"grad_norm": 1.3972179889678955,
|
| 595 |
+
"learning_rate": 1.5394862284655264e-05,
|
| 596 |
+
"loss": 0.1468,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 4.533333333333333,
|
| 601 |
+
"grad_norm": 1.422791600227356,
|
| 602 |
+
"learning_rate": 1.4398042365335746e-05,
|
| 603 |
+
"loss": 0.1489,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 4.586666666666667,
|
| 608 |
+
"grad_norm": 1.4409677982330322,
|
| 609 |
+
"learning_rate": 1.3429132426746743e-05,
|
| 610 |
+
"loss": 0.1471,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 4.64,
|
| 615 |
+
"grad_norm": 1.3254153728485107,
|
| 616 |
+
"learning_rate": 1.2488892041100364e-05,
|
| 617 |
+
"loss": 0.1439,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 4.693333333333333,
|
| 622 |
+
"grad_norm": 1.4582805633544922,
|
| 623 |
+
"learning_rate": 1.1578058305252748e-05,
|
| 624 |
+
"loss": 0.1413,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 4.746666666666667,
|
| 629 |
+
"grad_norm": 1.3275575637817383,
|
| 630 |
+
"learning_rate": 1.0697345262860636e-05,
|
| 631 |
+
"loss": 0.1387,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 4.8,
|
| 636 |
+
"grad_norm": 1.4769142866134644,
|
| 637 |
+
"learning_rate": 9.847443344610297e-06,
|
| 638 |
+
"loss": 0.1338,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 4.8533333333333335,
|
| 643 |
+
"grad_norm": 1.5396736860275269,
|
| 644 |
+
"learning_rate": 9.029018826957775e-06,
|
| 645 |
+
"loss": 0.1365,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 4.906666666666666,
|
| 650 |
+
"grad_norm": 1.4937539100646973,
|
| 651 |
+
"learning_rate": 8.242713309804728e-06,
|
| 652 |
+
"loss": 0.1449,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 4.96,
|
| 657 |
+
"grad_norm": 1.3706806898117065,
|
| 658 |
+
"learning_rate": 7.489143213519301e-06,
|
| 659 |
+
"loss": 0.1387,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 5.013333333333334,
|
| 664 |
+
"grad_norm": 0.7881463170051575,
|
| 665 |
+
"learning_rate": 6.768899295696413e-06,
|
| 666 |
+
"loss": 0.1181,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 5.066666666666666,
|
| 671 |
+
"grad_norm": 0.7070630788803101,
|
| 672 |
+
"learning_rate": 6.082546188036203e-06,
|
| 673 |
+
"loss": 0.0602,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 5.12,
|
| 678 |
+
"grad_norm": 0.7920947670936584,
|
| 679 |
+
"learning_rate": 5.430621953703785e-06,
|
| 680 |
+
"loss": 0.0562,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 5.173333333333334,
|
| 685 |
+
"grad_norm": 0.7710321545600891,
|
| 686 |
+
"learning_rate": 4.813637665517251e-06,
|
| 687 |
+
"loss": 0.0576,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 5.226666666666667,
|
| 692 |
+
"grad_norm": 0.7036638259887695,
|
| 693 |
+
"learning_rate": 4.232077005294638e-06,
|
| 694 |
+
"loss": 0.0552,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 5.28,
|
| 699 |
+
"grad_norm": 0.7647135853767395,
|
| 700 |
+
"learning_rate": 3.686395884673921e-06,
|
| 701 |
+
"loss": 0.0528,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 5.333333333333333,
|
| 706 |
+
"grad_norm": 0.8770582675933838,
|
| 707 |
+
"learning_rate": 3.177022087703324e-06,
|
| 708 |
+
"loss": 0.0556,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 5.386666666666667,
|
| 713 |
+
"grad_norm": 0.8413597345352173,
|
| 714 |
+
"learning_rate": 2.704354935482095e-06,
|
| 715 |
+
"loss": 0.0535,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 5.44,
|
| 720 |
+
"grad_norm": 0.8006970882415771,
|
| 721 |
+
"learning_rate": 2.268764973114684e-06,
|
| 722 |
+
"loss": 0.054,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 5.493333333333333,
|
| 727 |
+
"grad_norm": 0.7778401374816895,
|
| 728 |
+
"learning_rate": 1.8705936792237255e-06,
|
| 729 |
+
"loss": 0.0537,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 5.546666666666667,
|
| 734 |
+
"grad_norm": 0.7576852440834045,
|
| 735 |
+
"learning_rate": 1.5101531982495308e-06,
|
| 736 |
+
"loss": 0.0538,
|
| 737 |
+
"step": 1040
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 5.6,
|
| 741 |
+
"grad_norm": 0.8617320656776428,
|
| 742 |
+
"learning_rate": 1.1877260957459834e-06,
|
| 743 |
+
"loss": 0.0555,
|
| 744 |
+
"step": 1050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 5.653333333333333,
|
| 748 |
+
"grad_norm": 0.9345221519470215,
|
| 749 |
+
"learning_rate": 9.035651368646648e-07,
|
| 750 |
+
"loss": 0.0581,
|
| 751 |
+
"step": 1060
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 5.706666666666667,
|
| 755 |
+
"grad_norm": 0.8783689737319946,
|
| 756 |
+
"learning_rate": 6.578930882008283e-07,
|
| 757 |
+
"loss": 0.0527,
|
| 758 |
+
"step": 1070
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 5.76,
|
| 762 |
+
"grad_norm": 0.7886053323745728,
|
| 763 |
+
"learning_rate": 4.5090254315662826e-07,
|
| 764 |
+
"loss": 0.0546,
|
| 765 |
+
"step": 1080
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 5.8133333333333335,
|
| 769 |
+
"grad_norm": 0.8314456939697266,
|
| 770 |
+
"learning_rate": 2.8275577095846493e-07,
|
| 771 |
+
"loss": 0.0546,
|
| 772 |
+
"step": 1090
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 5.866666666666667,
|
| 776 |
+
"grad_norm": 0.743155837059021,
|
| 777 |
+
"learning_rate": 1.5358458944680353e-07,
|
| 778 |
+
"loss": 0.0539,
|
| 779 |
+
"step": 1100
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 5.92,
|
| 783 |
+
"grad_norm": 0.8680102825164795,
|
| 784 |
+
"learning_rate": 6.349026173824713e-08,
|
| 785 |
+
"loss": 0.0513,
|
| 786 |
+
"step": 1110
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 5.973333333333334,
|
| 790 |
+
"grad_norm": 0.8589802980422974,
|
| 791 |
+
"learning_rate": 1.2543416840771205e-08,
|
| 792 |
+
"loss": 0.0541,
|
| 793 |
+
"step": 1120
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 5.984,
|
| 797 |
+
"step": 1122,
|
| 798 |
+
"total_flos": 6.106743890876826e+16,
|
| 799 |
+
"train_loss": 0.8316886925774356,
|
| 800 |
+
"train_runtime": 2204.228,
|
| 801 |
+
"train_samples_per_second": 16.33,
|
| 802 |
+
"train_steps_per_second": 0.509
|
| 803 |
+
}
|
| 804 |
+
],
|
| 805 |
+
"logging_steps": 10,
|
| 806 |
+
"max_steps": 1122,
|
| 807 |
+
"num_input_tokens_seen": 0,
|
| 808 |
+
"num_train_epochs": 6,
|
| 809 |
+
"save_steps": 2000,
|
| 810 |
+
"stateful_callbacks": {
|
| 811 |
+
"TrainerControl": {
|
| 812 |
+
"args": {
|
| 813 |
+
"should_epoch_stop": false,
|
| 814 |
+
"should_evaluate": false,
|
| 815 |
+
"should_log": false,
|
| 816 |
+
"should_save": false,
|
| 817 |
+
"should_training_stop": false
|
| 818 |
+
},
|
| 819 |
+
"attributes": {}
|
| 820 |
+
}
|
| 821 |
+
},
|
| 822 |
+
"total_flos": 6.106743890876826e+16,
|
| 823 |
+
"train_batch_size": 2,
|
| 824 |
+
"trial_name": null,
|
| 825 |
+
"trial_params": null
|
| 826 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91fbc25bce6cbb7a7d71d7730b3d620a1cef1a997307944321ec719a907b4bf3
|
| 3 |
+
size 5368
|
training_loss.png
ADDED
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|