End of training
Browse files- README.md +7 -8
- all_results.json +5 -5
- model.safetensors +1 -1
- special_tokens_map.json +1 -1
- tokenizer.json +2 -2
- tokenizer_config.json +3 -2
- train_results.json +5 -5
- trainer_state.json +949 -353
- training_args.bin +2 -2
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
base_model:
|
| 3 |
library_name: transformers
|
| 4 |
model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-bold_rugged_camel
|
| 5 |
tags:
|
|
@@ -8,14 +8,13 @@ tags:
|
|
| 8 |
- grpo
|
| 9 |
- gensyn
|
| 10 |
- I am bold rugged camel
|
| 11 |
-
- unsloth
|
| 12 |
- trl
|
| 13 |
licence: license
|
| 14 |
---
|
| 15 |
|
| 16 |
# Model Card for Qwen2.5-0.5B-Instruct-Gensyn-Swarm-bold_rugged_camel
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [
|
| 19 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 20 |
|
| 21 |
## Quick start
|
|
@@ -38,10 +37,10 @@ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing
|
|
| 38 |
|
| 39 |
### Framework versions
|
| 40 |
|
| 41 |
-
- TRL: 0.
|
| 42 |
-
- Transformers: 4.
|
| 43 |
-
- Pytorch: 2.
|
| 44 |
-
- Datasets: 3.
|
| 45 |
- Tokenizers: 0.21.1
|
| 46 |
|
| 47 |
## Citations
|
|
@@ -63,7 +62,7 @@ Cite TRL as:
|
|
| 63 |
```bibtex
|
| 64 |
@misc{vonwerra2022trl,
|
| 65 |
title = {{TRL: Transformer Reinforcement Learning}},
|
| 66 |
-
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin
|
| 67 |
year = 2020,
|
| 68 |
journal = {GitHub repository},
|
| 69 |
publisher = {GitHub},
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: unsloth/Qwen2.5-0.5B-Instruct
|
| 3 |
library_name: transformers
|
| 4 |
model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-bold_rugged_camel
|
| 5 |
tags:
|
|
|
|
| 8 |
- grpo
|
| 9 |
- gensyn
|
| 10 |
- I am bold rugged camel
|
|
|
|
| 11 |
- trl
|
| 12 |
licence: license
|
| 13 |
---
|
| 14 |
|
| 15 |
# Model Card for Qwen2.5-0.5B-Instruct-Gensyn-Swarm-bold_rugged_camel
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [unsloth/Qwen2.5-0.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct).
|
| 18 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 19 |
|
| 20 |
## Quick start
|
|
|
|
| 37 |
|
| 38 |
### Framework versions
|
| 39 |
|
| 40 |
+
- TRL: 0.17.0
|
| 41 |
+
- Transformers: 4.51.3
|
| 42 |
+
- Pytorch: 2.7.0
|
| 43 |
+
- Datasets: 3.5.1
|
| 44 |
- Tokenizers: 0.21.1
|
| 45 |
|
| 46 |
## Citations
|
|
|
|
| 62 |
```bibtex
|
| 63 |
@misc{vonwerra2022trl,
|
| 64 |
title = {{TRL: Transformer Reinforcement Learning}},
|
| 65 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
|
| 66 |
year = 2020,
|
| 67 |
journal = {GitHub repository},
|
| 68 |
publisher = {GitHub},
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": -0.006354737589201066,
|
| 4 |
+
"train_runtime": 2680.4196,
|
| 5 |
+
"train_samples": 12,
|
| 6 |
+
"train_samples_per_second": 0.149,
|
| 7 |
+
"train_steps_per_second": 0.019
|
| 8 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1976163472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:007406f7c32c1b25bc4351a4ecf89b40d66feed1715992e34ef5188c158b768e
|
| 3 |
size 1976163472
|
special_tokens_map.json
CHANGED
|
@@ -22,7 +22,7 @@
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
-
"content": "<|
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
|
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
+
"content": "<|vision_pad|>",
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64e71213db910f5cafa86d35091f37393dcc344b1bbc34091d1b3eed4cca01d5
|
| 3 |
+
size 11422064
|
tokenizer_config.json
CHANGED
|
@@ -200,8 +200,9 @@
|
|
| 200 |
"eos_token": "<|im_end|>",
|
| 201 |
"errors": "replace",
|
| 202 |
"extra_special_tokens": {},
|
| 203 |
-
"model_max_length":
|
| 204 |
-
"pad_token": "<|
|
|
|
|
| 205 |
"split_special_tokens": false,
|
| 206 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
"unk_token": null
|
|
|
|
| 200 |
"eos_token": "<|im_end|>",
|
| 201 |
"errors": "replace",
|
| 202 |
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 32768,
|
| 204 |
+
"pad_token": "<|vision_pad|>",
|
| 205 |
+
"padding_side": "left",
|
| 206 |
"split_special_tokens": false,
|
| 207 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 208 |
"unk_token": null
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": -0.006354737589201066,
|
| 4 |
+
"train_runtime": 2680.4196,
|
| 5 |
+
"train_samples": 12,
|
| 6 |
+
"train_samples_per_second": 0.149,
|
| 7 |
+
"train_steps_per_second": 0.019
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,408 +1,1004 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
"
|
| 18 |
-
"
|
| 19 |
-
"
|
| 20 |
-
"
|
| 21 |
-
"
|
| 22 |
-
"
|
| 23 |
-
"
|
| 24 |
-
"
|
| 25 |
-
"
|
| 26 |
-
"
|
| 27 |
-
"
|
| 28 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
},
|
| 30 |
{
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
-
"
|
| 34 |
-
"
|
| 35 |
-
"
|
| 36 |
-
"
|
| 37 |
-
"
|
| 38 |
-
"
|
| 39 |
-
"
|
| 40 |
-
"
|
| 41 |
-
"
|
| 42 |
-
"
|
| 43 |
-
"
|
| 44 |
-
"
|
| 45 |
-
"
|
| 46 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
"step": 10
|
| 48 |
},
|
| 49 |
{
|
| 50 |
-
"
|
| 51 |
-
"
|
| 52 |
-
"
|
| 53 |
-
"
|
| 54 |
-
"
|
| 55 |
-
"
|
| 56 |
-
"
|
| 57 |
-
"
|
| 58 |
-
"
|
| 59 |
-
"
|
| 60 |
-
"
|
| 61 |
-
"
|
| 62 |
-
"
|
| 63 |
-
"
|
| 64 |
-
"
|
| 65 |
-
"
|
| 66 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"
|
| 70 |
-
"
|
| 71 |
-
"
|
| 72 |
-
"
|
| 73 |
-
"
|
| 74 |
-
"
|
| 75 |
-
"
|
| 76 |
-
"
|
| 77 |
-
"
|
| 78 |
-
"
|
| 79 |
-
"
|
| 80 |
-
"
|
| 81 |
-
"
|
| 82 |
-
"
|
| 83 |
-
"
|
| 84 |
-
"
|
| 85 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 86 |
},
|
| 87 |
{
|
| 88 |
-
"
|
| 89 |
-
"
|
| 90 |
-
"
|
| 91 |
-
"
|
| 92 |
-
"
|
| 93 |
-
"
|
| 94 |
-
"
|
| 95 |
-
"
|
| 96 |
-
"
|
| 97 |
-
"
|
| 98 |
-
"
|
| 99 |
-
"
|
| 100 |
-
"
|
| 101 |
-
"
|
| 102 |
-
"
|
| 103 |
-
"
|
| 104 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"
|
| 108 |
-
"
|
| 109 |
-
"
|
| 110 |
-
"
|
| 111 |
-
"
|
| 112 |
-
"
|
| 113 |
-
"
|
| 114 |
-
"
|
| 115 |
-
"
|
| 116 |
-
"
|
| 117 |
-
"
|
| 118 |
-
"
|
| 119 |
-
"
|
| 120 |
-
"
|
| 121 |
-
"
|
| 122 |
-
"
|
| 123 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"
|
| 127 |
-
"
|
| 128 |
-
"
|
| 129 |
-
"
|
| 130 |
-
"
|
| 131 |
-
"
|
| 132 |
-
"
|
| 133 |
-
"
|
| 134 |
-
"
|
| 135 |
-
"
|
| 136 |
-
"
|
| 137 |
-
"
|
| 138 |
-
"
|
| 139 |
-
"
|
| 140 |
-
"
|
| 141 |
-
"
|
| 142 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"
|
| 146 |
-
"
|
| 147 |
-
"
|
| 148 |
-
"
|
| 149 |
-
"
|
| 150 |
-
"
|
| 151 |
-
"
|
| 152 |
-
"
|
| 153 |
-
"
|
| 154 |
-
"
|
| 155 |
-
"
|
| 156 |
-
"
|
| 157 |
-
"
|
| 158 |
-
"
|
| 159 |
-
"
|
| 160 |
-
"
|
| 161 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 162 |
},
|
| 163 |
{
|
| 164 |
-
"
|
| 165 |
-
"
|
| 166 |
-
"
|
| 167 |
-
"
|
| 168 |
-
"
|
| 169 |
-
"
|
| 170 |
-
"
|
| 171 |
-
"
|
| 172 |
-
"
|
| 173 |
-
"
|
| 174 |
-
"
|
| 175 |
-
"
|
| 176 |
-
"
|
| 177 |
-
"
|
| 178 |
-
"
|
| 179 |
-
"
|
| 180 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 181 |
},
|
| 182 |
{
|
| 183 |
-
"
|
| 184 |
-
"
|
| 185 |
-
"
|
| 186 |
-
"
|
| 187 |
-
"
|
| 188 |
-
"
|
| 189 |
-
"
|
| 190 |
-
"
|
| 191 |
-
"
|
| 192 |
-
"
|
| 193 |
-
"
|
| 194 |
-
"
|
| 195 |
-
"
|
| 196 |
-
"
|
| 197 |
-
"
|
| 198 |
-
"
|
| 199 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"
|
| 203 |
-
"
|
| 204 |
-
"
|
| 205 |
-
"
|
| 206 |
-
"
|
| 207 |
-
"
|
| 208 |
-
"
|
| 209 |
-
"
|
| 210 |
-
"
|
| 211 |
-
"
|
| 212 |
-
"
|
| 213 |
-
"
|
| 214 |
-
"
|
| 215 |
-
"
|
| 216 |
-
"
|
| 217 |
-
"
|
| 218 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 219 |
},
|
| 220 |
{
|
| 221 |
-
"
|
| 222 |
-
"
|
| 223 |
-
"
|
| 224 |
-
"
|
| 225 |
-
"
|
| 226 |
-
"
|
| 227 |
-
"
|
| 228 |
-
"
|
| 229 |
-
"
|
| 230 |
-
"
|
| 231 |
-
"
|
| 232 |
-
"
|
| 233 |
-
"
|
| 234 |
-
"
|
| 235 |
-
"
|
| 236 |
-
"
|
| 237 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 238 |
},
|
| 239 |
{
|
| 240 |
-
"
|
| 241 |
-
"
|
| 242 |
-
"
|
| 243 |
-
"
|
| 244 |
-
"
|
| 245 |
-
"
|
| 246 |
-
"
|
| 247 |
-
"
|
| 248 |
-
"
|
| 249 |
-
"
|
| 250 |
-
"
|
| 251 |
-
"
|
| 252 |
-
"
|
| 253 |
-
"
|
| 254 |
-
"
|
| 255 |
-
"
|
| 256 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 257 |
},
|
| 258 |
{
|
| 259 |
-
"
|
| 260 |
-
"
|
| 261 |
-
"
|
| 262 |
-
"
|
| 263 |
-
"
|
| 264 |
-
"
|
| 265 |
-
"
|
| 266 |
-
"
|
| 267 |
-
"
|
| 268 |
-
"
|
| 269 |
-
"
|
| 270 |
-
"
|
| 271 |
-
"
|
| 272 |
-
"
|
| 273 |
-
"
|
| 274 |
-
"
|
| 275 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 276 |
},
|
| 277 |
{
|
| 278 |
-
"
|
| 279 |
-
"
|
| 280 |
-
"
|
| 281 |
-
"
|
| 282 |
-
"
|
| 283 |
-
"
|
| 284 |
-
"
|
| 285 |
-
"
|
| 286 |
-
"
|
| 287 |
-
"
|
| 288 |
-
"
|
| 289 |
-
"
|
| 290 |
-
"
|
| 291 |
-
"
|
| 292 |
-
"
|
| 293 |
-
"
|
| 294 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 295 |
},
|
| 296 |
{
|
| 297 |
-
"
|
| 298 |
-
"
|
| 299 |
-
"
|
| 300 |
-
"
|
| 301 |
-
"
|
| 302 |
-
"
|
| 303 |
-
"
|
| 304 |
-
"
|
| 305 |
-
"
|
| 306 |
-
"
|
| 307 |
-
"
|
| 308 |
-
"
|
| 309 |
-
"
|
| 310 |
-
"
|
| 311 |
-
"
|
| 312 |
-
"
|
| 313 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 314 |
},
|
| 315 |
{
|
| 316 |
-
"
|
| 317 |
-
"
|
| 318 |
-
"
|
| 319 |
-
"
|
| 320 |
-
"
|
| 321 |
-
"
|
| 322 |
-
"
|
| 323 |
-
"
|
| 324 |
-
"
|
| 325 |
-
"
|
| 326 |
-
"
|
| 327 |
-
"
|
| 328 |
-
"
|
| 329 |
-
"
|
| 330 |
-
"
|
| 331 |
-
"
|
| 332 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 333 |
},
|
| 334 |
{
|
| 335 |
-
"
|
| 336 |
-
"
|
| 337 |
-
"
|
| 338 |
-
"
|
| 339 |
-
"
|
| 340 |
-
"
|
| 341 |
-
"
|
| 342 |
-
"
|
| 343 |
-
"
|
| 344 |
-
"
|
| 345 |
-
"
|
| 346 |
-
"
|
| 347 |
-
"
|
| 348 |
-
"
|
| 349 |
-
"
|
| 350 |
-
"
|
| 351 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"
|
| 355 |
-
"
|
| 356 |
-
"
|
| 357 |
-
"
|
| 358 |
-
"
|
| 359 |
-
"
|
| 360 |
-
"
|
| 361 |
-
"
|
| 362 |
-
"
|
| 363 |
-
"
|
| 364 |
-
"
|
| 365 |
-
"
|
| 366 |
-
"
|
| 367 |
-
"
|
| 368 |
-
"
|
| 369 |
-
"
|
| 370 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 371 |
},
|
| 372 |
{
|
| 373 |
-
"
|
| 374 |
-
"
|
| 375 |
-
"
|
| 376 |
-
"
|
| 377 |
-
"
|
| 378 |
-
"
|
| 379 |
-
"
|
| 380 |
-
"
|
| 381 |
-
"
|
| 382 |
-
"
|
| 383 |
-
"
|
| 384 |
-
"
|
| 385 |
-
"
|
| 386 |
-
"
|
| 387 |
-
"
|
| 388 |
-
"
|
| 389 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 390 |
},
|
| 391 |
{
|
| 392 |
-
"epoch":
|
| 393 |
-
"step":
|
| 394 |
"total_flos": 0.0,
|
| 395 |
-
"train_loss": 0.
|
| 396 |
-
"train_runtime":
|
| 397 |
-
"train_samples_per_second":
|
| 398 |
-
"train_steps_per_second": 0.
|
| 399 |
}
|
| 400 |
],
|
| 401 |
-
"logging_steps":
|
| 402 |
-
"max_steps":
|
| 403 |
-
"num_input_tokens_seen":
|
| 404 |
-
"num_train_epochs":
|
| 405 |
-
"save_steps":
|
| 406 |
"stateful_callbacks": {
|
| 407 |
"TrainerControl": {
|
| 408 |
"args": {
|
|
@@ -416,7 +1012,7 @@
|
|
| 416 |
}
|
| 417 |
},
|
| 418 |
"total_flos": 0.0,
|
| 419 |
-
"train_batch_size":
|
| 420 |
"trial_name": null,
|
| 421 |
"trial_params": null
|
| 422 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 16.666666666666668,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 50,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.0,
|
| 19 |
+
"completions/max_length": 5.5,
|
| 20 |
+
"completions/max_terminated_length": 5.5,
|
| 21 |
+
"completions/mean_length": 4.4375,
|
| 22 |
+
"completions/mean_terminated_length": 4.4375,
|
| 23 |
+
"completions/min_length": 4.0,
|
| 24 |
+
"completions/min_terminated_length": 4.0,
|
| 25 |
+
"epoch": 0.6666666666666666,
|
| 26 |
+
"grad_norm": 1.122226422012318e-06,
|
| 27 |
+
"kl": -1.4901161415892261e-09,
|
| 28 |
+
"learning_rate": 2.5e-07,
|
| 29 |
+
"loss": -0.0,
|
| 30 |
+
"num_tokens": 1607.0,
|
| 31 |
+
"reward": 1.2525351345539093,
|
| 32 |
+
"reward_std": 0.0,
|
| 33 |
+
"rewards/concensus_correctness_reward_func/mean": 1.20250004529953,
|
| 34 |
+
"rewards/concensus_correctness_reward_func/std": 0.9595301449298859,
|
| 35 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 36 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 37 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 38 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 39 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 40 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 41 |
+
"rewards/question_recreation_reward_func/mean": 0.050035042222589254,
|
| 42 |
+
"rewards/question_recreation_reward_func/std": 0.012183232656752807,
|
| 43 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 44 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 45 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 46 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 47 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 48 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 49 |
+
"step": 2
|
| 50 |
},
|
| 51 |
{
|
| 52 |
+
"clip_ratio/high_max": 0.0,
|
| 53 |
+
"clip_ratio/high_mean": 0.0,
|
| 54 |
+
"clip_ratio/low_mean": 0.0,
|
| 55 |
+
"clip_ratio/low_min": 0.0,
|
| 56 |
+
"clip_ratio/region_mean": 0.0,
|
| 57 |
+
"completions/clipped_ratio": 0.0,
|
| 58 |
+
"completions/max_length": 4.5,
|
| 59 |
+
"completions/max_terminated_length": 4.5,
|
| 60 |
+
"completions/mean_length": 4.125,
|
| 61 |
+
"completions/mean_terminated_length": 4.125,
|
| 62 |
+
"completions/min_length": 4.0,
|
| 63 |
+
"completions/min_terminated_length": 4.0,
|
| 64 |
+
"epoch": 1.3333333333333333,
|
| 65 |
+
"grad_norm": 5.171295561012812e-05,
|
| 66 |
+
"kl": 1.7024576948188042e-07,
|
| 67 |
+
"learning_rate": 4.994647308096508e-07,
|
| 68 |
+
"loss": 0.0,
|
| 69 |
+
"num_tokens": 3209.0,
|
| 70 |
+
"reward": 1.275140255689621,
|
| 71 |
+
"reward_std": 0.0,
|
| 72 |
+
"rewards/concensus_correctness_reward_func/mean": 1.1945000141859055,
|
| 73 |
+
"rewards/concensus_correctness_reward_func/std": 0.1435021311044693,
|
| 74 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 75 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 76 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 77 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 78 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 79 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 80 |
+
"rewards/question_recreation_reward_func/mean": 0.0806402824819088,
|
| 81 |
+
"rewards/question_recreation_reward_func/std": 0.005166131537407637,
|
| 82 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 83 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 84 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 85 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 86 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 87 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 88 |
+
"step": 4
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"clip_ratio/high_max": 0.0,
|
| 92 |
+
"clip_ratio/high_mean": 0.0,
|
| 93 |
+
"clip_ratio/low_mean": 0.0,
|
| 94 |
+
"clip_ratio/low_min": 0.0,
|
| 95 |
+
"clip_ratio/region_mean": 0.0,
|
| 96 |
+
"completions/clipped_ratio": 0.0,
|
| 97 |
+
"completions/max_length": 5.0,
|
| 98 |
+
"completions/max_terminated_length": 5.0,
|
| 99 |
+
"completions/mean_length": 4.3125,
|
| 100 |
+
"completions/mean_terminated_length": 4.3125,
|
| 101 |
+
"completions/min_length": 4.0,
|
| 102 |
+
"completions/min_terminated_length": 4.0,
|
| 103 |
+
"epoch": 2.0,
|
| 104 |
+
"grad_norm": 3.3832443513404087e-09,
|
| 105 |
+
"kl": 0.00015763420668690742,
|
| 106 |
+
"learning_rate": 4.951963201008075e-07,
|
| 107 |
+
"loss": 0.0,
|
| 108 |
+
"num_tokens": 4814.0,
|
| 109 |
+
"reward": 0.9683559592813253,
|
| 110 |
+
"reward_std": 0.0,
|
| 111 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9620000123977661,
|
| 112 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 113 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 114 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 115 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 116 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 117 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 118 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 119 |
+
"rewards/question_recreation_reward_func/mean": 0.006355952471494675,
|
| 120 |
+
"rewards/question_recreation_reward_func/std": 0.0015629313420504332,
|
| 121 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 122 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 123 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 124 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 125 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 126 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 127 |
+
"step": 6
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"clip_ratio/high_max": 0.0,
|
| 131 |
+
"clip_ratio/high_mean": 0.0,
|
| 132 |
+
"clip_ratio/low_mean": 0.0,
|
| 133 |
+
"clip_ratio/low_min": 0.0,
|
| 134 |
+
"clip_ratio/region_mean": 0.0,
|
| 135 |
+
"completions/clipped_ratio": 0.0,
|
| 136 |
+
"completions/max_length": 11.0,
|
| 137 |
+
"completions/max_terminated_length": 11.0,
|
| 138 |
+
"completions/mean_length": 5.0,
|
| 139 |
+
"completions/mean_terminated_length": 5.0,
|
| 140 |
+
"completions/min_length": 4.0,
|
| 141 |
+
"completions/min_terminated_length": 4.0,
|
| 142 |
+
"epoch": 2.6666666666666665,
|
| 143 |
+
"grad_norm": 1.9365202774679346e-09,
|
| 144 |
+
"kl": 0.014343254268169403,
|
| 145 |
+
"learning_rate": 4.867325323737765e-07,
|
| 146 |
+
"loss": -0.0441,
|
| 147 |
+
"num_tokens": 6430.0,
|
| 148 |
+
"reward": 2.1415916681289673,
|
| 149 |
+
"reward_std": 0.0054927063174545765,
|
| 150 |
+
"rewards/concensus_correctness_reward_func/mean": 1.0365000367164612,
|
| 151 |
+
"rewards/concensus_correctness_reward_func/std": 0.4453195035457611,
|
| 152 |
+
"rewards/consensus_reward_func/mean": 1.0,
|
| 153 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 154 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 155 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 156 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 157 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 158 |
+
"rewards/question_recreation_reward_func/mean": 0.10509166494011879,
|
| 159 |
+
"rewards/question_recreation_reward_func/std": 0.013517891056835651,
|
| 160 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 161 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 162 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 163 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 164 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 165 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 166 |
+
"step": 8
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"clip_ratio/high_max": 0.0,
|
| 170 |
+
"clip_ratio/high_mean": 0.0,
|
| 171 |
+
"clip_ratio/low_mean": 0.0,
|
| 172 |
+
"clip_ratio/low_min": 0.0,
|
| 173 |
+
"clip_ratio/region_mean": 0.0,
|
| 174 |
+
"completions/clipped_ratio": 0.0,
|
| 175 |
+
"completions/max_length": 8.0,
|
| 176 |
+
"completions/max_terminated_length": 8.0,
|
| 177 |
+
"completions/mean_length": 5.875,
|
| 178 |
+
"completions/mean_terminated_length": 5.875,
|
| 179 |
+
"completions/min_length": 4.0,
|
| 180 |
+
"completions/min_terminated_length": 4.0,
|
| 181 |
+
"epoch": 3.3333333333333335,
|
| 182 |
+
"grad_norm": 5.078624631948969e-09,
|
| 183 |
+
"kl": 0.15408404730260372,
|
| 184 |
+
"learning_rate": 4.7421818538317203e-07,
|
| 185 |
+
"loss": 0.0039,
|
| 186 |
+
"num_tokens": 8059.0,
|
| 187 |
+
"reward": 1.0263595327269286,
|
| 188 |
+
"reward_std": 0.000949082663282752,
|
| 189 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9620000123977661,
|
| 190 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 191 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 192 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 193 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 194 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 195 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 196 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 197 |
+
"rewards/question_recreation_reward_func/mean": 0.06435950938612223,
|
| 198 |
+
"rewards/question_recreation_reward_func/std": 0.0011813289020210505,
|
| 199 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 200 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 201 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 202 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 203 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 204 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 205 |
"step": 10
|
| 206 |
},
|
| 207 |
{
|
| 208 |
+
"clip_ratio/high_max": 0.0,
|
| 209 |
+
"clip_ratio/high_mean": 0.0,
|
| 210 |
+
"clip_ratio/low_mean": 0.0,
|
| 211 |
+
"clip_ratio/low_min": 0.0,
|
| 212 |
+
"clip_ratio/region_mean": 0.0,
|
| 213 |
+
"completions/clipped_ratio": 0.0,
|
| 214 |
+
"completions/max_length": 21.5,
|
| 215 |
+
"completions/max_terminated_length": 21.5,
|
| 216 |
+
"completions/mean_length": 8.5625,
|
| 217 |
+
"completions/mean_terminated_length": 8.5625,
|
| 218 |
+
"completions/min_length": 4.0,
|
| 219 |
+
"completions/min_terminated_length": 4.0,
|
| 220 |
+
"epoch": 4.0,
|
| 221 |
+
"grad_norm": 0.0029723152983933687,
|
| 222 |
+
"kl": 0.23341824859380722,
|
| 223 |
+
"learning_rate": 4.578674030756363e-07,
|
| 224 |
+
"loss": -0.0579,
|
| 225 |
+
"num_tokens": 9718.0,
|
| 226 |
+
"reward": 0.8252299129962921,
|
| 227 |
+
"reward_std": 0.006629505660384893,
|
| 228 |
+
"rewards/concensus_correctness_reward_func/mean": 0.7135000079870224,
|
| 229 |
+
"rewards/concensus_correctness_reward_func/std": 0.657712772488594,
|
| 230 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 231 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 232 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 233 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 234 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 235 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 236 |
+
"rewards/question_recreation_reward_func/mean": 0.1117299422621727,
|
| 237 |
+
"rewards/question_recreation_reward_func/std": 0.049328483641147614,
|
| 238 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 239 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 240 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 241 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 242 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 243 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 244 |
+
"step": 12
|
| 245 |
},
|
| 246 |
{
|
| 247 |
+
"clip_ratio/high_max": 0.0,
|
| 248 |
+
"clip_ratio/high_mean": 0.0,
|
| 249 |
+
"clip_ratio/low_mean": 0.0,
|
| 250 |
+
"clip_ratio/low_min": 0.0,
|
| 251 |
+
"clip_ratio/region_mean": 0.0,
|
| 252 |
+
"completions/clipped_ratio": 0.0,
|
| 253 |
+
"completions/max_length": 11.5,
|
| 254 |
+
"completions/max_terminated_length": 11.5,
|
| 255 |
+
"completions/mean_length": 5.875,
|
| 256 |
+
"completions/mean_terminated_length": 5.875,
|
| 257 |
+
"completions/min_length": 4.0,
|
| 258 |
+
"completions/min_terminated_length": 4.0,
|
| 259 |
+
"epoch": 4.666666666666667,
|
| 260 |
+
"grad_norm": 25.810482025146484,
|
| 261 |
+
"kl": 0.13111786916851997,
|
| 262 |
+
"learning_rate": 4.379599518697443e-07,
|
| 263 |
+
"loss": 0.0001,
|
| 264 |
+
"num_tokens": 11348.0,
|
| 265 |
+
"reward": 1.7566919326782227,
|
| 266 |
+
"reward_std": 0.004746258724480867,
|
| 267 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9562499672174454,
|
| 268 |
+
"rewards/concensus_correctness_reward_func/std": 0.5902103334665298,
|
| 269 |
+
"rewards/consensus_reward_func/mean": 0.75,
|
| 270 |
+
"rewards/consensus_reward_func/std": 0.4629100561141968,
|
| 271 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 272 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 273 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 274 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 275 |
+
"rewards/question_recreation_reward_func/mean": 0.05044195894151926,
|
| 276 |
+
"rewards/question_recreation_reward_func/std": 0.01659557862149086,
|
| 277 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 278 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 279 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 280 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 281 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 282 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 283 |
+
"step": 14
|
| 284 |
},
|
| 285 |
{
|
| 286 |
+
"clip_ratio/high_max": 0.0,
|
| 287 |
+
"clip_ratio/high_mean": 0.0,
|
| 288 |
+
"clip_ratio/low_mean": 0.0,
|
| 289 |
+
"clip_ratio/low_min": 0.0,
|
| 290 |
+
"clip_ratio/region_mean": 0.0,
|
| 291 |
+
"completions/clipped_ratio": 0.0,
|
| 292 |
+
"completions/max_length": 7.5,
|
| 293 |
+
"completions/max_terminated_length": 7.5,
|
| 294 |
+
"completions/mean_length": 4.875,
|
| 295 |
+
"completions/mean_terminated_length": 4.875,
|
| 296 |
+
"completions/min_length": 4.0,
|
| 297 |
+
"completions/min_terminated_length": 4.0,
|
| 298 |
+
"epoch": 5.333333333333333,
|
| 299 |
+
"grad_norm": 12.974661827087402,
|
| 300 |
+
"kl": 0.16539602912962437,
|
| 301 |
+
"learning_rate": 4.1483645377501717e-07,
|
| 302 |
+
"loss": 0.0002,
|
| 303 |
+
"num_tokens": 12976.0,
|
| 304 |
+
"reward": 1.4967188835144043,
|
| 305 |
+
"reward_std": 0.00440641213208437,
|
| 306 |
+
"rewards/concensus_correctness_reward_func/mean": 1.443000078201294,
|
| 307 |
+
"rewards/concensus_correctness_reward_func/std": 0.8906390070915222,
|
| 308 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 309 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 310 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 311 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 312 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 313 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 314 |
+
"rewards/question_recreation_reward_func/mean": 0.05371885746717453,
|
| 315 |
+
"rewards/question_recreation_reward_func/std": 0.024849189911037683,
|
| 316 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 317 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 318 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 319 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 320 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 321 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 322 |
+
"step": 16
|
| 323 |
},
|
| 324 |
{
|
| 325 |
+
"clip_ratio/high_max": 0.0,
|
| 326 |
+
"clip_ratio/high_mean": 0.0,
|
| 327 |
+
"clip_ratio/low_mean": 0.0,
|
| 328 |
+
"clip_ratio/low_min": 0.0,
|
| 329 |
+
"clip_ratio/region_mean": 0.0,
|
| 330 |
+
"completions/clipped_ratio": 0.0,
|
| 331 |
+
"completions/max_length": 29.5,
|
| 332 |
+
"completions/max_terminated_length": 29.5,
|
| 333 |
+
"completions/mean_length": 7.625,
|
| 334 |
+
"completions/mean_terminated_length": 7.625,
|
| 335 |
+
"completions/min_length": 4.0,
|
| 336 |
+
"completions/min_terminated_length": 4.0,
|
| 337 |
+
"epoch": 6.0,
|
| 338 |
+
"grad_norm": 21.782949447631836,
|
| 339 |
+
"kl": 0.08358937688171864,
|
| 340 |
+
"learning_rate": 3.8889255825490053e-07,
|
| 341 |
+
"loss": 0.0311,
|
| 342 |
+
"num_tokens": 14657.0,
|
| 343 |
+
"reward": 1.5110957026481628,
|
| 344 |
+
"reward_std": 0.00673344565439038,
|
| 345 |
+
"rewards/concensus_correctness_reward_func/mean": 1.4415000081062317,
|
| 346 |
+
"rewards/concensus_correctness_reward_func/std": 0.8897131681442261,
|
| 347 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 348 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 349 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 350 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 351 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 352 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 353 |
+
"rewards/question_recreation_reward_func/mean": 0.06959578255191445,
|
| 354 |
+
"rewards/question_recreation_reward_func/std": 0.03374439827166498,
|
| 355 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 356 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 357 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 358 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 359 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 360 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 361 |
+
"step": 18
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"clip_ratio/high_max": 0.0,
|
| 365 |
+
"clip_ratio/high_mean": 0.0,
|
| 366 |
+
"clip_ratio/low_mean": 0.0,
|
| 367 |
+
"clip_ratio/low_min": 0.0,
|
| 368 |
+
"clip_ratio/region_mean": 0.0,
|
| 369 |
+
"completions/clipped_ratio": 0.0,
|
| 370 |
+
"completions/max_length": 7.5,
|
| 371 |
+
"completions/max_terminated_length": 7.5,
|
| 372 |
+
"completions/mean_length": 4.875,
|
| 373 |
+
"completions/mean_terminated_length": 4.875,
|
| 374 |
+
"completions/min_length": 4.0,
|
| 375 |
+
"completions/min_terminated_length": 4.0,
|
| 376 |
+
"epoch": 6.666666666666667,
|
| 377 |
+
"grad_norm": 3.4635640133728884e-08,
|
| 378 |
+
"kl": 0.08152611553668976,
|
| 379 |
+
"learning_rate": 3.605721725547503e-07,
|
| 380 |
+
"loss": 0.0001,
|
| 381 |
+
"num_tokens": 16271.0,
|
| 382 |
+
"reward": 1.7468912601470947,
|
| 383 |
+
"reward_std": 0.0,
|
| 384 |
+
"rewards/concensus_correctness_reward_func/mean": 1.6819999814033508,
|
| 385 |
+
"rewards/concensus_correctness_reward_func/std": 0.44439366459846497,
|
| 386 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 387 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 388 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 389 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 390 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 391 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 392 |
+
"rewards/question_recreation_reward_func/mean": 0.06489124614745378,
|
| 393 |
+
"rewards/question_recreation_reward_func/std": 0.00020469618903007358,
|
| 394 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 395 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 396 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 397 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 398 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 399 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 400 |
+
"step": 20
|
| 401 |
},
|
| 402 |
{
|
| 403 |
+
"clip_ratio/high_max": 0.0,
|
| 404 |
+
"clip_ratio/high_mean": 0.0,
|
| 405 |
+
"clip_ratio/low_mean": 0.0,
|
| 406 |
+
"clip_ratio/low_min": 0.0,
|
| 407 |
+
"clip_ratio/region_mean": 0.0,
|
| 408 |
+
"completions/clipped_ratio": 0.0,
|
| 409 |
+
"completions/max_length": 16.0,
|
| 410 |
+
"completions/max_terminated_length": 16.0,
|
| 411 |
+
"completions/mean_length": 10.0,
|
| 412 |
+
"completions/mean_terminated_length": 10.0,
|
| 413 |
+
"completions/min_length": 7.5,
|
| 414 |
+
"completions/min_terminated_length": 7.5,
|
| 415 |
+
"epoch": 7.333333333333333,
|
| 416 |
+
"grad_norm": 4.029274336403432e-08,
|
| 417 |
+
"kl": 0.1582445427775383,
|
| 418 |
+
"learning_rate": 3.3035986632579036e-07,
|
| 419 |
+
"loss": -0.0291,
|
| 420 |
+
"num_tokens": 17919.0,
|
| 421 |
+
"reward": 1.0044002416543663,
|
| 422 |
+
"reward_std": 0.0018568980740383267,
|
| 423 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9620000123977661,
|
| 424 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 425 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 426 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 427 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 428 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 429 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 430 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 431 |
+
"rewards/question_recreation_reward_func/mean": 0.04240023344755173,
|
| 432 |
+
"rewards/question_recreation_reward_func/std": 0.003086475422605872,
|
| 433 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 434 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 435 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 436 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 437 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 438 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 439 |
+
"step": 22
|
| 440 |
},
|
| 441 |
{
|
| 442 |
+
"clip_ratio/high_max": 0.0,
|
| 443 |
+
"clip_ratio/high_mean": 0.0,
|
| 444 |
+
"clip_ratio/low_mean": 0.0,
|
| 445 |
+
"clip_ratio/low_min": 0.0,
|
| 446 |
+
"clip_ratio/region_mean": 0.0,
|
| 447 |
+
"completions/clipped_ratio": 0.0625,
|
| 448 |
+
"completions/max_length": 62.0,
|
| 449 |
+
"completions/max_terminated_length": 36.5,
|
| 450 |
+
"completions/mean_length": 18.0625,
|
| 451 |
+
"completions/mean_terminated_length": 12.678571224212646,
|
| 452 |
+
"completions/min_length": 7.5,
|
| 453 |
+
"completions/min_terminated_length": 7.5,
|
| 454 |
+
"epoch": 8.0,
|
| 455 |
+
"grad_norm": 28.683290481567383,
|
| 456 |
+
"kl": 0.24511529877781868,
|
| 457 |
+
"learning_rate": 2.987725805040321e-07,
|
| 458 |
+
"loss": -0.0032,
|
| 459 |
+
"num_tokens": 19698.0,
|
| 460 |
+
"reward": 1.0137799084186554,
|
| 461 |
+
"reward_std": 0.016448209527879953,
|
| 462 |
+
"rewards/concensus_correctness_reward_func/mean": 0.8765000402927399,
|
| 463 |
+
"rewards/concensus_correctness_reward_func/std": 0.6110214740037918,
|
| 464 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 465 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 466 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 467 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 468 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 469 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 470 |
+
"rewards/question_recreation_reward_func/mean": 0.13727985322475433,
|
| 471 |
+
"rewards/question_recreation_reward_func/std": 0.06551616452634335,
|
| 472 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 473 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 474 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 475 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 476 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 477 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 478 |
+
"step": 24
|
| 479 |
},
|
| 480 |
{
|
| 481 |
+
"clip_ratio/high_max": 0.0,
|
| 482 |
+
"clip_ratio/high_mean": 0.0,
|
| 483 |
+
"clip_ratio/low_mean": 0.0,
|
| 484 |
+
"clip_ratio/low_min": 0.0,
|
| 485 |
+
"clip_ratio/region_mean": 0.0,
|
| 486 |
+
"completions/clipped_ratio": 0.0625,
|
| 487 |
+
"completions/max_length": 74.0,
|
| 488 |
+
"completions/max_terminated_length": 55.5,
|
| 489 |
+
"completions/mean_length": 19.125,
|
| 490 |
+
"completions/mean_terminated_length": 13.982142925262451,
|
| 491 |
+
"completions/min_length": 4.0,
|
| 492 |
+
"completions/min_terminated_length": 4.0,
|
| 493 |
+
"epoch": 8.666666666666666,
|
| 494 |
+
"grad_norm": 9.308053016662598,
|
| 495 |
+
"kl": 0.2221585288643837,
|
| 496 |
+
"learning_rate": 2.663507823075358e-07,
|
| 497 |
+
"loss": 0.0293,
|
| 498 |
+
"num_tokens": 21540.0,
|
| 499 |
+
"reward": 0.7325176950544119,
|
| 500 |
+
"reward_std": 0.00014589350030291826,
|
| 501 |
+
"rewards/concensus_correctness_reward_func/mean": 0.7199999690055847,
|
| 502 |
+
"rewards/concensus_correctness_reward_func/std": 0.44439366459846497,
|
| 503 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 504 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 505 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 506 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 507 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 508 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 509 |
+
"rewards/question_recreation_reward_func/mean": 0.012517708819359541,
|
| 510 |
+
"rewards/question_recreation_reward_func/std": 0.006235835782717913,
|
| 511 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 512 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 513 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 514 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 515 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 516 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 517 |
+
"step": 26
|
| 518 |
},
|
| 519 |
{
|
| 520 |
+
"clip_ratio/high_max": 0.0,
|
| 521 |
+
"clip_ratio/high_mean": 0.0,
|
| 522 |
+
"clip_ratio/low_mean": 0.0,
|
| 523 |
+
"clip_ratio/low_min": 0.0,
|
| 524 |
+
"clip_ratio/region_mean": 0.0,
|
| 525 |
+
"completions/clipped_ratio": 0.0625,
|
| 526 |
+
"completions/max_length": 50.0,
|
| 527 |
+
"completions/max_terminated_length": 7.0,
|
| 528 |
+
"completions/mean_length": 10.125,
|
| 529 |
+
"completions/mean_terminated_length": 4.428571462631226,
|
| 530 |
+
"completions/min_length": 4.0,
|
| 531 |
+
"completions/min_terminated_length": 4.0,
|
| 532 |
+
"epoch": 9.333333333333334,
|
| 533 |
+
"grad_norm": 14.845952987670898,
|
| 534 |
+
"kl": 0.054857412353158,
|
| 535 |
+
"learning_rate": 2.336492176924642e-07,
|
| 536 |
+
"loss": -0.0711,
|
| 537 |
+
"num_tokens": 23238.0,
|
| 538 |
+
"reward": 0.969230305403471,
|
| 539 |
+
"reward_std": 0.0014799739001318812,
|
| 540 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9620000123977661,
|
| 541 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 542 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 543 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 544 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 545 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 546 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 547 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 548 |
+
"rewards/question_recreation_reward_func/mean": 0.0072302743792533875,
|
| 549 |
+
"rewards/question_recreation_reward_func/std": 0.003834317671135068,
|
| 550 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 551 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 552 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 553 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 554 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 555 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 556 |
+
"step": 28
|
| 557 |
},
|
| 558 |
{
|
| 559 |
+
"clip_ratio/high_max": 0.0,
|
| 560 |
+
"clip_ratio/high_mean": 0.0,
|
| 561 |
+
"clip_ratio/low_mean": 0.0,
|
| 562 |
+
"clip_ratio/low_min": 0.0,
|
| 563 |
+
"clip_ratio/region_mean": 0.0,
|
| 564 |
+
"completions/clipped_ratio": 0.1875,
|
| 565 |
+
"completions/max_length": 96.0,
|
| 566 |
+
"completions/max_terminated_length": 52.5,
|
| 567 |
+
"completions/mean_length": 31.0,
|
| 568 |
+
"completions/mean_terminated_length": 16.547618865966797,
|
| 569 |
+
"completions/min_length": 4.0,
|
| 570 |
+
"completions/min_terminated_length": 4.0,
|
| 571 |
+
"epoch": 10.0,
|
| 572 |
+
"grad_norm": 8.113728523254395,
|
| 573 |
+
"kl": 0.1079877857118845,
|
| 574 |
+
"learning_rate": 2.0122741949596793e-07,
|
| 575 |
+
"loss": 0.0528,
|
| 576 |
+
"num_tokens": 25119.0,
|
| 577 |
+
"reward": 0.7863147500902414,
|
| 578 |
+
"reward_std": 0.007107729441486299,
|
| 579 |
+
"rewards/concensus_correctness_reward_func/mean": 0.721500039100647,
|
| 580 |
+
"rewards/concensus_correctness_reward_func/std": 0.4453195035457611,
|
| 581 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 582 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 583 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 584 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 585 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 586 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 587 |
+
"rewards/question_recreation_reward_func/mean": 0.06481470353901386,
|
| 588 |
+
"rewards/question_recreation_reward_func/std": 0.043396634981036186,
|
| 589 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 590 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 591 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 592 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 593 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 594 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 595 |
+
"step": 30
|
| 596 |
},
|
| 597 |
{
|
| 598 |
+
"clip_ratio/high_max": 0.0,
|
| 599 |
+
"clip_ratio/high_mean": 0.0,
|
| 600 |
+
"clip_ratio/low_mean": 0.0,
|
| 601 |
+
"clip_ratio/low_min": 0.0,
|
| 602 |
+
"clip_ratio/region_mean": 0.0,
|
| 603 |
+
"completions/clipped_ratio": 0.0,
|
| 604 |
+
"completions/max_length": 36.5,
|
| 605 |
+
"completions/max_terminated_length": 36.5,
|
| 606 |
+
"completions/mean_length": 14.6875,
|
| 607 |
+
"completions/mean_terminated_length": 14.6875,
|
| 608 |
+
"completions/min_length": 4.0,
|
| 609 |
+
"completions/min_terminated_length": 4.0,
|
| 610 |
+
"epoch": 10.666666666666666,
|
| 611 |
+
"grad_norm": 20.759033203125,
|
| 612 |
+
"kl": 0.2695002183318138,
|
| 613 |
+
"learning_rate": 1.6964013367420965e-07,
|
| 614 |
+
"loss": -0.0615,
|
| 615 |
+
"num_tokens": 26890.0,
|
| 616 |
+
"reward": 0.9509141445159912,
|
| 617 |
+
"reward_std": 0.0098513662815094,
|
| 618 |
+
"rewards/concensus_correctness_reward_func/mean": 0.8749999701976776,
|
| 619 |
+
"rewards/concensus_correctness_reward_func/std": 0.6100956350564957,
|
| 620 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 621 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 622 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 623 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 624 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 625 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 626 |
+
"rewards/question_recreation_reward_func/mean": 0.07591419294476509,
|
| 627 |
+
"rewards/question_recreation_reward_func/std": 0.047521001601126045,
|
| 628 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 629 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 630 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 631 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 632 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 633 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 634 |
+
"step": 32
|
| 635 |
},
|
| 636 |
{
|
| 637 |
+
"clip_ratio/high_max": 0.0,
|
| 638 |
+
"clip_ratio/high_mean": 0.0,
|
| 639 |
+
"clip_ratio/low_mean": 0.0,
|
| 640 |
+
"clip_ratio/low_min": 0.0,
|
| 641 |
+
"clip_ratio/region_mean": 0.0,
|
| 642 |
+
"completions/clipped_ratio": 0.0625,
|
| 643 |
+
"completions/max_length": 50.0,
|
| 644 |
+
"completions/max_terminated_length": 14.0,
|
| 645 |
+
"completions/mean_length": 11.0,
|
| 646 |
+
"completions/mean_terminated_length": 5.428571462631226,
|
| 647 |
+
"completions/min_length": 4.0,
|
| 648 |
+
"completions/min_terminated_length": 4.0,
|
| 649 |
+
"epoch": 11.333333333333334,
|
| 650 |
+
"grad_norm": 10.727737426757812,
|
| 651 |
+
"kl": 0.05535062029957771,
|
| 652 |
+
"learning_rate": 1.3942782744524973e-07,
|
| 653 |
+
"loss": 0.053,
|
| 654 |
+
"num_tokens": 28602.0,
|
| 655 |
+
"reward": 1.749426543712616,
|
| 656 |
+
"reward_std": 0.008744525723159313,
|
| 657 |
+
"rewards/concensus_correctness_reward_func/mean": 1.6775000095367432,
|
| 658 |
+
"rewards/concensus_correctness_reward_func/std": 0.4453195035457611,
|
| 659 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 660 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 661 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 662 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 663 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 664 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 665 |
+
"rewards/question_recreation_reward_func/mean": 0.07192660123109818,
|
| 666 |
+
"rewards/question_recreation_reward_func/std": 0.028842128813266754,
|
| 667 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 668 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 669 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 670 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 671 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 672 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 673 |
+
"step": 34
|
| 674 |
},
|
| 675 |
{
|
| 676 |
+
"clip_ratio/high_max": 0.0,
|
| 677 |
+
"clip_ratio/high_mean": 0.0,
|
| 678 |
+
"clip_ratio/low_mean": 0.0,
|
| 679 |
+
"clip_ratio/low_min": 0.0,
|
| 680 |
+
"clip_ratio/region_mean": 0.0,
|
| 681 |
+
"completions/clipped_ratio": 0.0,
|
| 682 |
+
"completions/max_length": 39.0,
|
| 683 |
+
"completions/max_terminated_length": 39.0,
|
| 684 |
+
"completions/mean_length": 14.1875,
|
| 685 |
+
"completions/mean_terminated_length": 14.1875,
|
| 686 |
+
"completions/min_length": 4.0,
|
| 687 |
+
"completions/min_terminated_length": 4.0,
|
| 688 |
+
"epoch": 12.0,
|
| 689 |
+
"grad_norm": 4.972465603714227e-07,
|
| 690 |
+
"kl": 0.09537366032600403,
|
| 691 |
+
"learning_rate": 1.1110744174509951e-07,
|
| 692 |
+
"loss": -0.0332,
|
| 693 |
+
"num_tokens": 30365.0,
|
| 694 |
+
"reward": 0.9711364028044045,
|
| 695 |
+
"reward_std": 0.000936258933506906,
|
| 696 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9599999785423279,
|
| 697 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 698 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 699 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 700 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 701 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 702 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 703 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 704 |
+
"rewards/question_recreation_reward_func/mean": 0.01113644428551197,
|
| 705 |
+
"rewards/question_recreation_reward_func/std": 0.004477651324123144,
|
| 706 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 707 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 708 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 709 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 710 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 711 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 712 |
+
"step": 36
|
| 713 |
},
|
| 714 |
{
|
| 715 |
+
"clip_ratio/high_max": 0.0,
|
| 716 |
+
"clip_ratio/high_mean": 0.0,
|
| 717 |
+
"clip_ratio/low_mean": 0.0,
|
| 718 |
+
"clip_ratio/low_min": 0.0,
|
| 719 |
+
"clip_ratio/region_mean": 0.0,
|
| 720 |
+
"completions/clipped_ratio": 0.0,
|
| 721 |
+
"completions/max_length": 26.0,
|
| 722 |
+
"completions/max_terminated_length": 26.0,
|
| 723 |
+
"completions/mean_length": 8.8125,
|
| 724 |
+
"completions/mean_terminated_length": 8.8125,
|
| 725 |
+
"completions/min_length": 4.0,
|
| 726 |
+
"completions/min_terminated_length": 4.0,
|
| 727 |
+
"epoch": 12.666666666666666,
|
| 728 |
+
"grad_norm": 2.598005144349713e-09,
|
| 729 |
+
"kl": 0.07045537792146206,
|
| 730 |
+
"learning_rate": 8.516354622498278e-08,
|
| 731 |
+
"loss": 0.0101,
|
| 732 |
+
"num_tokens": 32042.0,
|
| 733 |
+
"reward": 1.0144791088532656,
|
| 734 |
+
"reward_std": 8.961161074694246e-05,
|
| 735 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9620000123977661,
|
| 736 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 737 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 738 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 739 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 740 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 741 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 742 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 743 |
+
"rewards/question_recreation_reward_func/mean": 0.05247914115898311,
|
| 744 |
+
"rewards/question_recreation_reward_func/std": 0.0014408096903935075,
|
| 745 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 746 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 747 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 748 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 749 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 750 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 751 |
+
"step": 38
|
| 752 |
},
|
| 753 |
{
|
| 754 |
+
"clip_ratio/high_max": 0.0,
|
| 755 |
+
"clip_ratio/high_mean": 0.0,
|
| 756 |
+
"clip_ratio/low_mean": 0.0,
|
| 757 |
+
"clip_ratio/low_min": 0.0,
|
| 758 |
+
"clip_ratio/region_mean": 0.0,
|
| 759 |
+
"completions/clipped_ratio": 0.125,
|
| 760 |
+
"completions/max_length": 84.5,
|
| 761 |
+
"completions/max_terminated_length": 47.0,
|
| 762 |
+
"completions/mean_length": 24.9375,
|
| 763 |
+
"completions/mean_terminated_length": 14.145833492279053,
|
| 764 |
+
"completions/min_length": 4.0,
|
| 765 |
+
"completions/min_terminated_length": 4.0,
|
| 766 |
+
"epoch": 13.333333333333334,
|
| 767 |
+
"grad_norm": 11.580063819885254,
|
| 768 |
+
"kl": 0.26880926452577114,
|
| 769 |
+
"learning_rate": 6.204004813025567e-08,
|
| 770 |
+
"loss": -0.0378,
|
| 771 |
+
"num_tokens": 33920.0,
|
| 772 |
+
"reward": 0.016987387090921402,
|
| 773 |
+
"reward_std": 0.001602659816853702,
|
| 774 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 775 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 776 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 777 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 778 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 779 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 780 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 781 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 782 |
+
"rewards/question_recreation_reward_func/mean": 0.016987387090921402,
|
| 783 |
+
"rewards/question_recreation_reward_func/std": 0.012470217421650887,
|
| 784 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 785 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 786 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 787 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 788 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 789 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 790 |
+
"step": 40
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"clip_ratio/high_max": 0.0,
|
| 794 |
+
"clip_ratio/high_mean": 0.0,
|
| 795 |
+
"clip_ratio/low_mean": 0.0,
|
| 796 |
+
"clip_ratio/low_min": 0.0,
|
| 797 |
+
"clip_ratio/region_mean": 0.0,
|
| 798 |
+
"completions/clipped_ratio": 0.0,
|
| 799 |
+
"completions/max_length": 16.0,
|
| 800 |
+
"completions/max_terminated_length": 16.0,
|
| 801 |
+
"completions/mean_length": 9.875,
|
| 802 |
+
"completions/mean_terminated_length": 9.875,
|
| 803 |
+
"completions/min_length": 4.0,
|
| 804 |
+
"completions/min_terminated_length": 4.0,
|
| 805 |
+
"epoch": 14.0,
|
| 806 |
+
"grad_norm": 13.555513381958008,
|
| 807 |
+
"kl": 0.13996858708560467,
|
| 808 |
+
"learning_rate": 4.213259692436366e-08,
|
| 809 |
+
"loss": 0.025,
|
| 810 |
+
"num_tokens": 35711.0,
|
| 811 |
+
"reward": 1.238945186138153,
|
| 812 |
+
"reward_std": 0.019770290702581406,
|
| 813 |
+
"rewards/concensus_correctness_reward_func/mean": 1.117000013589859,
|
| 814 |
+
"rewards/concensus_correctness_reward_func/std": 0.1657019704580307,
|
| 815 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 816 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 817 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 818 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 819 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 820 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 821 |
+
"rewards/question_recreation_reward_func/mean": 0.121945109218359,
|
| 822 |
+
"rewards/question_recreation_reward_func/std": 0.049046434462070465,
|
| 823 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 824 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 825 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 826 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 827 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 828 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 829 |
+
"step": 42
|
| 830 |
},
|
| 831 |
{
|
| 832 |
+
"clip_ratio/high_max": 0.0,
|
| 833 |
+
"clip_ratio/high_mean": 0.0,
|
| 834 |
+
"clip_ratio/low_mean": 0.0,
|
| 835 |
+
"clip_ratio/low_min": 0.0,
|
| 836 |
+
"clip_ratio/region_mean": 0.0,
|
| 837 |
+
"completions/clipped_ratio": 0.0625,
|
| 838 |
+
"completions/max_length": 50.0,
|
| 839 |
+
"completions/max_terminated_length": 33.0,
|
| 840 |
+
"completions/mean_length": 13.375,
|
| 841 |
+
"completions/mean_terminated_length": 8.142857074737549,
|
| 842 |
+
"completions/min_length": 4.0,
|
| 843 |
+
"completions/min_terminated_length": 4.0,
|
| 844 |
+
"epoch": 14.666666666666666,
|
| 845 |
+
"grad_norm": 6.8140435516284015e-09,
|
| 846 |
+
"kl": 0.0543803870677948,
|
| 847 |
+
"learning_rate": 2.5781814616827933e-08,
|
| 848 |
+
"loss": -0.0189,
|
| 849 |
+
"num_tokens": 37461.0,
|
| 850 |
+
"reward": 1.7509318590164185,
|
| 851 |
+
"reward_std": 0.0020830321591347456,
|
| 852 |
+
"rewards/concensus_correctness_reward_func/mean": 1.683500051498413,
|
| 853 |
+
"rewards/concensus_correctness_reward_func/std": 0.4453195035457611,
|
| 854 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 855 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 856 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 857 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 858 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 859 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 860 |
+
"rewards/question_recreation_reward_func/mean": 0.06743180518969893,
|
| 861 |
+
"rewards/question_recreation_reward_func/std": 0.004411348141729832,
|
| 862 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 863 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 864 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 865 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 866 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 867 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 868 |
+
"step": 44
|
| 869 |
},
|
| 870 |
{
|
| 871 |
+
"clip_ratio/high_max": 0.0,
|
| 872 |
+
"clip_ratio/high_mean": 0.0,
|
| 873 |
+
"clip_ratio/low_mean": 0.0,
|
| 874 |
+
"clip_ratio/low_min": 0.0,
|
| 875 |
+
"clip_ratio/region_mean": 0.0,
|
| 876 |
+
"completions/clipped_ratio": 0.125,
|
| 877 |
+
"completions/max_length": 93.0,
|
| 878 |
+
"completions/max_terminated_length": 72.5,
|
| 879 |
+
"completions/mean_length": 32.5625,
|
| 880 |
+
"completions/mean_terminated_length": 22.583333015441895,
|
| 881 |
+
"completions/min_length": 4.0,
|
| 882 |
+
"completions/min_terminated_length": 4.0,
|
| 883 |
+
"epoch": 15.333333333333334,
|
| 884 |
+
"grad_norm": 14.194186210632324,
|
| 885 |
+
"kl": 0.33030909672379494,
|
| 886 |
+
"learning_rate": 1.3267467626223605e-08,
|
| 887 |
+
"loss": 0.0271,
|
| 888 |
+
"num_tokens": 39502.0,
|
| 889 |
+
"reward": 0.019012368749827147,
|
| 890 |
+
"reward_std": 0.0037862203316763043,
|
| 891 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
| 892 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 893 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 894 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 895 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 896 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 897 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 898 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 899 |
+
"rewards/question_recreation_reward_func/mean": 0.019012369215488434,
|
| 900 |
+
"rewards/question_recreation_reward_func/std": 0.014280529227107763,
|
| 901 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 902 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 903 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 904 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 905 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 906 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 907 |
+
"step": 46
|
| 908 |
},
|
| 909 |
{
|
| 910 |
+
"clip_ratio/high_max": 0.0,
|
| 911 |
+
"clip_ratio/high_mean": 0.0,
|
| 912 |
+
"clip_ratio/low_mean": 0.0,
|
| 913 |
+
"clip_ratio/low_min": 0.0,
|
| 914 |
+
"clip_ratio/region_mean": 0.0,
|
| 915 |
+
"completions/clipped_ratio": 0.25,
|
| 916 |
+
"completions/max_length": 50.0,
|
| 917 |
+
"completions/max_terminated_length": 4.0,
|
| 918 |
+
"completions/mean_length": 27.0,
|
| 919 |
+
"completions/mean_terminated_length": 4.0,
|
| 920 |
+
"completions/min_length": 4.0,
|
| 921 |
+
"completions/min_terminated_length": 4.0,
|
| 922 |
+
"epoch": 16.0,
|
| 923 |
+
"grad_norm": 6.133322715759277,
|
| 924 |
+
"kl": 0.044046737253665924,
|
| 925 |
+
"learning_rate": 4.803679899192392e-09,
|
| 926 |
+
"loss": 0.0,
|
| 927 |
+
"num_tokens": 41286.0,
|
| 928 |
+
"reward": 0.9705088818445802,
|
| 929 |
+
"reward_std": 0.0009944201447069645,
|
| 930 |
+
"rewards/concensus_correctness_reward_func/mean": 0.9599999785423279,
|
| 931 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
| 932 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 933 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 934 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 935 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 936 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 937 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 938 |
+
"rewards/question_recreation_reward_func/mean": 0.010508923325687647,
|
| 939 |
+
"rewards/question_recreation_reward_func/std": 0.004894755315035582,
|
| 940 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 941 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 942 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 943 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 944 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 945 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 946 |
+
"step": 48
|
| 947 |
},
|
| 948 |
{
|
| 949 |
+
"clip_ratio/high_max": 0.0,
|
| 950 |
+
"clip_ratio/high_mean": 0.0,
|
| 951 |
+
"clip_ratio/low_mean": 0.0,
|
| 952 |
+
"clip_ratio/low_min": 0.0,
|
| 953 |
+
"clip_ratio/region_mean": 0.0,
|
| 954 |
+
"completions/clipped_ratio": 0.1875,
|
| 955 |
+
"completions/max_length": 96.0,
|
| 956 |
+
"completions/max_terminated_length": 43.0,
|
| 957 |
+
"completions/mean_length": 28.6875,
|
| 958 |
+
"completions/mean_terminated_length": 13.523809909820557,
|
| 959 |
+
"completions/min_length": 4.0,
|
| 960 |
+
"completions/min_terminated_length": 4.0,
|
| 961 |
+
"epoch": 16.666666666666668,
|
| 962 |
+
"grad_norm": 7.58546257019043,
|
| 963 |
+
"kl": 0.1461558025330305,
|
| 964 |
+
"learning_rate": 5.352691903491303e-10,
|
| 965 |
+
"loss": -0.0349,
|
| 966 |
+
"num_tokens": 43281.0,
|
| 967 |
+
"reward": 0.4925380670465529,
|
| 968 |
+
"reward_std": 0.0025778122944757342,
|
| 969 |
+
"rewards/concensus_correctness_reward_func/mean": 0.48100000619888306,
|
| 970 |
+
"rewards/concensus_correctness_reward_func/std": 0.5142106413841248,
|
| 971 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
| 972 |
+
"rewards/consensus_reward_func/std": 0.0,
|
| 973 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
| 974 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
| 975 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
| 976 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
| 977 |
+
"rewards/question_recreation_reward_func/mean": 0.011538045946508646,
|
| 978 |
+
"rewards/question_recreation_reward_func/std": 0.008576579857617617,
|
| 979 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
| 980 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
| 981 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
| 982 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
| 983 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
| 984 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
| 985 |
+
"step": 50
|
| 986 |
},
|
| 987 |
{
|
| 988 |
+
"epoch": 16.666666666666668,
|
| 989 |
+
"step": 50,
|
| 990 |
"total_flos": 0.0,
|
| 991 |
+
"train_loss": -0.006354737589201066,
|
| 992 |
+
"train_runtime": 2680.4196,
|
| 993 |
+
"train_samples_per_second": 0.149,
|
| 994 |
+
"train_steps_per_second": 0.019
|
| 995 |
}
|
| 996 |
],
|
| 997 |
+
"logging_steps": 2,
|
| 998 |
+
"max_steps": 50,
|
| 999 |
+
"num_input_tokens_seen": 43281,
|
| 1000 |
+
"num_train_epochs": 17,
|
| 1001 |
+
"save_steps": 25,
|
| 1002 |
"stateful_callbacks": {
|
| 1003 |
"TrainerControl": {
|
| 1004 |
"args": {
|
|
|
|
| 1012 |
}
|
| 1013 |
},
|
| 1014 |
"total_flos": 0.0,
|
| 1015 |
+
"train_batch_size": 2,
|
| 1016 |
"trial_name": null,
|
| 1017 |
"trial_params": null
|
| 1018 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aab747cd8440c28c67e9fdfa8df6ca5ce16d51dfbea95f302c5d05f586371c45
|
| 3 |
+
size 6801
|