End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +521 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: hp_ablations_qwen_bsz1024
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# hp_ablations_qwen_bsz1024
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.6190
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: hp_ablations_qwen_bsz1024
|
|
|
|
| 16 |
|
| 17 |
# hp_ablations_qwen_bsz1024
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.6190
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.994871794871795,
|
| 3 |
+
"eval_loss": 0.6190248131752014,
|
| 4 |
+
"eval_runtime": 222.7123,
|
| 5 |
+
"eval_samples_per_second": 53.086,
|
| 6 |
+
"eval_steps_per_second": 0.418,
|
| 7 |
+
"total_flos": 2754957111459840.0,
|
| 8 |
+
"train_loss": 0.6167326612196739,
|
| 9 |
+
"train_runtime": 35776.9525,
|
| 10 |
+
"train_samples_per_second": 18.835,
|
| 11 |
+
"train_steps_per_second": 0.018
|
| 12 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.994871794871795,
|
| 3 |
+
"eval_loss": 0.6190248131752014,
|
| 4 |
+
"eval_runtime": 222.7123,
|
| 5 |
+
"eval_samples_per_second": 53.086,
|
| 6 |
+
"eval_steps_per_second": 0.418
|
| 7 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.994871794871795,
|
| 3 |
+
"total_flos": 2754957111459840.0,
|
| 4 |
+
"train_loss": 0.6167326612196739,
|
| 5 |
+
"train_runtime": 35776.9525,
|
| 6 |
+
"train_samples_per_second": 18.835,
|
| 7 |
+
"train_steps_per_second": 0.018
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,521 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.994871794871795,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 657,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.045584045584045586,
|
| 13 |
+
"grad_norm": 0.9747199141382675,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.7529,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.09116809116809117,
|
| 20 |
+
"grad_norm": 0.8738603014316104,
|
| 21 |
+
"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.6963,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.13675213675213677,
|
| 27 |
+
"grad_norm": 0.8150690175536751,
|
| 28 |
+
"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.6838,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.18233618233618235,
|
| 34 |
+
"grad_norm": 0.8040590579100562,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6731,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.22792022792022792,
|
| 41 |
+
"grad_norm": 0.8097580687205038,
|
| 42 |
+
"learning_rate": 5e-06,
|
| 43 |
+
"loss": 0.6568,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.27350427350427353,
|
| 48 |
+
"grad_norm": 0.7017512733530653,
|
| 49 |
+
"learning_rate": 5e-06,
|
| 50 |
+
"loss": 0.6482,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.3190883190883191,
|
| 55 |
+
"grad_norm": 0.46658768732638123,
|
| 56 |
+
"learning_rate": 5e-06,
|
| 57 |
+
"loss": 0.6508,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.3646723646723647,
|
| 62 |
+
"grad_norm": 0.27624642671580113,
|
| 63 |
+
"learning_rate": 5e-06,
|
| 64 |
+
"loss": 0.6449,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.41025641025641024,
|
| 69 |
+
"grad_norm": 0.24917438010760184,
|
| 70 |
+
"learning_rate": 5e-06,
|
| 71 |
+
"loss": 0.6411,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.45584045584045585,
|
| 76 |
+
"grad_norm": 0.2581331671168845,
|
| 77 |
+
"learning_rate": 5e-06,
|
| 78 |
+
"loss": 0.6402,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.5014245014245015,
|
| 83 |
+
"grad_norm": 0.24037652957624636,
|
| 84 |
+
"learning_rate": 5e-06,
|
| 85 |
+
"loss": 0.6422,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.5470085470085471,
|
| 90 |
+
"grad_norm": 0.23269369333404952,
|
| 91 |
+
"learning_rate": 5e-06,
|
| 92 |
+
"loss": 0.6374,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.5925925925925926,
|
| 97 |
+
"grad_norm": 0.23915104514085617,
|
| 98 |
+
"learning_rate": 5e-06,
|
| 99 |
+
"loss": 0.6395,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.6381766381766382,
|
| 104 |
+
"grad_norm": 0.2609780887042042,
|
| 105 |
+
"learning_rate": 5e-06,
|
| 106 |
+
"loss": 0.6412,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.6837606837606838,
|
| 111 |
+
"grad_norm": 0.23404048980327943,
|
| 112 |
+
"learning_rate": 5e-06,
|
| 113 |
+
"loss": 0.6337,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.7293447293447294,
|
| 118 |
+
"grad_norm": 0.21838704952274085,
|
| 119 |
+
"learning_rate": 5e-06,
|
| 120 |
+
"loss": 0.6333,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.7749287749287749,
|
| 125 |
+
"grad_norm": 0.2382035774873146,
|
| 126 |
+
"learning_rate": 5e-06,
|
| 127 |
+
"loss": 0.633,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.8205128205128205,
|
| 132 |
+
"grad_norm": 0.2438000385852018,
|
| 133 |
+
"learning_rate": 5e-06,
|
| 134 |
+
"loss": 0.6386,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.8660968660968661,
|
| 139 |
+
"grad_norm": 0.22530554762484006,
|
| 140 |
+
"learning_rate": 5e-06,
|
| 141 |
+
"loss": 0.6345,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.9116809116809117,
|
| 146 |
+
"grad_norm": 0.2349886748386411,
|
| 147 |
+
"learning_rate": 5e-06,
|
| 148 |
+
"loss": 0.6408,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.9572649572649573,
|
| 153 |
+
"grad_norm": 0.25085516929265755,
|
| 154 |
+
"learning_rate": 5e-06,
|
| 155 |
+
"loss": 0.6322,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.9982905982905983,
|
| 160 |
+
"eval_loss": 0.6290858387947083,
|
| 161 |
+
"eval_runtime": 223.0866,
|
| 162 |
+
"eval_samples_per_second": 52.997,
|
| 163 |
+
"eval_steps_per_second": 0.417,
|
| 164 |
+
"step": 219
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.002849002849003,
|
| 168 |
+
"grad_norm": 0.4128874703264031,
|
| 169 |
+
"learning_rate": 5e-06,
|
| 170 |
+
"loss": 0.6672,
|
| 171 |
+
"step": 220
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.0484330484330484,
|
| 175 |
+
"grad_norm": 0.2741974395463933,
|
| 176 |
+
"learning_rate": 5e-06,
|
| 177 |
+
"loss": 0.6126,
|
| 178 |
+
"step": 230
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 1.0940170940170941,
|
| 182 |
+
"grad_norm": 0.24996957336799014,
|
| 183 |
+
"learning_rate": 5e-06,
|
| 184 |
+
"loss": 0.6122,
|
| 185 |
+
"step": 240
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.1396011396011396,
|
| 189 |
+
"grad_norm": 0.2308654521968029,
|
| 190 |
+
"learning_rate": 5e-06,
|
| 191 |
+
"loss": 0.6147,
|
| 192 |
+
"step": 250
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 1.1851851851851851,
|
| 196 |
+
"grad_norm": 0.21800620424831227,
|
| 197 |
+
"learning_rate": 5e-06,
|
| 198 |
+
"loss": 0.6104,
|
| 199 |
+
"step": 260
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 1.2307692307692308,
|
| 203 |
+
"grad_norm": 0.22878445296983144,
|
| 204 |
+
"learning_rate": 5e-06,
|
| 205 |
+
"loss": 0.6109,
|
| 206 |
+
"step": 270
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 1.2763532763532763,
|
| 210 |
+
"grad_norm": 0.22048121695978434,
|
| 211 |
+
"learning_rate": 5e-06,
|
| 212 |
+
"loss": 0.6137,
|
| 213 |
+
"step": 280
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 1.3219373219373218,
|
| 217 |
+
"grad_norm": 0.22321985375553052,
|
| 218 |
+
"learning_rate": 5e-06,
|
| 219 |
+
"loss": 0.6102,
|
| 220 |
+
"step": 290
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.3675213675213675,
|
| 224 |
+
"grad_norm": 0.23340158642086364,
|
| 225 |
+
"learning_rate": 5e-06,
|
| 226 |
+
"loss": 0.609,
|
| 227 |
+
"step": 300
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 1.413105413105413,
|
| 231 |
+
"grad_norm": 0.2160885724116477,
|
| 232 |
+
"learning_rate": 5e-06,
|
| 233 |
+
"loss": 0.613,
|
| 234 |
+
"step": 310
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 1.4586894586894588,
|
| 238 |
+
"grad_norm": 0.21579764874251084,
|
| 239 |
+
"learning_rate": 5e-06,
|
| 240 |
+
"loss": 0.6105,
|
| 241 |
+
"step": 320
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 1.5042735042735043,
|
| 245 |
+
"grad_norm": 0.24191612198460108,
|
| 246 |
+
"learning_rate": 5e-06,
|
| 247 |
+
"loss": 0.6049,
|
| 248 |
+
"step": 330
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.54985754985755,
|
| 252 |
+
"grad_norm": 0.2218278655422596,
|
| 253 |
+
"learning_rate": 5e-06,
|
| 254 |
+
"loss": 0.6081,
|
| 255 |
+
"step": 340
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 1.5954415954415955,
|
| 259 |
+
"grad_norm": 0.2322145105092986,
|
| 260 |
+
"learning_rate": 5e-06,
|
| 261 |
+
"loss": 0.6129,
|
| 262 |
+
"step": 350
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 1.641025641025641,
|
| 266 |
+
"grad_norm": 0.21658541308539972,
|
| 267 |
+
"learning_rate": 5e-06,
|
| 268 |
+
"loss": 0.6092,
|
| 269 |
+
"step": 360
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 1.6866096866096867,
|
| 273 |
+
"grad_norm": 0.24054412349179422,
|
| 274 |
+
"learning_rate": 5e-06,
|
| 275 |
+
"loss": 0.6057,
|
| 276 |
+
"step": 370
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 1.7321937321937322,
|
| 280 |
+
"grad_norm": 0.2725818691336268,
|
| 281 |
+
"learning_rate": 5e-06,
|
| 282 |
+
"loss": 0.6065,
|
| 283 |
+
"step": 380
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.7777777777777777,
|
| 287 |
+
"grad_norm": 0.23261322507876125,
|
| 288 |
+
"learning_rate": 5e-06,
|
| 289 |
+
"loss": 0.6075,
|
| 290 |
+
"step": 390
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.8233618233618234,
|
| 294 |
+
"grad_norm": 0.21931910039916533,
|
| 295 |
+
"learning_rate": 5e-06,
|
| 296 |
+
"loss": 0.6028,
|
| 297 |
+
"step": 400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 1.868945868945869,
|
| 301 |
+
"grad_norm": 0.2102187671028171,
|
| 302 |
+
"learning_rate": 5e-06,
|
| 303 |
+
"loss": 0.6003,
|
| 304 |
+
"step": 410
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 1.9145299145299144,
|
| 308 |
+
"grad_norm": 0.22631213435723302,
|
| 309 |
+
"learning_rate": 5e-06,
|
| 310 |
+
"loss": 0.6067,
|
| 311 |
+
"step": 420
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 1.96011396011396,
|
| 315 |
+
"grad_norm": 0.23696933054944608,
|
| 316 |
+
"learning_rate": 5e-06,
|
| 317 |
+
"loss": 0.6083,
|
| 318 |
+
"step": 430
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.9965811965811966,
|
| 322 |
+
"eval_loss": 0.6215006709098816,
|
| 323 |
+
"eval_runtime": 224.1659,
|
| 324 |
+
"eval_samples_per_second": 52.742,
|
| 325 |
+
"eval_steps_per_second": 0.415,
|
| 326 |
+
"step": 438
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 2.005698005698006,
|
| 330 |
+
"grad_norm": 0.2323893228533647,
|
| 331 |
+
"learning_rate": 5e-06,
|
| 332 |
+
"loss": 0.6421,
|
| 333 |
+
"step": 440
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 2.051282051282051,
|
| 337 |
+
"grad_norm": 0.2248336007687922,
|
| 338 |
+
"learning_rate": 5e-06,
|
| 339 |
+
"loss": 0.5803,
|
| 340 |
+
"step": 450
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 2.096866096866097,
|
| 344 |
+
"grad_norm": 0.225417442071853,
|
| 345 |
+
"learning_rate": 5e-06,
|
| 346 |
+
"loss": 0.5869,
|
| 347 |
+
"step": 460
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 2.1424501424501425,
|
| 351 |
+
"grad_norm": 0.2204104722476421,
|
| 352 |
+
"learning_rate": 5e-06,
|
| 353 |
+
"loss": 0.5845,
|
| 354 |
+
"step": 470
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 2.1880341880341883,
|
| 358 |
+
"grad_norm": 0.2565084390638512,
|
| 359 |
+
"learning_rate": 5e-06,
|
| 360 |
+
"loss": 0.5837,
|
| 361 |
+
"step": 480
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 2.2336182336182335,
|
| 365 |
+
"grad_norm": 0.2245257556826023,
|
| 366 |
+
"learning_rate": 5e-06,
|
| 367 |
+
"loss": 0.5828,
|
| 368 |
+
"step": 490
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 2.2792022792022792,
|
| 372 |
+
"grad_norm": 0.22001308034422606,
|
| 373 |
+
"learning_rate": 5e-06,
|
| 374 |
+
"loss": 0.5831,
|
| 375 |
+
"step": 500
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 2.324786324786325,
|
| 379 |
+
"grad_norm": 0.2270454664497775,
|
| 380 |
+
"learning_rate": 5e-06,
|
| 381 |
+
"loss": 0.5838,
|
| 382 |
+
"step": 510
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 2.3703703703703702,
|
| 386 |
+
"grad_norm": 0.22740470236209073,
|
| 387 |
+
"learning_rate": 5e-06,
|
| 388 |
+
"loss": 0.586,
|
| 389 |
+
"step": 520
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 2.415954415954416,
|
| 393 |
+
"grad_norm": 0.2302979493200276,
|
| 394 |
+
"learning_rate": 5e-06,
|
| 395 |
+
"loss": 0.5883,
|
| 396 |
+
"step": 530
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 2.4615384615384617,
|
| 400 |
+
"grad_norm": 0.25292997039450504,
|
| 401 |
+
"learning_rate": 5e-06,
|
| 402 |
+
"loss": 0.5927,
|
| 403 |
+
"step": 540
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 2.5071225071225074,
|
| 407 |
+
"grad_norm": 0.2223763921390108,
|
| 408 |
+
"learning_rate": 5e-06,
|
| 409 |
+
"loss": 0.5914,
|
| 410 |
+
"step": 550
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 2.5527065527065527,
|
| 414 |
+
"grad_norm": 0.23815767371523935,
|
| 415 |
+
"learning_rate": 5e-06,
|
| 416 |
+
"loss": 0.5859,
|
| 417 |
+
"step": 560
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 2.5982905982905984,
|
| 421 |
+
"grad_norm": 0.2593266359272012,
|
| 422 |
+
"learning_rate": 5e-06,
|
| 423 |
+
"loss": 0.5854,
|
| 424 |
+
"step": 570
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 2.6438746438746437,
|
| 428 |
+
"grad_norm": 0.23931559412564932,
|
| 429 |
+
"learning_rate": 5e-06,
|
| 430 |
+
"loss": 0.5854,
|
| 431 |
+
"step": 580
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 2.6894586894586894,
|
| 435 |
+
"grad_norm": 0.21456969497967046,
|
| 436 |
+
"learning_rate": 5e-06,
|
| 437 |
+
"loss": 0.5865,
|
| 438 |
+
"step": 590
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 2.735042735042735,
|
| 442 |
+
"grad_norm": 0.23061617250879088,
|
| 443 |
+
"learning_rate": 5e-06,
|
| 444 |
+
"loss": 0.5862,
|
| 445 |
+
"step": 600
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 2.780626780626781,
|
| 449 |
+
"grad_norm": 0.2088223573865155,
|
| 450 |
+
"learning_rate": 5e-06,
|
| 451 |
+
"loss": 0.5856,
|
| 452 |
+
"step": 610
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 2.826210826210826,
|
| 456 |
+
"grad_norm": 0.22810405657658617,
|
| 457 |
+
"learning_rate": 5e-06,
|
| 458 |
+
"loss": 0.5874,
|
| 459 |
+
"step": 620
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 2.871794871794872,
|
| 463 |
+
"grad_norm": 0.268468678439456,
|
| 464 |
+
"learning_rate": 5e-06,
|
| 465 |
+
"loss": 0.5889,
|
| 466 |
+
"step": 630
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 2.9173789173789175,
|
| 470 |
+
"grad_norm": 0.23190583340922707,
|
| 471 |
+
"learning_rate": 5e-06,
|
| 472 |
+
"loss": 0.585,
|
| 473 |
+
"step": 640
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 2.962962962962963,
|
| 477 |
+
"grad_norm": 0.2202766065355913,
|
| 478 |
+
"learning_rate": 5e-06,
|
| 479 |
+
"loss": 0.58,
|
| 480 |
+
"step": 650
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 2.994871794871795,
|
| 484 |
+
"eval_loss": 0.6190248131752014,
|
| 485 |
+
"eval_runtime": 222.4874,
|
| 486 |
+
"eval_samples_per_second": 53.14,
|
| 487 |
+
"eval_steps_per_second": 0.418,
|
| 488 |
+
"step": 657
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.994871794871795,
|
| 492 |
+
"step": 657,
|
| 493 |
+
"total_flos": 2754957111459840.0,
|
| 494 |
+
"train_loss": 0.6167326612196739,
|
| 495 |
+
"train_runtime": 35776.9525,
|
| 496 |
+
"train_samples_per_second": 18.835,
|
| 497 |
+
"train_steps_per_second": 0.018
|
| 498 |
+
}
|
| 499 |
+
],
|
| 500 |
+
"logging_steps": 10,
|
| 501 |
+
"max_steps": 657,
|
| 502 |
+
"num_input_tokens_seen": 0,
|
| 503 |
+
"num_train_epochs": 3,
|
| 504 |
+
"save_steps": 500,
|
| 505 |
+
"stateful_callbacks": {
|
| 506 |
+
"TrainerControl": {
|
| 507 |
+
"args": {
|
| 508 |
+
"should_epoch_stop": false,
|
| 509 |
+
"should_evaluate": false,
|
| 510 |
+
"should_log": false,
|
| 511 |
+
"should_save": true,
|
| 512 |
+
"should_training_stop": true
|
| 513 |
+
},
|
| 514 |
+
"attributes": {}
|
| 515 |
+
}
|
| 516 |
+
},
|
| 517 |
+
"total_flos": 2754957111459840.0,
|
| 518 |
+
"train_batch_size": 8,
|
| 519 |
+
"trial_name": null,
|
| 520 |
+
"trial_params": null
|
| 521 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|