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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: output |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# output |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1301 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.2376 | 1.0 | 557 | 0.1378 | |
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| 0.1626 | 2.0 | 1114 | 0.1266 | |
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| 0.1515 | 3.0 | 1671 | 0.1213 | |
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| 0.146 | 4.0 | 2228 | 0.1188 | |
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| 0.1425 | 5.0 | 2785 | 0.1166 | |
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| 0.14 | 6.0 | 3342 | 0.1161 | |
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| 0.138 | 7.0 | 3899 | 0.1144 | |
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| 0.1365 | 8.0 | 4456 | 0.1141 | |
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| 0.1351 | 9.0 | 5013 | 0.1138 | |
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| 0.134 | 10.0 | 5570 | 0.1137 | |
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| 0.1329 | 11.0 | 6127 | 0.1124 | |
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| 0.132 | 12.0 | 6684 | 0.1122 | |
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| 0.1312 | 13.0 | 7241 | 0.1118 | |
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| 0.1305 | 14.0 | 7798 | 0.1119 | |
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| 0.1299 | 15.0 | 8355 | 0.1118 | |
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| 0.1294 | 16.0 | 8912 | 0.1112 | |
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| 0.129 | 17.0 | 9469 | 0.1112 | |
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| 0.1285 | 18.0 | 10026 | 0.1116 | |
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| 0.1282 | 19.0 | 10583 | 0.1105 | |
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| 0.1276 | 20.0 | 11140 | 0.1103 | |
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| 0.1273 | 21.0 | 11697 | 0.1106 | |
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| 0.1269 | 22.0 | 12254 | 0.1103 | |
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| 0.1267 | 23.0 | 12811 | 0.1103 | |
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| 0.1263 | 24.0 | 13368 | 0.1098 | |
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| 0.126 | 25.0 | 13925 | 0.1098 | |
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| 0.1257 | 26.0 | 14482 | 0.1098 | |
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| 0.1253 | 27.0 | 15039 | 0.1101 | |
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| 0.125 | 28.0 | 15596 | 0.1104 | |
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| 0.1247 | 29.0 | 16153 | 0.1102 | |
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| 0.1245 | 30.0 | 16710 | 0.1093 | |
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| 0.1241 | 31.0 | 17267 | 0.1112 | |
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| 0.124 | 32.0 | 17824 | 0.1092 | |
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| 0.1237 | 33.0 | 18381 | 0.1097 | |
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| 0.1235 | 34.0 | 18938 | 0.1094 | |
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| 0.1233 | 35.0 | 19495 | 0.1097 | |
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| 0.1229 | 36.0 | 20052 | 0.1101 | |
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| 0.1227 | 37.0 | 20609 | 0.1107 | |
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| 0.1226 | 38.0 | 21166 | 0.1094 | |
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| 0.1224 | 39.0 | 21723 | 0.1094 | |
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| 0.1221 | 40.0 | 22280 | 0.1102 | |
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| 0.122 | 41.0 | 22837 | 0.1109 | |
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| 0.1218 | 42.0 | 23394 | 0.1101 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.1 |
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