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