---
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