---
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- generated_from_trainer
model-index:
- name: test5_balanced_60ep
  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. -->

# test5_balanced_60ep

This model is a fine-tuned version of [ibaucells/RoBERTa-ca-CaWikiTC](https://huggingface.co/ibaucells/RoBERTa-ca-CaWikiTC) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8209

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8299        | 1.0   | 63   | 2.8361          |
| 2.8512        | 2.0   | 126  | 2.8253          |
| 2.8118        | 3.0   | 189  | 2.8376          |
| 2.7238        | 4.0   | 252  | 2.7157          |
| 2.5914        | 5.0   | 315  | 2.6045          |
| 2.5527        | 6.0   | 378  | 2.5580          |
| 2.4197        | 7.0   | 441  | 2.6009          |
| 2.2561        | 8.0   | 504  | 2.3989          |
| 1.9213        | 9.0   | 567  | 2.2129          |
| 1.8147        | 10.0  | 630  | 2.1155          |
| 1.4336        | 11.0  | 693  | 2.0509          |
| 1.2948        | 12.0  | 756  | 1.8276          |
| 0.9833        | 13.0  | 819  | 1.8245          |
| 0.8577        | 14.0  | 882  | 1.7360          |
| 0.665         | 15.0  | 945  | 1.8072          |
| 0.5397        | 16.0  | 1008 | 1.8583          |
| 0.2861        | 17.0  | 1071 | 1.9073          |
| 0.3394        | 18.0  | 1134 | 2.0320          |
| 0.2941        | 19.0  | 1197 | 2.1608          |
| 0.1868        | 20.0  | 1260 | 2.1440          |
| 0.175         | 21.0  | 1323 | 2.2099          |
| 0.3357        | 22.0  | 1386 | 2.3903          |
| 0.1311        | 23.0  | 1449 | 2.4006          |
| 0.103         | 24.0  | 1512 | 2.4874          |
| 0.1323        | 25.0  | 1575 | 2.5191          |
| 0.0928        | 26.0  | 1638 | 2.3582          |
| 0.0872        | 27.0  | 1701 | 2.4494          |
| 0.1271        | 28.0  | 1764 | 2.5821          |
| 0.1796        | 29.0  | 1827 | 2.6190          |
| 0.0479        | 30.0  | 1890 | 2.5549          |
| 0.0197        | 31.0  | 1953 | 2.8739          |
| 0.0222        | 32.0  | 2016 | 2.7927          |
| 0.019         | 33.0  | 2079 | 2.8467          |
| 0.0946        | 34.0  | 2142 | 2.9086          |
| 0.0084        | 35.0  | 2205 | 2.7976          |
| 0.0539        | 36.0  | 2268 | 2.8300          |
| 0.0553        | 37.0  | 2331 | 2.9293          |
| 0.0124        | 38.0  | 2394 | 3.0047          |
| 0.0447        | 39.0  | 2457 | 2.9724          |
| 0.0363        | 40.0  | 2520 | 2.9775          |
| 0.0056        | 41.0  | 2583 | 2.9972          |
| 0.0072        | 42.0  | 2646 | 3.0162          |
| 0.0091        | 43.0  | 2709 | 3.0348          |
| 0.031         | 44.0  | 2772 | 3.0490          |
| 0.0091        | 45.0  | 2835 | 3.0648          |
| 0.029         | 46.0  | 2898 | 3.0730          |
| 0.0076        | 47.0  | 2961 | 3.0866          |
| 0.0115        | 48.0  | 3024 | 3.0979          |
| 0.0047        | 49.0  | 3087 | 3.1102          |
| 0.0079        | 50.0  | 3150 | 3.1242          |
| 0.0039        | 51.0  | 3213 | 3.1299          |
| 0.0043        | 52.0  | 3276 | 3.1386          |
| 0.0322        | 53.0  | 3339 | 3.1478          |
| 0.0041        | 54.0  | 3402 | 3.1478          |
| 0.0289        | 55.0  | 3465 | 3.1570          |
| 0.0038        | 56.0  | 3528 | 3.1661          |
| 0.004         | 57.0  | 3591 | 3.1546          |
| 0.0037        | 58.0  | 3654 | 3.1575          |
| 0.0069        | 59.0  | 3717 | 3.1587          |
| 0.0135        | 60.0  | 3780 | 3.1626          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2