---
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- generated_from_trainer
model-index:
- name: test7_balanced_and_sentence
  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. -->

# test7_balanced_and_sentence

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: 2.1090

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8511        | 1.0   | 63   | 2.8392          |
| 2.8303        | 2.0   | 126  | 2.8357          |
| 2.8277        | 3.0   | 189  | 2.8396          |
| 2.7933        | 4.0   | 252  | 2.8123          |
| 2.7264        | 5.0   | 315  | 2.7844          |
| 2.6213        | 6.0   | 378  | 2.7200          |
| 2.513         | 7.0   | 441  | 2.7099          |
| 2.4436        | 8.0   | 504  | 2.5845          |
| 2.0946        | 9.0   | 567  | 2.5724          |
| 1.9708        | 10.0  | 630  | 2.3567          |
| 1.6289        | 11.0  | 693  | 2.3670          |
| 1.5015        | 12.0  | 756  | 2.3716          |
| 1.3488        | 13.0  | 819  | 2.1432          |
| 1.0815        | 14.0  | 882  | 2.2774          |
| 0.9128        | 15.0  | 945  | 2.3228          |
| 0.7779        | 16.0  | 1008 | 2.2310          |
| 0.5918        | 17.0  | 1071 | 2.3602          |
| 0.5215        | 18.0  | 1134 | 2.3472          |
| 0.3969        | 19.0  | 1197 | 2.3990          |
| 0.421         | 20.0  | 1260 | 2.4948          |
| 0.2811        | 21.0  | 1323 | 2.6314          |
| 0.2538        | 22.0  | 1386 | 2.7452          |
| 0.1646        | 23.0  | 1449 | 2.7550          |
| 0.1553        | 24.0  | 1512 | 2.8536          |
| 0.1743        | 25.0  | 1575 | 2.8543          |
| 0.198         | 26.0  | 1638 | 2.9044          |
| 0.1065        | 27.0  | 1701 | 2.9262          |
| 0.0935        | 28.0  | 1764 | 2.8968          |
| 0.0972        | 29.0  | 1827 | 2.9331          |
| 0.1296        | 30.0  | 1890 | 2.9396          |


### Framework versions

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