---
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: 1.7381

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8474        | 1.0   | 63   | 2.8422          |
| 2.8221        | 2.0   | 126  | 2.8406          |
| 2.8228        | 3.0   | 189  | 2.8483          |
| 2.7804        | 4.0   | 252  | 2.8079          |
| 2.6707        | 5.0   | 315  | 2.7224          |
| 2.5542        | 6.0   | 378  | 2.6884          |
| 2.3782        | 7.0   | 441  | 2.5568          |
| 2.302         | 8.0   | 504  | 2.5003          |
| 1.9717        | 9.0   | 567  | 2.2786          |
| 1.7659        | 10.0  | 630  | 2.1437          |
| 1.4552        | 11.0  | 693  | 2.0261          |
| 1.1394        | 12.0  | 756  | 1.8772          |
| 0.8644        | 13.0  | 819  | 1.8367          |
| 0.826         | 14.0  | 882  | 1.6980          |
| 0.5626        | 15.0  | 945  | 1.8251          |
| 0.3684        | 16.0  | 1008 | 1.8207          |
| 0.2861        | 17.0  | 1071 | 2.0102          |
| 0.2056        | 18.0  | 1134 | 2.2188          |
| 0.1174        | 19.0  | 1197 | 2.1110          |
| 0.1485        | 20.0  | 1260 | 2.1932          |
| 0.1064        | 21.0  | 1323 | 2.2119          |
| 0.065         | 22.0  | 1386 | 2.3062          |
| 0.0528        | 23.0  | 1449 | 2.3949          |
| 0.0734        | 24.0  | 1512 | 2.3761          |
| 0.0342        | 25.0  | 1575 | 2.4951          |
| 0.0686        | 26.0  | 1638 | 2.5017          |
| 0.0281        | 27.0  | 1701 | 2.5199          |
| 0.0262        | 28.0  | 1764 | 2.5461          |
| 0.0346        | 29.0  | 1827 | 2.5469          |
| 0.0261        | 30.0  | 1890 | 2.5541          |


### Framework versions

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