---
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
- zero-shot
- text-classification
model-index:
- name: test5_balanced
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test5_balanced

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: 1.6178

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.767         | 1.0   | 63   | 1.7701          |
| 0.7145        | 2.0   | 126  | 1.7878          |
| 0.6274        | 3.0   | 189  | 1.7128          |
| 0.5223        | 4.0   | 252  | 1.8296          |
| 0.4235        | 5.0   | 315  | 1.8380          |
| 0.3006        | 6.0   | 378  | 1.7538          |
| 0.2062        | 7.0   | 441  | 2.2563          |
| 0.2264        | 8.0   | 504  | 2.1357          |
| 0.0617        | 9.0   | 567  | 2.2696          |
| 0.1367        | 10.0  | 630  | 2.2558          |


### Framework versions

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