---
library_name: transformers
base_model: federicocosta1989/hubert_ca
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: repo_name
  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. -->

# repo_name

This model is a fine-tuned version of [federicocosta1989/hubert_ca](https://huggingface.co/federicocosta1989/hubert_ca) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9320
- Wer: 1.0

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 14.607        | 5.0   | 10   | 13.4154         | 1.0 |
| 7.0272        | 10.0  | 20   | 6.3748          | 1.0 |
| 4.2838        | 15.0  | 30   | 4.4523          | 1.0 |
| 4.6539        | 20.0  | 40   | 3.9320          | 1.0 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3