---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-ccv-cy
  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. -->

# wav2vec2-xlsr-53-ft-btb-ccv-cy

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5418
- Wer: 0.4178

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| No log        | 0.0672 | 200  | 3.1445          | 1.0    |
| No log        | 0.1344 | 400  | 2.7407          | 1.0000 |
| 4.0188        | 0.2016 | 600  | 1.2700          | 0.8484 |
| 4.0188        | 0.2688 | 800  | 0.9953          | 0.7435 |
| 1.0707        | 0.3360 | 1000 | 0.8647          | 0.6541 |
| 1.0707        | 0.4032 | 1200 | 0.7889          | 0.5784 |
| 1.0707        | 0.4704 | 1400 | 0.7465          | 0.5440 |
| 0.8175        | 0.5376 | 1600 | 0.6828          | 0.5042 |
| 0.8175        | 0.6048 | 1800 | 0.6549          | 0.4952 |
| 0.7148        | 0.6720 | 2000 | 0.6290          | 0.4906 |
| 0.7148        | 0.7392 | 2200 | 0.6113          | 0.4576 |
| 0.7148        | 0.8065 | 2400 | 0.5719          | 0.4405 |
| 0.6374        | 0.8737 | 2600 | 0.5644          | 0.4314 |
| 0.6374        | 0.9409 | 2800 | 0.5483          | 0.4190 |
| 0.6013        | 1.0081 | 3000 | 0.5418          | 0.4178 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1