---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- techiaith/banc-trawsgrifiadau-bangor
- generated_from_trainer
datasets:
- banc-trawsgrifiadau-bangor
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-cy
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - CY
      type: banc-trawsgrifiadau-bangor
      config: cy
      split: test
      args: 'Config: cy, Training split: train, Eval split: test'
    metrics:
    - name: Wer
      type: wer
      value: 0.44248649327805
---

<!-- 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-cy

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - CY dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5992
- Wer: 0.4425

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 800
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.6574        | 1.41  | 500  | 1.0889          | 0.7293 |
| 1.0887        | 2.83  | 1000 | 0.5992          | 0.4425 |
| 0.7223        | 4.24  | 1500 | 0.7267          | 0.4631 |
| 2.1295        | 5.66  | 2000 | 3.0492          | 0.9984 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0