---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
- 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 the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 600
- training_steps: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| 4.7126        | 0.0321 | 500   | 1.7047          | 0.9346 |
| 1.0533        | 0.0641 | 1000  | 1.1487          | 0.7907 |
| 0.8268        | 0.0962 | 1500  | 1.0602          | 0.7815 |
| 0.7188        | 0.1283 | 2000  | 0.9336          | 0.6717 |
| 0.6725        | 0.1603 | 2500  | 0.9304          | 0.6561 |
| 0.6295        | 0.1924 | 3000  | 0.8600          | 0.6257 |
| 0.6003        | 0.2244 | 3500  | 0.8395          | 0.6113 |
| 0.5847        | 0.2565 | 4000  | 0.7884          | 0.5861 |
| 0.5521        | 0.2886 | 4500  | 0.7741          | 0.5687 |
| 0.5477        | 0.3206 | 5000  | 0.7594          | 0.5536 |
| 0.5346        | 0.3527 | 5500  | 0.7482          | 0.5394 |
| 0.5154        | 0.3848 | 6000  | 0.7294          | 0.5352 |
| 0.492         | 0.4168 | 6500  | 0.7248          | 0.5493 |
| 0.4759        | 0.4489 | 7000  | 0.7077          | 0.5134 |
| 0.4655        | 0.4810 | 7500  | 0.6739          | 0.5064 |
| 0.4594        | 0.5130 | 8000  | 0.6575          | 0.5067 |
| 0.4538        | 0.5451 | 8500  | 0.6493          | 0.5003 |
| 0.4739        | 0.5771 | 9000  | 0.7677          | 0.5239 |
| 0.695         | 0.6092 | 9500  | nan             | 1.0    |
| 0.0           | 0.6413 | 10000 | nan             | 1.0    |
| 0.0           | 0.6733 | 10500 | nan             | 1.0    |
| 0.0           | 0.7054 | 11000 | nan             | 1.0    |
| 0.0           | 0.7375 | 11500 | nan             | 1.0    |
| 0.0           | 0.7695 | 12000 | nan             | 1.0    |
| 0.0           | 0.8016 | 12500 | nan             | 1.0    |
| 0.0           | 0.8337 | 13000 | nan             | 1.0    |
| 0.0           | 0.8657 | 13500 | nan             | 1.0    |
| 0.0           | 0.8978 | 14000 | nan             | 1.0    |
| 0.0           | 0.9298 | 14500 | nan             | 1.0    |
| 0.0           | 0.9619 | 15000 | nan             | 1.0    |
| 0.0           | 0.9940 | 15500 | nan             | 1.0    |
| 0.0           | 1.0260 | 16000 | nan             | 1.0    |
| 0.0           | 1.0581 | 16500 | nan             | 1.0    |
| 0.0           | 1.0902 | 17000 | nan             | 1.0    |
| 0.0           | 1.1222 | 17500 | nan             | 1.0    |
| 0.0           | 1.1543 | 18000 | nan             | 1.0    |
| 0.0           | 1.1864 | 18500 | nan             | 1.0    |
| 0.0           | 1.2184 | 19000 | nan             | 1.0    |
| 0.0           | 1.2505 | 19500 | nan             | 1.0    |
| 0.0           | 1.2825 | 20000 | nan             | 1.0    |


### Framework versions

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