---
library_name: transformers
license: apache-2.0
base_model: DewiBrynJones/wav2vec2-xls-r-1b-ft-yt
tags:
- automatic-speech-recognition
- ./data-configs/cv.json
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-1b-yt-ft-cv-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-xls-r-1b-yt-ft-cv-cy

This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xls-r-1b-ft-yt](https://huggingface.co/DewiBrynJones/wav2vec2-xls-r-1b-ft-yt) on an unknown 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: 4
- eval_batch_size: 16
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| No log        | 0.1004 | 200  | nan             | 1.0 |
| No log        | 0.2008 | 400  | nan             | 1.0 |
| 0.0           | 0.3012 | 600  | nan             | 1.0 |
| 0.0           | 0.4016 | 800  | nan             | 1.0 |
| 0.0           | 0.5020 | 1000 | nan             | 1.0 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3