---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: wav2vec2-xls-r-1b-irish-5h-11k-steps
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: ga-IE
      split: test
      args: ga-IE
    metrics:
    - name: Wer
      type: wer
      value: 99.97108991037872
---

<!-- 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-irish-5h-11k-steps

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Wer: 99.9711
- Cer: 99.9943

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 3000
- training_steps: 11000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.9708        | 6.25  | 1000  | 2.8622          | 94.9986 | 93.1290 |
| 4.3506        | 12.5  | 2000  | 4.2474          | 96.5019 | 92.1035 |
| 4.4125        | 18.75 | 3000  | 4.2473          | 96.5019 | 92.2060 |
| 4.4092        | 25.0  | 4000  | 4.2474          | 96.3862 | 91.9781 |
| 4.436         | 31.25 | 5000  | 4.2474          | 96.4151 | 92.0978 |
| 4.4694        | 37.5  | 6000  | 4.2473          | 96.4441 | 92.1206 |
| 4.3806        | 43.75 | 7000  | 4.2474          | 96.3862 | 92.1775 |
| 4.4963        | 50.0  | 8000  | 4.2473          | 96.3862 | 92.0579 |
| 0.0           | 56.25 | 9000  | nan             | 99.9711 | 99.9943 |
| 0.0           | 62.5  | 10000 | nan             | 99.9711 | 99.9943 |
| 0.0           | 68.75 | 11000 | nan             | 99.9711 | 99.9943 |


### Framework versions

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