---
base_model: facebook/mms-1b-all
license: cc-by-nc-4.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-mms-1b-tun_test
  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-large-mms-1b-tun_test

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.8202

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.7143        | 1.0   | 293  | inf             | 0.9356 |
| 2.3549        | 2.0   | 586  | inf             | 0.8881 |
| 2.2428        | 3.0   | 879  | inf             | 0.8788 |
| 2.2523        | 4.0   | 1172 | inf             | 0.8702 |
| 2.1636        | 5.0   | 1465 | inf             | 0.8788 |
| 2.0924        | 6.0   | 1758 | inf             | 0.8405 |
| 1.9987        | 7.0   | 2051 | inf             | 0.8265 |
| 1.9648        | 8.0   | 2344 | inf             | 0.8257 |
| 1.9403        | 9.0   | 2637 | inf             | 0.8292 |
| 1.9393        | 10.0  | 2930 | inf             | 0.8202 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1