---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-fl102
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: mal-mms-epoch4
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: ml
      split: validation
      args: ml
    metrics:
    - name: Wer
      type: wer
      value: 1.1976492421899165
---

<!-- 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. -->

# mal-mms-epoch4

This model is a fine-tuned version of [facebook/mms-1b-fl102](https://huggingface.co/facebook/mms-1b-fl102) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7720
- Wer: 1.1976

## 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: 32
- eval_batch_size: 8
- 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: 8
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.9826        | 0.4   | 16   | 8.2570          | 1.0439 |
| 4.2851        | 0.8   | 32   | 8.1419          | 1.0687 |
| 8.2118        | 1.2   | 48   | 7.8111          | 1.0730 |
| 4.362         | 1.6   | 64   | 7.3669          | 1.1766 |
| 7.9241        | 2.0   | 80   | 7.0512          | 1.2072 |
| 4.5478        | 2.4   | 96   | 6.9138          | 1.2007 |
| 3.9726        | 2.8   | 112  | 6.8219          | 1.2193 |
| 6.0029        | 3.2   | 128  | 6.8214          | 1.2069 |
| 4.328         | 3.6   | 144  | 6.8251          | 1.2014 |
| 6.5417        | 4.0   | 160  | 6.7720          | 1.1976 |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1