---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-dzo-colab-3
  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-dzo-colab-3

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5807
- Wer: 0.4336

## 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: 0.004
- train_batch_size: 8
- 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: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.6531        | 1.0   | 20   | 7.3871          | 1.0    |
| 3.365         | 2.0   | 40   | 3.0972          | 1.0    |
| 2.3227        | 3.0   | 60   | 1.8379          | 0.8684 |
| 1.1025        | 4.0   | 80   | 0.9537          | 0.6287 |
| 0.8483        | 5.0   | 100  | 0.7576          | 0.5405 |
| 0.7097        | 6.0   | 120  | 0.6485          | 0.5041 |
| 0.659         | 7.0   | 140  | 0.6432          | 0.4912 |
| 0.5759        | 8.0   | 160  | 0.6042          | 0.4853 |
| 0.5178        | 9.0   | 180  | 0.5881          | 0.4630 |
| 0.4767        | 10.0  | 200  | 0.5807          | 0.4336 |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0