---
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_M2
  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_M2

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: 0.4519
- Wer: 0.4212

## 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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.852         | 1.0   | 25   | 5.4081          | 1.0355 |
| 3.2709        | 2.0   | 50   | 2.9079          | 0.9976 |
| 2.0551        | 3.0   | 75   | 1.3991          | 0.7921 |
| 1.2379        | 4.0   | 100  | 0.9750          | 0.6851 |
| 0.9935        | 5.0   | 125  | 0.7704          | 0.5634 |
| 0.8459        | 6.0   | 150  | 0.6053          | 0.4764 |
| 0.7386        | 7.0   | 175  | 0.5166          | 0.4373 |
| 0.6474        | 8.0   | 200  | 0.4519          | 0.4212 |


### Framework versions

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