---
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_M5
  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_M5

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: 0.2842
- Wer: 0.3115

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 7.869         | 1.0     | 32   | 5.7328          | 1.0578 |
| 3.1799        | 2.0     | 64   | 2.5788          | 0.9945 |
| 1.1289        | 3.0     | 96   | 0.8093          | 0.5926 |
| 0.743         | 4.0     | 128  | 0.6091          | 0.5035 |
| 0.6609        | 5.0     | 160  | 0.5270          | 0.4642 |
| 0.6302        | 6.0     | 192  | 0.4892          | 0.4301 |
| 0.6035        | 7.0     | 224  | 0.4419          | 0.4013 |
| 0.5367        | 8.0     | 256  | 0.4096          | 0.3844 |
| 0.5291        | 9.0     | 288  | 0.4008          | 0.3883 |
| 0.4851        | 10.0    | 320  | 0.3602          | 0.3634 |
| 0.4994        | 11.0    | 352  | 0.3457          | 0.3532 |
| 0.4523        | 12.0    | 384  | 0.3314          | 0.3514 |
| 0.4884        | 13.0    | 416  | 0.3278          | 0.3414 |
| 0.4278        | 14.0    | 448  | 0.3323          | 0.3471 |
| 0.4011        | 14.5397 | 465  | 0.2842          | 0.3115 |


### Framework versions

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