---
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-ngn-on-bam-17122024
  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-ngn-on-bam-17122024

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: 13.3362
- Wer: 0.9984

## 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: 16
- 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: 100
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 49.1683       | 0.2632 | 10   | 41.9386         | 1.4812 |
| 42.0061       | 0.5263 | 20   | 40.4597         | 1.6168 |
| 40.2869       | 0.7895 | 30   | 37.6978         | 1.7132 |
| 35.1294       | 1.0526 | 40   | 33.5613         | 1.6152 |
| 28.9708       | 1.3158 | 50   | 28.0153         | 1.3113 |
| 25.4906       | 1.5789 | 60   | 20.8692         | 1.0637 |
| 18.3476       | 1.8421 | 70   | 13.3362         | 0.9984 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0