---
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-chich-colab
  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-chich-colab

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: inf
- Wer: 0.6583

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 6.9371        | 0.44  | 100  | inf             | 0.7521 |
| 1.4647        | 0.88  | 200  | inf             | 0.7314 |
| 1.2928        | 1.32  | 300  | inf             | 0.7388 |
| 1.3529        | 1.75  | 400  | inf             | 0.7320 |
| 1.1927        | 2.19  | 500  | inf             | 0.6984 |
| 1.34          | 2.63  | 600  | inf             | 0.6992 |
| 1.2707        | 3.07  | 700  | inf             | 0.6922 |
| 1.105         | 3.51  | 800  | inf             | 0.7185 |
| 1.1334        | 3.95  | 900  | inf             | 0.6838 |
| 1.0915        | 4.39  | 1000 | inf             | 0.6751 |
| 1.133         | 4.82  | 1100 | inf             | 0.6934 |
| 1.1295        | 5.26  | 1200 | inf             | 0.6752 |
| 1.0214        | 5.7   | 1300 | inf             | 0.6700 |
| 0.9687        | 6.14  | 1400 | inf             | 0.6692 |
| 1.0553        | 6.58  | 1500 | inf             | 0.6664 |
| 0.9686        | 7.02  | 1600 | inf             | 0.6618 |
| 0.9565        | 7.46  | 1700 | inf             | 0.6605 |
| 1.001         | 7.89  | 1800 | inf             | 0.6583 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1