---
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-twi-colab2
  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-twi-colab2

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: 0.4517
- Wer: 0.4211

## 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: 0.0003
- 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: 200
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 5.9769        | 0.37  | 200  | 0.7091          | 0.6498 |
| 0.8277        | 0.73  | 400  | 0.4803          | 0.4690 |
| 0.7056        | 1.1   | 600  | 0.4752          | 0.4439 |
| 0.6693        | 1.46  | 800  | 0.4622          | 0.4311 |
| 0.6416        | 1.83  | 1000 | 0.4563          | 0.4324 |
| 0.6242        | 2.19  | 1200 | 0.4573          | 0.4268 |
| 0.6226        | 2.56  | 1400 | 0.4520          | 0.4250 |
| 0.5858        | 2.93  | 1600 | 0.4537          | 0.4222 |
| 0.5751        | 3.29  | 1800 | 0.4540          | 0.4227 |
| 0.5912        | 3.66  | 2000 | 0.4517          | 0.4211 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3