---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tun_msa_wav2vec4
  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. -->

# tun_msa_wav2vec4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0258
- Wer: 0.7054
- Cer: 0.2514

## 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: 1e-06
- train_batch_size: 16
- 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: 700
- num_epochs: 60

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 4.9443        | 6.7669  | 900  | 2.9731          | 0.9978 | 0.9143 |
| 2.385         | 13.5338 | 1800 | 1.4747          | 0.8366 | 0.3285 |
| 1.6027        | 20.3008 | 2700 | 1.1810          | 0.7617 | 0.2766 |
| 1.3459        | 27.0677 | 3600 | 1.0963          | 0.7317 | 0.2615 |
| 1.2812        | 33.8346 | 4500 | 1.0580          | 0.7240 | 0.2563 |
| 1.2156        | 40.6015 | 5400 | 1.0426          | 0.7127 | 0.2538 |
| 1.1119        | 47.3684 | 6300 | 1.0305          | 0.7069 | 0.2519 |
| 1.0993        | 54.1353 | 7200 | 1.0258          | 0.7054 | 0.2514 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1