---
license: apache-2.0
base_model: facebook/wav2vec2-xlsr-53-espeak-cv-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99
  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. -->

# tamasheq-99

This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8641
- Wer: 1.0

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 10.0753       | 2.86  | 10   | 10.1435         | 1.6667 |
| 9.4458        | 5.71  | 20   | 9.0880          | 1.0    |
| 8.6766        | 8.57  | 30   | 7.2508          | 1.0    |
| 6.5268        | 11.43 | 40   | 4.9611          | 1.0    |
| 4.9686        | 14.29 | 50   | 3.6603          | 1.0    |
| 3.7601        | 17.14 | 60   | 3.2519          | 1.0    |
| 3.2887        | 20.0  | 70   | 3.0620          | 1.0    |
| 3.1475        | 22.86 | 80   | 2.9495          | 1.0    |
| 3.0013        | 25.71 | 90   | 2.8641          | 1.0    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3