---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2.feature_ext-continue
  results: []
---

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# tamasheq-99-2.feature_ext-continue

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5169
- Wer: 0.8575

## 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: 3e-05
- 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 8.0502        | 15.79 | 300  | 3.0170          | 0.9972 |
| 2.2958        | 31.58 | 600  | 1.2753          | 0.8575 |
| 0.5807        | 47.37 | 900  | 1.2622          | 0.8547 |
| 0.3897        | 63.16 | 1200 | 1.3396          | 0.8603 |
| 0.311         | 78.95 | 1500 | 1.4590          | 0.8743 |
| 0.2819        | 94.74 | 1800 | 1.5169          | 0.8575 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3