---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: testing_pretrained_tamasheq_only_FE
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# testing_pretrained_tamasheq_only_FE

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8742
- Wer: 0.8333
- Cer: 0.3145

## 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: 350

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
| 6.3383        | 35.29  | 300  | 2.9420          | 1.0    | 1.0    |
| 2.8426        | 70.59  | 600  | 2.7381          | 1.0    | 1.0    |
| 2.7564        | 105.88 | 900  | 2.7200          | 1.0    | 1.0    |
| 2.5802        | 141.18 | 1200 | 1.9677          | 1.0    | 0.7640 |
| 1.556         | 176.47 | 1500 | 1.4901          | 0.8481 | 0.3166 |
| 0.9319        | 211.76 | 1800 | 1.6803          | 0.8481 | 0.3067 |
| 0.7365        | 247.06 | 2100 | 1.7447          | 0.8481 | 0.3110 |
| 0.6363        | 282.35 | 2400 | 1.8439          | 0.8370 | 0.3110 |
| 0.5882        | 317.65 | 2700 | 1.8742          | 0.8333 | 0.3145 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3