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---
base_model: ad019el/tamasheq-99-2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: tamasheq-99-2
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-99-2
This model is a fine-tuned version of [ad019el/tamasheq-99-2](https://huggingface.co/ad019el/tamasheq-99-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1325
- Wer: 0.8412
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.2316 | 4.62 | 300 | 2.8431 | 1.0147 |
| 2.0332 | 9.23 | 600 | 1.2104 | 0.8265 |
| 1.307 | 13.85 | 900 | 1.0923 | 0.8324 |
| 1.0941 | 18.46 | 1200 | 1.1327 | 0.8176 |
| 1.016 | 23.08 | 1500 | 1.1560 | 0.8235 |
| 0.9744 | 27.69 | 1800 | 1.1325 | 0.8412 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|