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tamasheq-99-new-data
This model is a fine-tuned version of ad019el/tamasheq-99-final on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4502
- Wer: 0.5910
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.4543 | 9.8 | 500 | 0.8448 | 0.7354 |
| 0.3588 | 19.61 | 1000 | 0.4527 | 0.6020 |
| 0.2012 | 29.41 | 1500 | 0.4490 | 0.5950 |
| 0.1739 | 39.22 | 2000 | 0.4547 | 0.5950 |
| 0.1634 | 49.02 | 2500 | 0.4502 | 0.5910 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
