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tamasheq-99-2
This model is a fine-tuned version of ad019el/tamasheq-99-2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3830
- Wer: 0.8701
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 |
---|---|---|---|---|
9.9932 | 15.79 | 300 | 3.5172 | 1.0 |
2.9067 | 31.58 | 600 | 1.7973 | 1.0282 |
0.7973 | 47.37 | 900 | 1.1744 | 0.8757 |
0.4535 | 63.16 | 1200 | 1.2484 | 0.8475 |
0.3511 | 78.95 | 1500 | 1.3254 | 0.8616 |
0.3156 | 94.74 | 1800 | 1.3830 | 0.8701 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3