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Kabyle_xlsr-finetuned-tamasheq.en
This model is a fine-tuned version of ad019el/Kabyle_xlsr-finetuned-tamasheq.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3502
- Wer: 0.8867
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 |
|---|---|---|---|---|
| 6.9014 | 3.41 | 300 | 2.9702 | 1.0 |
| 2.922 | 6.82 | 600 | 2.7233 | 1.0 |
| 2.4143 | 10.23 | 900 | 1.3795 | 0.9122 |
| 1.6795 | 13.64 | 1200 | 1.3346 | 0.8810 |
| 1.5 | 17.05 | 1500 | 1.3412 | 0.9207 |
| 1.4151 | 20.45 | 1800 | 1.3307 | 0.9037 |
| 1.3298 | 23.86 | 2100 | 1.3467 | 0.8782 |
| 1.2517 | 27.27 | 2400 | 1.3027 | 0.8768 |
| 1.2162 | 30.68 | 2700 | 1.3134 | 0.8810 |
| 1.1987 | 34.09 | 3000 | 1.3336 | 0.8754 |
| 1.1706 | 37.5 | 3300 | 1.3502 | 0.8867 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
