<!-- 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-99-3
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: 0.3878
- Wer: 0.4994
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.14 | 6.0 | 300 | 0.7370 | 0.7631 |
| 0.3728 | 12.0 | 600 | 0.4338 | 0.5188 |
| 0.1758 | 18.0 | 900 | 0.4342 | 0.5109 |
| 0.1554 | 24.0 | 1200 | 0.4095 | 0.5023 |
| 0.1909 | 30.0 | 1500 | 0.3878 | 0.4994 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
