tamasheq-98
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-arabic on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5880
- Wer: 0.9741
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 |
|---|---|---|---|---|
| 11.747 | 6.0 | 300 | 3.0325 | 1.0 |
| 2.6986 | 12.0 | 600 | 2.2258 | 1.0148 |
| 0.5256 | 18.0 | 900 | 1.7011 | 0.9852 |
| 0.3251 | 24.0 | 1200 | 1.5916 | 0.9667 |
| 0.2744 | 30.0 | 1500 | 1.5880 | 0.9741 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
jonatasgrosman/wav2vec2-large-xlsr-53-arabic