wav2vec2_hassaniya_model
This model is a fine-tuned version of abscheik/wav2vec2_hassaniya_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0391
- Model Preparation Time: 0.006
- Wer: 57.3061
- Cer: 18.8614
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: 0.0001
- 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
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
---|---|---|---|---|---|---|
0.3625 | 0.9888 | 44 | 0.9335 | 0.006 | 60.2041 | 19.3127 |
0.3419 | 2.0 | 89 | 0.9105 | 0.006 | 58.6122 | 18.9405 |
0.3167 | 2.9888 | 133 | 0.9591 | 0.006 | 58.8980 | 18.9960 |
0.2996 | 4.0 | 178 | 0.9696 | 0.006 | 58.8163 | 19.1147 |
0.2699 | 4.9888 | 222 | 0.9683 | 0.006 | 58.1633 | 18.8534 |
0.2553 | 6.0 | 267 | 1.0324 | 0.006 | 57.5918 | 18.8614 |
0.2574 | 6.9888 | 311 | 1.0255 | 0.006 | 58.0408 | 18.9485 |
0.2333 | 8.0 | 356 | 1.0391 | 0.006 | 57.3061 | 18.8614 |
0.2327 | 8.9888 | 400 | 1.0831 | 0.006 | 57.5510 | 18.9168 |
0.2266 | 9.8876 | 440 | 1.0784 | 0.006 | 57.7551 | 18.9089 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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