amar_model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.6180
- Wer: 1.0
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 35.5043 | 1.6667 | 5 | 17.9174 | 1.0 |
| 34.6734 | 3.3333 | 10 | 17.7898 | 1.0 |
| 35.1143 | 5.0 | 15 | 17.5139 | 1.0 |
| 34.9785 | 6.6667 | 20 | 16.9785 | 1.0 |
| 32.6794 | 8.3333 | 25 | 16.0331 | 1.0 |
| 30.3481 | 10.0 | 30 | 14.2935 | 1.0 |
| 26.0362 | 11.6667 | 35 | 11.9324 | 1.0 |
| 22.2761 | 13.3333 | 40 | 9.9843 | 1.0 |
| 17.6623 | 15.0 | 45 | 8.6180 | 1.0 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.1+cpu
- Datasets 3.1.0
- Tokenizers 0.20.1
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Base model
facebook/wav2vec2-xls-r-300m