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libri-alpha-0.25-Temp-1-att
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 41.4611
- Wer: 0.1002
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: 2e-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_ratio: 0.2
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 115.5029 | 0.45 | 400 | 41.6672 | 0.1012 |
| 127.311 | 0.9 | 800 | 40.5683 | 0.1009 |
| 118.505 | 1.35 | 1200 | 41.3756 | 0.1000 |
| 116.651 | 1.79 | 1600 | 41.1326 | 0.0994 |
| 121.336 | 2.24 | 2000 | 40.8370 | 0.0996 |
| 121.9217 | 2.69 | 2400 | 41.6449 | 0.0996 |
| 123.789 | 3.14 | 2800 | 39.4157 | 0.1003 |
| 120.0042 | 3.59 | 3200 | 42.2503 | 0.0997 |
| 125.504 | 4.04 | 3600 | 41.4611 | 0.1002 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
