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libri-alpha-0.75-Temp-1-att-take-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 44.5402
- Wer: 0.1081
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: 0.0002
- 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 |
|---|---|---|---|---|
| 118.8957 | 0.45 | 400 | 46.1043 | 0.1056 |
| 118.7076 | 0.9 | 800 | 44.1911 | 0.1037 |
| 106.9074 | 1.35 | 1200 | 42.3038 | 0.1028 |
| 107.4129 | 1.79 | 1600 | 48.0483 | 0.1030 |
| 106.3615 | 2.24 | 2000 | 60.1421 | 0.1029 |
| 106.3024 | 2.69 | 2400 | 48.8849 | 0.1028 |
| 107.8432 | 3.14 | 2800 | 42.9345 | 0.1072 |
| 107.6928 | 3.59 | 3200 | 44.5402 | 0.1081 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
