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libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-loss-att-take-2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 26.4101
- Wer: 0.2791
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: 16
- eval_batch_size: 4
- 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_ratio: 0.2
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
202.4293 | 0.45 | 200 | 26.7777 | 0.2779 |
197.6471 | 0.9 | 400 | 25.8300 | 0.2760 |
204.8931 | 1.35 | 600 | 25.6774 | 0.2747 |
193.3182 | 1.79 | 800 | 25.6049 | 0.2737 |
205.2241 | 2.24 | 1000 | 25.5552 | 0.2739 |
186.0407 | 2.69 | 1200 | 25.4364 | 0.2737 |
191.7055 | 3.14 | 1400 | 25.7949 | 0.2764 |
185.0721 | 3.59 | 1600 | 26.1202 | 0.2753 |
198.8579 | 4.04 | 1800 | 25.8496 | 0.2763 |
185.7877 | 4.48 | 2000 | 27.0753 | 0.2731 |
194.9394 | 4.93 | 2200 | 25.6920 | 0.2775 |
188.2296 | 5.38 | 2400 | 25.7362 | 0.2742 |
188.0202 | 5.83 | 2600 | 25.9170 | 0.2755 |
191.5541 | 6.28 | 2800 | 26.8590 | 0.2771 |
198.2817 | 6.73 | 3000 | 26.4101 | 0.2791 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.0
- Tokenizers 0.11.0