base-asr-with-tpbs-cv4
This model is a fine-tuned version of Botnoi/base-asr-with-lm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5538
- Wer: 0.2576
- Cer: 0.0695
- Clean Cer: 0.0599
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Clean Cer |
---|---|---|---|---|---|---|
0.1306 | 26.67 | 400 | 0.4897 | 0.2766 | 0.0733 | 0.0642 |
0.0437 | 53.33 | 800 | 0.4923 | 0.2566 | 0.0685 | 0.0596 |
0.0293 | 80.0 | 1200 | 0.5538 | 0.2576 | 0.0695 | 0.0599 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
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