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dgx1_whisper_base_mozilla_noisy_teacher_distil_epochs_50_batch_16
This model is a fine-tuned version of rohitp1/dgx1_whisper_base_finetune_teacher_babble_noise_mozilla_100_epochs_batch_16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0845
- Wer: 33.7337
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1214 | 4.41 | 150 | 0.5017 | 32.6283 |
| 0.1796 | 8.82 | 300 | 0.7222 | 33.1175 |
| 0.3176 | 13.23 | 450 | 0.8749 | 33.3612 |
| 0.3986 | 17.64 | 600 | 0.9770 | 33.5457 |
| 0.4497 | 22.06 | 750 | 1.0385 | 33.7111 |
| 0.4816 | 26.47 | 900 | 1.0845 | 33.7337 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2
