<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
pratyush_whisper_tiny_finetune_teacher_babble_noise_libri360_epochs_50_batch_8_try2
This model is a fine-tuned version of openai/whisper-tiny.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3760
- Wer: 16.4737
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: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 512
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.872 | 5.98 | 150 | 0.5003 | 22.0157 |
| 0.2818 | 11.98 | 300 | 0.3427 | 17.1317 |
| 0.1575 | 17.98 | 450 | 0.3189 | 16.1630 |
| 0.1037 | 23.98 | 600 | 0.3261 | 16.0472 |
| 0.0732 | 29.98 | 750 | 0.3416 | 16.1354 |
| 0.0547 | 35.98 | 900 | 0.3575 | 16.2237 |
| 0.0439 | 41.98 | 1050 | 0.3695 | 16.3854 |
| 0.0381 | 47.98 | 1200 | 0.3760 | 16.4737 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.0
- Tokenizers 0.11.0
