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whisper-tiny-testing-vlsp
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4645
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: 0.0015
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8048 | 0.75 | 500 | 1.7186 |
| 1.3355 | 1.49 | 1000 | 1.2997 |
| 1.0754 | 2.24 | 1500 | 1.0643 |
| 0.9159 | 2.99 | 2000 | 0.9093 |
| 0.7865 | 3.74 | 2500 | 0.7922 |
| 0.6821 | 4.48 | 3000 | 0.6957 |
| 0.5834 | 5.23 | 3500 | 0.6211 |
| 0.5332 | 5.98 | 4000 | 0.5502 |
| 0.4639 | 6.73 | 4500 | 0.4976 |
| 0.4124 | 7.47 | 5000 | 0.4645 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.1.0a0+gitcc01568
- Datasets 2.12.0
- Tokenizers 0.13.3
