Whisper Small Ro - VM5
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4022
- Wer: 20.5014
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2624 | 1.86 | 1000 | 0.3680 | 23.1297 |
| 0.0494 | 3.72 | 2000 | 0.3680 | 21.1803 |
| 0.0086 | 5.59 | 3000 | 0.3935 | 20.9316 |
| 0.0043 | 7.45 | 4000 | 0.4022 | 20.5014 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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Base model
openai/whisper-small