bhattasp/whisper-finetuned-all-3_v2v
This model is a fine-tuned version of openai/whisper-tiny on the AtCO2_UWB, Atcosim, Bial dataset. It achieves the following results on the evaluation set:
- Loss: 0.4194
- Wer: 36.3094
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5723 | 1.0 | 1342 | 0.5851 | 50.4899 |
| 0.3731 | 2.0 | 2684 | 0.4669 | 37.5358 |
| 0.2662 | 3.0 | 4026 | 0.4322 | 35.8245 |
| 0.2041 | 4.0 | 5368 | 0.4189 | 36.0145 |
| 0.1957 | 5.0 | 6710 | 0.4194 | 36.3094 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
openai/whisper-tiny