sumukhshadakshari/whisper-finetuned-all-3
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: 0.0779
- Wer: 3.5377
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 |
|---|---|---|---|---|
| 0.1817 | 1.0 | 478 | 0.1959 | 11.3506 |
| 0.0535 | 2.0 | 956 | 0.0927 | 4.2002 |
| 0.0167 | 3.0 | 1434 | 0.0813 | 3.7055 |
| 0.0093 | 4.0 | 1912 | 0.0784 | 3.6304 |
| 0.0029 | 5.0 | 2390 | 0.0779 | 3.5377 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
openai/whisper-tiny