sumukhshadakshari/whisper-finetuned-atco2_uwb
This model is a fine-tuned version of openai/whisper-tiny on the AtCO2_UWB dataset. It achieves the following results on the evaluation set:
- Loss: 0.5665
- Wer: 26.4179
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 |
|---|---|---|---|---|
| 0.7865 | 1.0 | 609 | 0.8728 | 52.9827 |
| 0.5848 | 2.0 | 1218 | 0.6320 | 34.8257 |
| 0.4175 | 3.0 | 1827 | 0.5784 | 29.2477 |
| 0.2928 | 4.0 | 2436 | 0.5656 | 27.7268 |
| 0.241 | 5.0 | 3045 | 0.5665 | 26.4179 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for sumukhshadakshari/whisper-finetuned-atco2_uwb
Base model
openai/whisper-tiny