sumukhshadakshari/whisper-finetuned-all-3
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: 0.4488
- Wer: 33.9582
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
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5472 | 0.7452 | 1000 | 0.5452 | 39.6237 |
| 0.3172 | 1.4903 | 2000 | 0.4488 | 33.9582 |
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-all-3
Base model
openai/whisper-tiny