Whisper Tiny EdAcc
This model is a fine-tuned version of openai/whisper-tiny on the EdAcc dataset. It achieves the following results on the evaluation set:
- Loss: 1.1942
- Wer: 36.2013
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: 5
- training_steps: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
1.3853 | 1.25 | 5 | 1.4819 | 49.0260 |
0.9422 | 2.5 | 10 | 1.2950 | 38.9610 |
1.1025 | 3.75 | 15 | 1.2191 | 38.3117 |
0.894 | 5.0 | 20 | 1.1942 | 36.2013 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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