train-test-valid
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2197
- Wer: 73.5930
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 4
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0002 | 23.8095 | 1000 | 1.1097 | 77.0127 |
| 0.0001 | 47.6190 | 2000 | 1.1609 | 74.0991 |
| 0.0001 | 71.4286 | 3000 | 1.1919 | 73.0716 |
| 0.0 | 95.2381 | 4000 | 1.2115 | 73.3783 |
| 0.0 | 119.0476 | 5000 | 1.2197 | 73.5930 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for mmtg/train-test-valid
Base model
openai/whisper-base