output_model_Eubookshop_data_base_model
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: 0.1452
- Wer: 9.8741
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3769 | 0.1652 | 5000 | 0.4123 | 23.9747 |
| 0.3673 | 0.3303 | 10000 | 0.2692 | 16.3406 |
| 0.2381 | 0.4955 | 15000 | 0.1896 | 12.0630 |
| 0.1612 | 0.6607 | 20000 | 0.1452 | 9.8741 |
Framework versions
- Transformers 5.2.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for Eimhin03/output_model_Eubookshop_data_base_model_old
Base model
openai/whisper-base