metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output_model_Eubookshop_data_base_model
results: []
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: 0.0984
- Wer: 6.9714
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: 50000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4285 | 0.3303 | 10000 | 0.3226 | 19.8348 |
| 0.2387 | 0.6607 | 20000 | 0.2267 | 15.0062 |
| 0.1494 | 0.9910 | 30000 | 0.1607 | 10.8144 |
| 0.0689 | 1.3214 | 40000 | 0.1257 | 8.2848 |
| 0.0588 | 1.6517 | 50000 | 0.0984 | 6.9714 |
Framework versions
- Transformers 5.2.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2