metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-gabriel_fold_6
results: []
whisper-medium-gabriel_fold_6
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2775
- Wer: 10.3823
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
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7001 | 1.0 | 169 | 0.2615 | 11.8744 |
| 0.1175 | 2.0 | 338 | 0.2532 | 11.4081 |
| 0.0423 | 3.0 | 507 | 0.2481 | 10.8486 |
| 0.0147 | 4.0 | 676 | 0.2615 | 10.8486 |
| 0.0042 | 5.0 | 845 | 0.2720 | 10.6310 |
| 0.0014 | 6.0 | 1014 | 0.2775 | 10.3823 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3