<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Whisper Medium Catalan
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 ca dataset. It achieves the following results on the evaluation set:
- Loss: 0.2373
- Wer: 10.2052
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: 2
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|
| 0.3022 | 0.2 | 1000 | 0.3475 | 16.1613 |
| 0.2221 | 0.4 | 2000 | 0.3142 | 13.8036 |
| 0.2635 | 0.6 | 3000 | 0.2802 | 12.5606 |
| 0.2418 | 0.8 | 4000 | 0.2503 | 10.9386 |
| 0.1958 | 1.0 | 5000 | 0.2373 | 10.2052 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
