Whisper base Czech CV
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common_voice_11_0 cs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5394
- Wer: 33.9957
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: 64
- eval_batch_size: 32
- 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 |
| 0.206 |
4.01 |
1000 |
0.4356 |
36.2443 |
| 0.0332 |
8.02 |
2000 |
0.4583 |
34.0509 |
| 0.0074 |
12.03 |
3000 |
0.5119 |
34.4395 |
| 0.005 |
16.04 |
4000 |
0.5394 |
33.9957 |
| 0.0045 |
21.01 |
5000 |
0.5461 |
34.1025 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
