Whisper medium Croatian El Greco
This model is a fine-tuned version of openai/whisper-medium on the google/fleurs hr_hr dataset. It achieves the following results on the evaluation set:
- Loss: 0.3374
- Wer: 14.6133
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: 3e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0106 | 4.61 | 1000 | 0.3374 | 14.6133 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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Dataset used to train emilios/whisper-md-hr
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Evaluation results
- Wer on google/fleurs hr_hrself-reported14.613