whisper-large-pt
This model is a fine-tuned version of Rafaelrosendo1/whisper-large-pt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2494
- Wer: 23.0283
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-08
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 9000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0038 | 21.4 | 9000 | 0.2494 | 23.0283 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
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