whisper-large-v3-finetuned-2
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8292
- Wer: 29.2595
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-09
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0224 | 1.0 | 7532 | 1.8944 | 30.6810 |
| 2.932 | 2.0 | 15064 | 1.8575 | 30.1652 |
| 1.6702 | 3.0 | 22596 | 1.8380 | 29.3775 |
| 1.9191 | 4.0 | 30128 | 1.8304 | 29.2800 |
| 2.155 | 5.0 | 37660 | 1.8292 | 29.2595 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
openai/whisper-large-v3