13123
This model is a fine-tuned version of openai/whisper-base on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.4595
- Cer: 16.7167
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.5184 | 0.1290 | 1000 | 0.5136 | 17.8441 |
| 0.4716 | 0.2581 | 2000 | 0.4829 | 17.0947 |
| 0.4664 | 0.3871 | 3000 | 0.4666 | 16.9219 |
| 0.4575 | 0.5161 | 4000 | 0.4595 | 16.7167 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
openai/whisper-base