whisper-medium-ft-balbus
This model is a fine-tuned version of openai/whisper-medium on the Balbus dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.7451
- Accuracy: 0.465
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 450 | 0.6979 | 0.535 |
| 4.2819 | 2.0 | 900 | 1.1246 | 0.465 |
| 0.8774 | 3.0 | 1350 | 0.7451 | 0.465 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1
- Downloads last month
- 13
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for luigimontaleone/whisper-medium-ft-balbus
Base model
openai/whisper-medium