Whisper Small HACCP - Jason Lee
This model is a fine-tuned version of openai/whisper-small on the Jason Lee 092724 HACCP dataset.
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 0.6965 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.2.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Downloads last month
- 103
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 jasonlee-sf/whisper-haccp
Base model
openai/whisper-small