Configuration Parsing
Warning:
In adapter_config.json: "peft.task_type" must be a string
Whisper Small ug - binbin123
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3845
- Wer Ortho: 60.7551
- Wer: 56.2793
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: 2e-05
- train_batch_size: 16
- 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_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.272 | 1.9608 | 500 | 0.3845 | 60.7551 | 56.2793 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 1.12.0
- Datasets 3.0.2
- Tokenizers 0.20.1
- Downloads last month
- 10
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
HF Inference deployability: The model has no pipeline_tag.
Model tree for binbin123/whisper-small-dj
Base model
openai/whisper-base