Whisper Tiny en - ld76
This model is a fine-tuned version of openai/whisper-tiny on the Minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8795
- Wer Ortho: 0.3577
- Wer: 0.3616
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0006 | 17.54 | 500 | 0.7812 | 0.3419 | 0.3477 |
| 0.0 | 35.09 | 1000 | 0.8306 | 0.3267 | 0.3319 |
| 0.0 | 52.63 | 1500 | 0.8573 | 0.3570 | 0.3610 |
| 0.0 | 70.18 | 2000 | 0.8795 | 0.3577 | 0.3616 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Downloads last month
- 15
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for ld76/whisper-tiny-en
Base model
openai/whisper-tiny