metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-deltamon
results: []
whisper-tiny-deltamon
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0007
- Wer: 0.0
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.0453 | 5.0 | 10 | 5.1551 | 100.0 |
| 2.8084 | 10.0 | 20 | 0.9061 | 13.3333 |
| 0.3357 | 15.0 | 30 | 0.0096 | 0.0 |
| 0.0031 | 20.0 | 40 | 0.0007 | 0.0 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.1.1+cu118
- Datasets 2.18.0
- Tokenizers 0.13.3