metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: torgo_tiny_finetune_F03
results: []
torgo_tiny_finetune_F03
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: 0.0640
- Wer: 15.0892
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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6368 | 0.85 | 500 | 0.1136 | 7.8189 |
| 0.11 | 1.69 | 1000 | 0.0872 | 9.1907 |
| 0.0969 | 2.54 | 1500 | 0.0843 | 9.3278 |
| 0.0679 | 3.39 | 2000 | 0.0980 | 7.1331 |
| 0.053 | 4.24 | 2500 | 0.0756 | 7.1331 |
| 0.0361 | 5.08 | 3000 | 0.0637 | 9.1907 |
| 0.0278 | 5.93 | 3500 | 0.0491 | 8.3676 |
| 0.0233 | 6.78 | 4000 | 0.0446 | 27.8464 |
| 0.0148 | 7.63 | 4500 | 0.0403 | 12.8944 |
| 0.0149 | 8.47 | 5000 | 0.0748 | 28.6694 |
| 0.0105 | 9.32 | 5500 | 0.0631 | 17.6955 |
| 0.0087 | 10.17 | 6000 | 0.0619 | 12.0713 |
| 0.0075 | 11.02 | 6500 | 0.0525 | 18.6557 |
| 0.004 | 11.86 | 7000 | 0.0588 | 19.7531 |
| 0.0039 | 12.71 | 7500 | 0.0618 | 24.5542 |
| 0.0029 | 13.56 | 8000 | 0.0915 | 13.7174 |
| 0.0022 | 14.41 | 8500 | 0.0638 | 20.4390 |
| 0.0013 | 15.25 | 9000 | 0.0946 | 14.5405 |
| 0.0004 | 16.1 | 9500 | 0.0746 | 15.7750 |
| 0.0003 | 16.95 | 10000 | 0.0633 | 11.2483 |
| 0.0001 | 17.8 | 10500 | 0.0645 | 12.7572 |
| 0.0001 | 18.64 | 11000 | 0.0631 | 14.4033 |
| 0.0001 | 19.49 | 11500 | 0.0640 | 15.0892 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3