metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: torgo_tiny_finetune_M04
results: []
torgo_tiny_finetune_M04
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: 0.3396
- Wer: 32.3430
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 |
|---|---|---|---|---|
| 0.6227 | 0.84 | 500 | 0.3265 | 33.1070 |
| 0.1027 | 1.69 | 1000 | 0.3360 | 32.6825 |
| 0.1001 | 2.53 | 1500 | 0.4014 | 60.0170 |
| 0.0686 | 3.37 | 2000 | 0.3220 | 40.3226 |
| 0.048 | 4.22 | 2500 | 0.3146 | 31.3243 |
| 0.0366 | 5.06 | 3000 | 0.3477 | 57.8098 |
| 0.0262 | 5.9 | 3500 | 0.3054 | 21.8166 |
| 0.0237 | 6.75 | 4000 | 0.3007 | 43.4635 |
| 0.0153 | 7.59 | 4500 | 0.2969 | 24.8727 |
| 0.0149 | 8.43 | 5000 | 0.3628 | 52.8014 |
| 0.0112 | 9.27 | 5500 | 0.3670 | 29.7963 |
| 0.0096 | 10.12 | 6000 | 0.3354 | 24.5331 |
| 0.007 | 10.96 | 6500 | 0.3464 | 57.0458 |
| 0.0052 | 11.8 | 7000 | 0.3246 | 30.1358 |
| 0.0037 | 12.65 | 7500 | 0.3677 | 50.7640 |
| 0.0021 | 13.49 | 8000 | 0.3359 | 34.0407 |
| 0.002 | 14.33 | 8500 | 0.3406 | 41.7657 |
| 0.0011 | 15.18 | 9000 | 0.3296 | 36.3328 |
| 0.0004 | 16.02 | 9500 | 0.3359 | 33.5314 |
| 0.0 | 16.86 | 10000 | 0.3381 | 40.2377 |
| 0.0003 | 17.71 | 10500 | 0.3388 | 35.1443 |
| 0.0 | 18.55 | 11000 | 0.3410 | 33.4465 |
| 0.0001 | 19.39 | 11500 | 0.3396 | 32.3430 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.7
- Tokenizers 0.13.3