metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small superU
results: []
Whisper Small superU
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2716
- Wer: 96.2441
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 50.0 | 50 | 3.7169 | 94.3662 |
| 0.0 | 100.0 | 100 | 3.7773 | 102.3474 |
| 0.0 | 150.0 | 150 | 3.8105 | 102.3474 |
| 0.0 | 200.0 | 200 | 3.9007 | 101.8779 |
| 0.0028 | 250.0 | 250 | 3.2200 | 90.6103 |
| 0.0 | 300.0 | 300 | 3.1754 | 93.8967 |
| 0.0 | 350.0 | 350 | 3.1945 | 96.2441 |
| 0.0 | 400.0 | 400 | 3.2104 | 96.2441 |
| 0.0 | 450.0 | 450 | 3.2225 | 96.2441 |
| 0.0 | 500.0 | 500 | 3.2327 | 96.2441 |
| 0.0 | 550.0 | 550 | 3.2437 | 96.2441 |
| 0.0 | 600.0 | 600 | 3.2501 | 96.2441 |
| 0.0 | 650.0 | 650 | 3.2550 | 96.2441 |
| 0.0 | 700.0 | 700 | 3.2601 | 96.2441 |
| 0.0 | 750.0 | 750 | 3.2634 | 96.2441 |
| 0.0 | 800.0 | 800 | 3.2663 | 96.2441 |
| 0.0 | 850.0 | 850 | 3.2691 | 96.2441 |
| 0.0 | 900.0 | 900 | 3.2717 | 96.2441 |
| 0.0 | 950.0 | 950 | 3.2719 | 96.2441 |
| 0.0 | 1000.0 | 1000 | 3.2716 | 96.2441 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1