metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Small-TF-TIMIT-FLEUR-Normalizado
results: []
Whisper-Small-TF-TIMIT-FLEUR-Normalizado
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: 0.7395
- Wer: 85.3796
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5923 | 1.27 | 500 | 0.9379 | 98.7612 |
| 0.1823 | 2.54 | 1000 | 0.6721 | 89.3262 |
| 0.0852 | 3.81 | 1500 | 0.6534 | 86.1141 |
| 0.0327 | 5.08 | 2000 | 0.6794 | 84.4019 |
| 0.0106 | 6.35 | 2500 | 0.7170 | 82.5587 |
| 0.0064 | 7.61 | 3000 | 0.7395 | 85.3796 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2