metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper63filescheck
results: []
whisper63filescheck
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0638
- Wer: 23.7647
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: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1324 | 14.29 | 100 | 1.0638 | 23.7647 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2