metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_final
results: []
whisper_final
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9410
- Wer: 70.3762
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: 4
- 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: 200
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.033 | 2.2026 | 500 | 0.7808 | 70.9248 |
0.0058 | 4.4053 | 1000 | 0.8736 | 71.2047 |
0.0008 | 6.6079 | 1500 | 0.9240 | 70.6337 |
0.0002 | 8.8106 | 2000 | 0.9410 | 70.3762 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1