metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base.en
results: []
whisper-base.en
This model is a fine-tuned version of crossdelenna/whisper-base.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Wer: 0.7305
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: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0059 | 1.62 | 500 | 0.0068 | 1.7512 |
| 0.0015 | 3.25 | 1000 | 0.0019 | 0.7906 |
| 0.0009 | 4.87 | 1500 | 0.0007 | 0.8206 |
| 0.0005 | 6.49 | 2000 | 0.0005 | 0.7605 |
| 0.0004 | 8.12 | 2500 | 0.0004 | 0.7805 |
| 0.0004 | 9.74 | 3000 | 0.0003 | 0.7305 |
| 0.0004 | 11.36 | 3500 | 0.0003 | 0.7305 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2