metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: openai/whisper-base
metrics:
- wer
model-index:
- name: train-test-valid
results: []
train-test-valid
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1774
- Wer: 77.8102
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: 4
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1714 | 16.1290 | 1000 | 0.7755 | 83.6835 |
| 0.007 | 32.2581 | 2000 | 1.0282 | 72.9489 |
| 0.0016 | 48.3871 | 3000 | 1.1176 | 76.2460 |
| 0.0008 | 64.5161 | 4000 | 1.1594 | 78.8376 |
| 0.0007 | 80.6452 | 5000 | 1.1774 | 77.8102 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1