metadata
license: mit
base_model: distil-whisper/distil-medium.en
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distil-medium.en-ft-children-with-sli-final
results: []
distil-medium.en-ft-children-with-sli-final
This model is a fine-tuned version of distil-whisper/distil-medium.en on the ChildrenSLIDataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0355
- Accuracy: 0.9960
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0002 | 1.0 | 504 | 0.1653 | 0.9762 |
| 0.0011 | 2.0 | 1008 | 0.0079 | 0.9960 |
| 0.0003 | 3.0 | 1512 | 0.0546 | 0.9921 |
| 0.0 | 4.0 | 2016 | 0.0279 | 0.9960 |
| 0.0 | 5.0 | 2520 | 0.0323 | 0.9960 |
| 0.0 | 6.0 | 3024 | 0.0343 | 0.9960 |
| 0.0 | 7.0 | 3528 | 0.0351 | 0.9960 |
| 0.0 | 8.0 | 4032 | 0.0355 | 0.9960 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1