---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distil-medium.en-ft-children-with-sli-final

This model is a fine-tuned version of [distil-whisper/distil-medium.en](https://huggingface.co/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