---
license: mit
base_model: distil-whisper/distil-medium.en
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distil-medium.en-ft-children-with-sli
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distil-medium.en-ft-children-with-sli

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: 0.0456
- Accuracy: 0.9960
- F1: 0.9958
- Precision: 0.9968
- Recall: 0.9949

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.0001        | 1.0   | 504  | 0.2825          | 0.9643   | 0.9619 | 0.9722    | 0.9545 |
| 0.0009        | 2.0   | 1008 | 0.0834          | 0.9881   | 0.9875 | 0.9884    | 0.9866 |
| 0.0002        | 3.0   | 1512 | 0.0442          | 0.9921   | 0.9917 | 0.9935    | 0.9899 |
| 0.0001        | 4.0   | 2016 | 0.1658          | 0.9762   | 0.9751 | 0.9736    | 0.9768 |
| 0.0           | 5.0   | 2520 | 0.0390          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
| 0.0           | 6.0   | 3024 | 0.0420          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
| 0.0           | 7.0   | 3528 | 0.0436          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
| 0.0           | 8.0   | 4032 | 0.0446          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
| 0.0           | 9.0   | 4536 | 0.0452          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |
| 0.0           | 10.0  | 5040 | 0.0456          | 0.9960   | 0.9958 | 0.9968    | 0.9949 |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1