---
license: apache-2.0
base_model: Youssef1234/whisper-base-en-early-stopping
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base-en-native
  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. -->

# whisper-base-en-native

This model is a fine-tuned version of [Youssef1234/whisper-base-en-early-stopping](https://huggingface.co/Youssef1234/whisper-base-en-early-stopping) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3798
- Wer: 16.5974

## 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
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2029        | 1.0   | 774  | 0.3349          | 16.2199 |
| 0.0968        | 2.0   | 1548 | 0.3634          | 16.7856 |
| 0.0419        | 3.0   | 2322 | 0.3798          | 16.5974 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1