---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-base.en
  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

This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0027
- Wer: 2.0414

## 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
- training_steps: 3500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3217        | 1.62  | 500  | 0.2442          | 10.2872 |
| 0.0874        | 3.25  | 1000 | 0.0774          | 5.5339  |
| 0.0459        | 4.87  | 1500 | 0.0268          | 3.3624  |
| 0.012         | 6.49  | 2000 | 0.0094          | 2.7119  |
| 0.0041        | 8.12  | 2500 | 0.0041          | 2.1115  |
| 0.0035        | 9.74  | 3000 | 0.0030          | 2.1315  |
| 0.0036        | 11.36 | 3500 | 0.0027          | 2.0414  |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2