---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny.en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-tiny.en

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8196
- Wer: 41.9679

## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6241        | 6.02  | 500  | 0.8196          | 41.9679 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2