---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whipser-small-hi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whipser-small-hi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5848
- Wer: 302.5

## 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: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer   |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 0.072         | 15.38 | 200  | 0.5236          | 128.5 |
| 0.0005        | 30.77 | 400  | 0.5438          | 216.0 |
| 0.0002        | 46.15 | 600  | 0.5696          | 204.0 |
| 0.0001        | 61.54 | 800  | 0.5810          | 294.5 |
| 0.0001        | 76.92 | 1000 | 0.5848          | 302.5 |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3