---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-hi
  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-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: 1.1846
- Wer: 100.2053

## 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 2.5   | 10   | 2.4583          | 101.2320 |
| No log        | 5.0   | 20   | 1.9956          | 98.0493  |
| 2.3242        | 7.5   | 30   | 1.5232          | 96.5092  |
| 2.3242        | 10.0  | 40   | 1.1846          | 100.2053 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cpu
- Datasets 2.9.0
- Tokenizers 0.13.2