---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-toi
  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-toi

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: 3.1668
- Wer: 63.5938

## 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: 4
- eval_batch_size: 4
- 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.568         | 1.47  | 500   | 2.1883          | 72.0402 |
| 0.2614        | 2.95  | 1000  | 2.1071          | 67.1034 |
| 0.0811        | 4.42  | 1500  | 2.3456          | 67.5012 |
| 0.0383        | 5.9   | 2000  | 2.4961          | 67.9691 |
| 0.021         | 7.37  | 2500  | 2.6259          | 68.8348 |
| 0.0077        | 8.85  | 3000  | 2.6423          | 66.6823 |
| 0.0046        | 10.32 | 3500  | 2.8497          | 65.9336 |
| 0.0005        | 11.8  | 4000  | 2.8305          | 64.6467 |
| 0.0014        | 13.27 | 4500  | 2.9174          | 66.0739 |
| 0.0003        | 14.75 | 5000  | 2.9358          | 63.2663 |
| 0.0002        | 16.22 | 5500  | 2.9820          | 63.8278 |
| 0.0002        | 17.7  | 6000  | 3.0369          | 64.7403 |
| 0.0001        | 19.17 | 6500  | 3.0641          | 63.3832 |
| 0.0005        | 20.65 | 7000  | 3.0512          | 63.1493 |
| 0.0001        | 22.12 | 7500  | 3.0924          | 63.5002 |
| 0.0001        | 23.6  | 8000  | 3.1215          | 65.0679 |
| 0.0001        | 25.07 | 8500  | 3.1336          | 64.6233 |
| 0.0001        | 26.55 | 9000  | 3.1513          | 63.7108 |
| 0.0001        | 28.02 | 9500  | 3.1620          | 63.5938 |
| 0.0001        | 29.5  | 10000 | 3.1668          | 63.5938 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2