---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Swedish-Fine-Tuned-Whisper-Model
  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. -->

# Swedish-Fine-Tuned-Whisper-Model

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0729
- Wer: 156.0742

## 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: 8
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4797        | 1.6   | 200  | 0.9948          | 119.6292 |
| 0.1806        | 3.2   | 400  | 0.9994          | 151.1509 |
| 0.1107        | 4.8   | 600  | 1.0260          | 139.2583 |
| 0.0582        | 6.4   | 800  | 1.0565          | 129.5396 |
| 0.0416        | 8.0   | 1000 | 1.0729          | 156.0742 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2