---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-for-maltese
  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-for-maltese

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: 3.3026
- Wer: 120.5033

## 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2456        | 3.57  | 500  | 2.5059          | 99.2583  |
| 1.346         | 7.14  | 1000 | 2.4891          | 421.1391 |
| 0.7287        | 10.71 | 1500 | 2.7307          | 121.1921 |
| 0.3432        | 14.29 | 2000 | 2.9824          | 131.7086 |
| 0.2834        | 17.86 | 2500 | 3.1282          | 122.0397 |
| 0.2239        | 21.43 | 3000 | 3.2050          | 113.4040 |
| 0.1978        | 25.0  | 3500 | 3.2739          | 118.5695 |
| 0.1476        | 28.57 | 4000 | 3.3026          | 120.5033 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3