---
library_name: peft
tags:
- generated_from_trainer
base_model: Wsassi/whisper-small-minds14
metrics:
- wer
model-index:
- name: whisper-small-minds14
  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-minds14

This model is a fine-tuned version of [Wsassi/whisper-small-minds14](https://huggingface.co/Wsassi/whisper-small-minds14) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2677
- Wer: 6.4516

## 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
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.2898        | 12.5  | 25   | 2.8612          | 3.2258 |
| 2.0737        | 25.0  | 50   | 2.1099          | 3.2258 |
| 1.4161        | 37.5  | 75   | 1.6899          | 3.2258 |
| 1.2353        | 50.0  | 100  | 1.4505          | 3.2258 |
| 1.1164        | 62.5  | 125  | 1.3412          | 3.2258 |
| 1.1138        | 75.0  | 150  | 1.2952          | 6.4516 |
| 0.9938        | 87.5  | 175  | 1.2741          | 6.4516 |
| 1.0179        | 100.0 | 200  | 1.2677          | 6.4516 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.19.2
- Tokenizers 0.15.1