---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-base
model-index:
- name: Whisper-base-Ar-MDD
  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-base-Ar-MDD

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2159

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0684        | 1.0   | 546  | 0.2054          |
| 0.0321        | 2.0   | 1092 | 0.2022          |
| 0.0345        | 3.0   | 1638 | 0.1919          |
| 0.0176        | 4.0   | 2184 | 0.1864          |
| 0.0303        | 5.0   | 2730 | 0.1919          |
| 0.0182        | 6.0   | 3276 | 0.1999          |
| 0.0083        | 7.0   | 3822 | 0.2039          |
| 0.008         | 8.0   | 4368 | 0.2056          |
| 0.0028        | 9.0   | 4914 | 0.2153          |
| 0.0022        | 10.0  | 5460 | 0.2159          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2