---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: Whisper-small-Jibbali_lang_ex2
  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-Jibbali_lang_ex2

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0082

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0317        | 1.0   | 225  | 0.0245          |
| 0.0188        | 2.0   | 450  | 0.0147          |
| 0.0065        | 3.0   | 675  | 0.0143          |
| 0.0163        | 4.0   | 900  | 0.0110          |
| 0.0038        | 5.0   | 1125 | 0.0083          |
| 0.0025        | 6.0   | 1350 | 0.0079          |
| 0.0027        | 7.0   | 1575 | 0.0079          |
| 0.0003        | 8.0   | 1800 | 0.0083          |
| 0.0026        | 9.0   | 2025 | 0.0084          |
| 0.0013        | 10.0  | 2250 | 0.0082          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2