---
library_name: transformers
language:
- ps
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
datasets:
- ihanif/common_voice_ps_20_0
model-index:
- name: Whisper base Ps - ZFA
  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 Ps - ZFA

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 20.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6906

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.122         | 0.7418 | 500  | 0.8552          |
| 0.5987        | 1.4837 | 1000 | 0.7422          |
| 0.3821        | 2.2255 | 1500 | 0.7093          |
| 0.1938        | 2.9674 | 2000 | 0.6906          |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.7.0+cu126
- Datasets 4.1.1
- Tokenizers 0.22.0