---
library_name: peft
language:
- sr
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
model-index:
- name: Whisper - Serbian Model
  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 - Serbian Model

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1707

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 400
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2354        | 0.0088 | 500  | 0.2467          |
| 0.195         | 0.0176 | 1000 | 0.2312          |
| 0.1977        | 0.0264 | 1500 | 0.2173          |
| 0.178         | 0.0352 | 2000 | 0.2052          |
| 0.1676        | 0.0440 | 2500 | 0.1929          |
| 0.2103        | 0.0529 | 3000 | 0.1852          |
| 0.1675        | 0.0617 | 3500 | 0.1755          |
| 0.1888        | 0.0705 | 4000 | 0.1707          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.0.0
- Tokenizers 0.20.3