---
library_name: transformers
language:
- ne
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- kiranpantha/OpenSLR54-Whisper
model-index:
- name: Whisper Medium Nepali - Kiran Pantha
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Medium Nepali - Kiran Pantha

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the OpenSLR54 dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.SGD and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cxx11.abi
- Datasets 3.2.0
- Tokenizers 0.21.0