transformers pytorch tensorboard whisper automatic-speech-recognition small-np-nw-all generated_from_trainer np dataset:small-np-nw-all license:apache-2.0 endpoints_compatible region:us
---
language:
- np
license: apache-2.0
tags:
- small-np-nw-all
- generated_from_trainer
datasets:
- small-np-nw-all
model-index:
- name: small-np-nw-all
  results: []
---

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# small-np-nw-all

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the small nepali newari dataset large 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000

### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
