metadata

language:
  - ne
license: apache-2.0
base_model: sunilregmi/whisper_small_ne_NP
tags:
  - ne-NP-asr-leaderboard
  - generated_from_trainer
datasets:
  - spktsagar/openslr-nepali-asr-cleaned
model-index:
  - name: whisper-Nepali-ASR Sunil Regmi
    results: []

whisper-Nepali-ASR Sunil Regmi

This model is a fine-tuned version of sunilregmi/whisper_small_ne_NP on the Openslr54 data-cleaned by spktsagar/openslr-nepali-asr-cleaned 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: 0.0001
train_batch_size: 16
eval_batch_size: 16
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: 500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2