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indic-nepali-finetune-colab-test – AI Model by santoshpandey | AlphaNeural AI

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santoshpandey/
indic-nepali-finetune-colab-test

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automatic-speech-recognition

generated_from_trainer

Harveenchadha/vakyansh-wav2vec2-nepali-nem-130

endpoints_compatible

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indic-nepali-finetune-colab-test

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-nepali-nem-130 on the None 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.19.1