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whispeer – AI Model by HariprasathSB | AlphaNeural AI

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HariprasathSB/
whispeer

like

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automatic-speech-recognition

generated_from_trainer

vasista22/whisper-tamil-medium

endpoints_compatible

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whispeer

This model is a fine-tuned version of vasista22/whisper-tamil-medium 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: 0.003
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 100
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1