metadata

language:
  - hi
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: Whisper Large v3 Trained on Hindi
    results: []

Whisper Large v3 Trained on Hindi

This model is a fine-tuned version of openai/whisper-large-v3 on the Common Voice 17.0 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: 4
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 2500
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.1
Pytorch 1.11.0+cu102
Datasets 2.19.1
Tokenizers 0.19.1