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whisper_large-v2-Full-SPGIspeech-xs – AI Model by Jungwonchang | AlphaNeural AI

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Jungwonchang/
whisper_large-v2-Full-SPGIspeech-xs

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automatic-speech-recognition

generated_from_trainer

Jungwonchang/spgispeech_xs

openai/whisper-large-v2

endpoints_compatible

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openai/whisper-large-v2, all the parameters updated for 5 epochs

This model is a fine-tuned version of openai/whisper-large-v2 on the 2 hour dataset of SPGIspeech(custom dataset) 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: 16
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: 50
training_steps: 120
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.0