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output – AI Model by tz3 | AlphaNeural AI

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tz3/
output

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automatic-speech-recognition

generated_from_trainer

openai/whisper-large-v3

endpoints_compatible

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output

This model is a fine-tuned version of openai/whisper-large-v3 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: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
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: 300
training_steps: 2400
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1