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training_output – AI Model by joyvee | AlphaNeural AI | AlphaNeural AI

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training_output

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openai/whisper-large-v3

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training_output

This model is a fine-tuned version of openai/whisper-large-v3 on an unknown 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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
training_steps: 3000
mixed_precision_training: Native AMP

Framework versions

PEFT 0.14.0
Transformers 4.44.0
Pytorch 2.4.0+cu118
Datasets 3.6.0
Tokenizers 0.19.1