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whisper-base-80k-diff-lr – AI Model by amz95 | AlphaNeural AI

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amz95/
whisper-base-80k-diff-lr

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openai/whisper-base

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whisper-base-80k-diff-lr

This model is a fine-tuned version of openai/whisper-base 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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 15000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.43.4
Pytorch 2.7.1+cu126
Datasets 2.20.0
Tokenizers 0.19.1