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bart-base-summarization-cnn-48 – AI Model by zbigi | AlphaNeural AI

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zbigi/
bart-base-summarization-cnn-48

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facebook/bart-base

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bart-base-summarization-cnn-48

This model is a fine-tuned version of facebook/bart-base 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: 3e-05
train_batch_size: 4
eval_batch_size: 1
seed: 48
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3