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BART_rag – AI Model by ibokajordan | AlphaNeural AI

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ibokajordan/
BART_rag

like

0

text2text-generation

generated_from_trainer

vngrs-ai/VBART-XLarge-Summarization

cc-by-nc-sa-4.0

endpoints_compatible

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BART_rag

This model is a fine-tuned version of vngrs-ai/VBART-XLarge-Summarization 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: 3e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1