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bart-cnn-samsum-da-finetuned – AI Model by junii7040 | AlphaNeural AI

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junii7040/
bart-cnn-samsum-da-finetuned

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text2text-generation

generated_from_trainer

facebook/bart-large-cnn

endpoints_compatible

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bart-cnn-samsum-da-finetuned

This model is a fine-tuned version of facebook/bart-large-cnn on the samsum 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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0