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summarisee-finetuned-amazon-en-es – AI Model by kyanmahajan | AlphaNeural AI

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kyanmahajan/
summarisee-finetuned-amazon-en-es

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text2text-generation

generated_from_trainer

facebook/bart-large-cnn

endpoints_compatible

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summarisee-finetuned-amazon-en-es

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1558
Rouge1: 0.0637
Rouge2: 0.0202
Rougel: 0.0596
Rougelsum: 0.0613

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: 5.6e-05
train_batch_size: 16
eval_batch_size: 16
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: 1

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1