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results – AI Model by mlnha | AlphaNeural AI

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mlnha/
results

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text2text-generation

generated_from_trainer

facebook/bart-large

endpoints_compatible

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results

This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4843
Rouge1: 79.689
Rouge2: 52.3784
Rougel: 79.7235
Rougelsum: 79.6844
Gen Len: 9.736

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1