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bart-large-finetuned-parth – AI Model by pkachhad | AlphaNeural AI

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pkachhad/
bart-large-finetuned-parth

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bart-large-finetuned-parth

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: 4.2530
Rouge1: 40.8179
Rouge2: 29.1558
Rougel: 38.4554
Rougelsum: 41.154
Gen Len: 20.0

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: 10
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2