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resultse – AI Model by bhumikak | AlphaNeural AI

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bhumikak/
resultse

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text2text-generation

generated_from_trainer

endpoints_compatible

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resultse

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

Loss: 3.9374
Rouge2 Precision: 0.3333
Rouge2 Recall: 0.0476
Rouge2 Fmeasure: 0.0833

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 50
label_smoothing_factor: 0.1

Training results

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1