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resultsb

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

• Loss: 4.8957
• Rouge2 Precision: 0.2127
• Rouge2 Recall: 0.2605
• Rouge2 Fmeasure: 0.2167

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