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fine-tune-Pegasus – AI Model by QuickRead | AlphaNeural AI

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QuickRead/
fine-tune-Pegasus

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text2text-generation

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fine-tune-Pegasus

This model is a fine-tuned version of google/pegasus-large on the xsum dataset. It achieves the following results on the evaluation set:

Loss: 2.3242
Rouge1: 17.993
Rouge2: 2.9392
Rougel: 12.313
Rougelsum: 13.3091
Gen Len: 67.0552

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: 6.35e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.16.2
Pytorch 1.10.1
Datasets 1.17.0
Tokenizers 0.10.3