pegasus-model3-0810 – AI Model by theojolliffe | AlphaNeural AI

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pegasus-model3-0810

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pegasus-model3-0810

This model is a fine-tuned version of theojolliffe/pegasus-model-3-x25 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0128
Rouge1: 74.5218
Rouge2: 73.9903
Rougel: 74.4946
Rougelsum: 74.7509
Gen Len: 122.9655

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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3663	1.0	547	0.0960	70.3803	65.6296	64.7957	69.7556	122.7241
0.127	2.0	1094	0.0276	74.3121	73.3963	74.026	74.502	122.9655
0.0706	3.0	1641	0.0157	74.4541	73.5817	74.1314	74.5238	122.9655
0.046	4.0	2188	0.0128	74.5218	73.9903	74.4946	74.7509	122.9655

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1