pegasus-model3-3110

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: 0.1269
• Rouge1: 72.1367
• Rouge2: 65.5268
• Rougel: 65.3716
• Rougelsum: 71.2474
• Gen Len: 123.3766

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3788	1.0	1453	0.1890	68.8116	60.1635	61.4549	67.7849	122.4805
0.2309	2.0	2906	0.1269	72.1367	65.5268	65.3716	71.2474	123.3766

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1