LLM_Teached_PEGASUS_CNNDM

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

• Loss: 1.8217
• Rouge1: 0.4508
• Rouge2: 0.1963
• Rougel: 0.332
• Rougelsum: 0.3319
• Gen Len: 48.3173
• Precision: 0.9046
• Recall: 0.9045
• F1: 0.9044

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: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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	Precision	Recall	F1
2.1425	1.0	625	1.8475	0.4458	0.193	0.3283	0.3284	48.1127	0.9038	0.9037	0.9036
1.9247	2.0	1250	1.8217	0.4508	0.1963	0.332	0.3319	48.3173	0.9046	0.9045	0.9044

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.0