SUMMARIZING_STRESSED_MODEL

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3729
• Rouge1: 0.3318
• Rouge2: 0.0976
• Rougel: 0.2295
• Rougelsum: 0.229
• Gen Len: 68.6667

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: 16
• eval_batch_size: 16
• 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
No log	1.0	3	2.5488	0.3021	0.0902	0.2175	0.2163	74.1429
No log	2.0	6	2.3729	0.3318	0.0976	0.2295	0.229	68.6667

Framework versions

• Transformers 4.27.2
• Pytorch 2.1.0+cu121
• Datasets 2.11.0
• Tokenizers 0.13.3