model

This model is a fine-tuned version of Falconsai/text_summarization on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.2990
• Rouge1: 0.1186
• Rouge2: 0.0198
• Rougel: 0.094
• Rougelsum: 0.094
• Gen Len: 19.9958

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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.896	1.0	600	3.3871	0.1105	0.0171	0.0874	0.0874	20.0
3.6922	2.0	1200	3.3257	0.116	0.0196	0.0921	0.0921	20.0
3.6451	3.0	1800	3.3037	0.1189	0.0203	0.0947	0.0947	19.9972
3.6179	4.0	2400	3.2990	0.1186	0.0198	0.094	0.094	19.9958

Framework versions

• PEFT 0.10.0
• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2