cnn_news_summary_model_trained_on_reduced_data

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: 0.8291
• Rouge1: 0.2053
• Rouge2: 0.1783
• Rougel: 0.1951
• Rougelsum: 0.1951
• Generated Length: 19.0

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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Generated Length
No log	1.0	1	0.8375	0.2053	0.1783	0.1951	0.1951	19.0
No log	2.0	2	0.8318	0.2053	0.1783	0.1951	0.1951	19.0
No log	3.0	3	0.8291	0.2053	0.1783	0.1951	0.1951	19.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1