inetuned-summarize-test

This model is a fine-tuned version of minnehwg/inetuned-summarize-test on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8961
• Rouge1: 34.2527
• Rouge2: 14.2278
• Rougel: 24.7229
• Rougelsum: 25.3930

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	250	0.9249	34.2996	13.7194	24.5150	25.1146
0.6471	2.0	500	0.9104	34.1716	14.0356	24.6683	25.1958
0.6471	3.0	750	0.8961	34.2527	14.2278	24.7229	25.3930

Framework versions

• Transformers 4.17.0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2