finetuned_t5_summarize

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2034
• Rouge1: 0.8046
• Rouge2: 0.7768
• Rougel: 0.8018
• Rougelsum: 0.8018
• Gen Len: 16.8404

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
No log	1.0	301	0.2652	0.7765	0.7432	0.7726	0.7728	16.7722
0.3923	2.0	602	0.2248	0.7967	0.768	0.7944	0.7943	16.7797
0.3923	3.0	903	0.2074	0.8027	0.775	0.7997	0.7996	16.8105
0.2356	4.0	1204	0.2034	0.8046	0.7768	0.8018	0.8018	16.8404

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2