Goutham-Vignesh/flan-t5-tuned-zolvit

flan-t5-gov-report-sum

This model is a fine-tuned version of google/flan-t5-base on the govreport-summarization dataset. It achieves the following results on the evaluation set:

• Loss: 2.2385
• Rouge1: 5.8729
• Rouge2: 3.0763
• Rougel: 5.1016
• Rougelsum: 5.646
• Gen Len: 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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5801	1.0	2190	2.3211	5.6226	2.9142	4.9535	5.417	19.0
2.5125	2.0	4380	2.2748	5.7982	3.0365	5.0726	5.5837	19.0
2.453	3.0	6570	2.2545	5.8744	3.0997	5.1196	5.6524	19.0
2.436	4.0	8760	2.2430	5.8669	3.0525	5.0849	5.631	19.0
2.4144	5.0	10950	2.2385	5.8729	3.0763	5.1016	5.646	19.0

Framework versions

• Transformers 4.26.1
• Pytorch 1.11.0+cu102
• Datasets 2.9.0
• Tokenizers 0.13.2