flan-t5-base-combined

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

• Loss: 1.9756
• Rouge1: 41.6396
• Rouge2: 16.2853
• Rougel: 30.6526
• Rougelsum: 38.3228
• Gen Len: 96.9400

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2075	1.0	5435	2.0439	39.7324	14.7723	29.4479	36.4427	93.9466
2.094	2.0	10870	2.0249	40.3667	15.3038	29.6423	37.1363	96.9290
2.0306	3.0	16305	2.0199	40.6314	15.4077	29.72	37.3677	97.4958

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2