flan-t5-base-AlexWang99

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: 2.1123
• Rouge1: 38.0335
• Rouge2: 13.3555
• Rougel: 28.0303
• Rougelsum: 34.6374
• Gen Len: 99.0657

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: 12
• eval_batch_size: 12
• 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
2.2981	1.0	1087	2.1403	37.9801	13.2974	27.8704	34.4487	100.7330
2.2233	2.0	2174	2.1171	37.5415	12.9975	27.9482	34.1073	95.4997
2.1872	3.0	3261	2.1123	38.0335	13.3555	28.0303	34.6374	99.0657

Framework versions

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