flan-t5-small-finetuned-xsum

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

• Loss: nan
• Rouge1: 1.2294
• Rouge2: 0.0439
• Rougel: 1.149
• Rougelsum: 1.1538
• Gen Len: 14.526

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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	625	nan	1.2294	0.0439	1.149	1.1538	14.526
0.0	2.0	1250	nan	1.2294	0.0439	1.149	1.1538	14.526
0.0	3.0	1875	nan	1.2294	0.0439	1.149	1.1538	14.526
0.0	4.0	2500	nan	1.2294	0.0439	1.149	1.1538	14.526
0.0	5.0	3125	nan	1.2294	0.0439	1.149	1.1538	14.526

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Tokenizers 0.15.1