error-test

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

• Loss: 0.0649
• Rouge1: 98.8411
• Rouge2: 95.5257
• Rougel: 98.8389
• Rougelsum: 98.8411
• Gen Len: 5.0

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: 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0675	1.0	2500	0.0649	98.8411	95.5257	98.8389	98.8411	5.0

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.0
• Datasets 2.14.5
• Tokenizers 0.13.3