flan-t5-small_twon-debug-generative-agent

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: 3.8511
• Rouge1: 9.4574
• Rouge2: 3.2143
• Rougel: 8.6333
• Rougelsum: 8.8052
• Gen Len: 18.99

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: 4e-05
• train_batch_size: 24
• eval_batch_size: 24
• 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
4.2488	1.19	100	3.9027	9.2555	2.9689	8.4655	8.5977	18.988
4.0882	2.38	200	3.8511	9.4574	3.2143	8.6333	8.8052	18.99
4.021	3.57	300	3.8275	9.132	3.1204	8.3109	8.5109	18.994
4.0126	4.76	400	3.8172	9.4354	3.1824	8.5889	8.7927	18.996

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.3
• Tokenizers 0.13.3