flan-t5-base-insight0

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: 0.6420
• Rouge1: 44.3716
• Rouge2: 35.6515
• Rougel: 42.8415
• Rougelsum: 43.4265
• Gen Len: 19.0

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: 1
• eval_batch_size: 1
• 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
1.1013	1.0	172	0.8463	43.9339	34.6721	42.7818	42.1925	19.0
0.8014	2.0	344	0.6918	43.9339	34.6721	42.7818	42.1925	19.0
0.6506	3.0	516	0.6697	43.6406	34.0764	41.9795	42.7117	19.0
0.5984	4.0	688	0.6433	45.2785	37.429	43.8208	44.3406	19.0
0.4941	5.0	860	0.6420	44.3716	35.6515	42.8415	43.4265	19.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0