flan-t5-base-insight1

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: 1.0973
• Rouge1: 19.9416
• Rouge2: 11.0595
• Rougel: 18.2669
• Rougelsum: 18.9114
• 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
1.8224	1.0	172	1.4368	18.9061	9.9663	17.2809	17.9391	19.0
1.552	2.0	344	1.2372	17.5873	9.5234	16.5266	16.807	19.0
1.3182	3.0	516	1.1590	19.8845	10.9343	18.0006	18.9139	19.0
1.2528	4.0	688	1.1116	19.6058	10.6169	17.8829	18.5154	19.0
1.2706	5.0	860	1.0973	19.9416	11.0595	18.2669	18.9114	19.0

Framework versions

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