This model is a fine-tuned version of google/flan-t5-base on the MuskumPillerum/General-Knowledge dataset. It achieves the following results on the evaluation set:

Loss: 1.6340
Rouge1: 0.4195
Rouge2: 0.3016
Rougel: 0.3924
Rougelsum: 0.3995

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: 0.0003
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
2.1243	1.0	875	1.7023	0.4106	0.2880	0.3827	0.3899
1.6975	2.0	1750	1.6422	0.4231	0.3026	0.3957	0.4025
1.495	3.0	2625	1.6340	0.4195	0.3016	0.3924	0.3995

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Sarathbabu-Karunanithi/GK_10000

GK_10000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sarathbabu-Karunanithi/
GK_10000