flan-t5-small-carvia_nlc2cmd_ver2

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

• Loss: 0.1225
• Rouge1: 83.9262
• Rouge2: 59.9956
• Rougel: 83.9262
• Rougelsum: 83.9381
• 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: 8
• eval_batch_size: 8
• 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
0.1152	1.0	1625	0.1225	83.9262	59.9956	83.9262	83.9381	19.0
0.1126	2.0	3250	0.1560	79.3619	51.4444	79.3857	79.3357	19.0
0.1083	3.0	4875	0.1682	80.4274	53.4222	80.4655	80.4167	19.0
0.1066	4.0	6500	0.1785	79.3393	51.3667	79.3524	79.2964	19.0
0.1079	5.0	8125	0.1793	79.3119	51.3222	79.3357	79.2833	19.0

Framework versions

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