flan-t5-base-lable_model_1

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: 0.0517
• Rouge1: 95.1613
• Rouge2: 0.0
• Rougel: 95.1613
• Rougelsum: 95.1613
• Gen Len: 4.3871

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	18	0.0815	95.1613	0.0	95.1613	95.1613	4.3871
No log	2.0	36	0.0740	95.1613	0.0	95.1613	95.1613	4.3871
No log	3.0	54	0.0757	95.1613	0.0	95.1613	95.1613	4.3871
No log	4.0	72	0.0542	95.1613	0.0	95.1613	95.1613	4.3871
No log	5.0	90	0.0517	95.1613	0.0	95.1613	95.1613	4.3871
No log	6.0	108	0.0519	95.1613	0.0	95.1613	95.1613	4.3871
No log	7.0	126	0.0637	95.1613	0.0	95.1613	95.1613	4.3871
No log	8.0	144	0.0688	95.1613	0.0	95.1613	95.1613	4.3871

Framework versions

• Transformers 4.43.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1