T5Model_for_Ecommerce

This model is a fine-tuned version of Praveen76/FinetunedT5Model on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9356
• Rouge1: 0.015
• Rouge2: 0.009
• Rougel: 0.0149
• Rougelsum: 0.0145
• Gen Len: 1.0556

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	27	4.3825	0.2703	0.148	0.232	0.2323	19.0
No log	2.0	54	1.2412	0.0869	0.0516	0.0771	0.0774	5.4537
No log	3.0	81	1.0927	0.0	0.0	0.0	0.0	0.0
No log	4.0	108	1.0757	0.0	0.0	0.0	0.0	0.0
No log	5.0	135	1.0583	0.0	0.0	0.0	0.0	0.0
No log	6.0	162	1.0359	0.0	0.0	0.0	0.0	0.0
No log	7.0	189	1.0157	0.0	0.0	0.0	0.0	0.0
No log	8.0	216	0.9943	0.0	0.0	0.0	0.0	0.0
No log	9.0	243	0.9762	0.0	0.0	0.0	0.0	0.0
No log	10.0	270	0.9624	0.0	0.0	0.0	0.0	0.0
No log	11.0	297	0.9525	0.0	0.0	0.0	0.0	0.0
No log	12.0	324	0.9457	0.0095	0.0059	0.0094	0.0093	0.5278
No log	13.0	351	0.9406	0.012	0.0069	0.0119	0.0115	0.8796
No log	14.0	378	0.9371	0.015	0.009	0.0149	0.0145	1.0556
No log	15.0	405	0.9356	0.015	0.009	0.0149	0.0145	1.0556

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2