T5Model_for_Ecommerce

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

• Loss: 1.0925
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 0.0

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: 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	4.2405	0.2073	0.0872	0.1748	0.1742	19.0
No log	2.0	54	1.6978	0.0364	0.0169	0.0301	0.0297	2.8148
No log	3.0	81	1.4167	0.0	0.0	0.0	0.0	0.0
No log	4.0	108	1.3413	0.0	0.0	0.0	0.0	0.0
No log	5.0	135	1.2888	0.0	0.0	0.0	0.0	0.0
No log	6.0	162	1.2486	0.0	0.0	0.0	0.0	0.0
No log	7.0	189	1.2120	0.0	0.0	0.0	0.0	0.0
No log	8.0	216	1.1818	0.0	0.0	0.0	0.0	0.0
No log	9.0	243	1.1546	0.0	0.0	0.0	0.0	0.0
No log	10.0	270	1.1346	0.0	0.0	0.0	0.0	0.0
No log	11.0	297	1.1174	0.0	0.0	0.0	0.0	0.0
No log	12.0	324	1.1063	0.0	0.0	0.0	0.0	0.0
No log	13.0	351	1.0991	0.0	0.0	0.0	0.0	0.0
No log	14.0	378	1.0940	0.0	0.0	0.0	0.0	0.0
No log	15.0	405	1.0925	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0