yash261/product_description_generation

product_description_generator

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

• Loss: 4.0241
• Rouge1: 0.1639
• Rouge2: 0.0
• Rougel: 0.1337
• Rougelsum: 0.1357
• Gen Len: 11.4

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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	6	4.2311	0.1365	0.0	0.1103	0.1102	12.1
No log	2.0	12	4.1437	0.1668	0.0	0.1321	0.1332	13.2
No log	3.0	18	4.0572	0.143	0.0	0.1152	0.1152	11.8
No log	4.0	24	4.0241	0.1639	0.0	0.1337	0.1357	11.4

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3