README.md

metadata

license: apache-2.0
base_model: Praveen76/FinetunedT5Model
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: T5Model_for_Ecommerce
    results: []

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: 0.9105
• Rouge1: 0.0062
• Rouge2: 0.0053
• Rougel: 0.0062
• Rougelsum: 0.0062
• Gen Len: 0.3519

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	4.2167	0.2664	0.1402	0.2238	0.2239	19.0
No log	2.0	54	1.1783	0.0312	0.0185	0.0286	0.0286	2.1111
No log	3.0	81	1.0640	0.0	0.0	0.0	0.0	0.0
No log	4.0	108	1.0479	0.0	0.0	0.0	0.0	0.0
No log	5.0	135	1.0328	0.0	0.0	0.0	0.0	0.0
No log	6.0	162	1.0108	0.0	0.0	0.0	0.0	0.0
No log	7.0	189	0.9912	0.0	0.0	0.0	0.0	0.0
No log	8.0	216	0.9709	0.0	0.0	0.0	0.0	0.0
No log	9.0	243	0.9502	0.0	0.0	0.0	0.0	0.0
No log	10.0	270	0.9366	0.0	0.0	0.0	0.0	0.0
No log	11.0	297	0.9275	0.0	0.0	0.0	0.0	0.0
No log	12.0	324	0.9206	0.0	0.0	0.0	0.0	0.0
No log	13.0	351	0.9152	0.0062	0.0053	0.0062	0.0062	0.3519
No log	14.0	378	0.9118	0.0062	0.0053	0.0062	0.0062	0.3519
No log	15.0	405	0.9105	0.0062	0.0053	0.0062	0.0062	0.3519

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1