product_description_generation – AI Model by yash261 | AlphaNeural AI

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yash261/
product_description_generation

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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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