T5Training – AI Model by vjt | AlphaNeural AI

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T5Training

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text2text-generation

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text-generation-inference

endpoints_compatible

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T5Training

This model is a fine-tuned version of t5-base on the wikisql dataset. It achieves the following results on the evaluation set:

Loss: 0.0341
Rouge2 Precision: 0.9368
Rouge2 Recall: 0.8687
Rouge2 Fmeasure: 0.896

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.0225	1.0	4049	0.0355	0.9325	0.8665	0.8929
0.0182	2.0	8098	0.0359	0.9364	0.8682	0.8956
0.016	3.0	12147	0.0354	0.9353	0.868	0.895
0.0156	4.0	16196	0.0351	0.9366	0.8684	0.8958
0.0177	5.0	20245	0.0341	0.9368	0.8687	0.896

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2