t5-small-finetuned-wikisql – AI Model by e22vvb | AlphaNeural AI

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t5-small-finetuned-wikisql

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text2text-generation

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t5-small-finetuned-wikisql

This model is a fine-tuned version of google/mt5-base on the wikisql dataset. It achieves the following results on the evaluation set:

Loss: 0.0907
Rouge2 Precision: 0.8557
Rouge2 Recall: 0.7786
Rouge2 Fmeasure: 0.8095

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
0.156	1.0	4049	0.1163	0.8283	0.7535	0.7832
0.1218	2.0	8098	0.1007	0.8453	0.7681	0.799
0.1056	3.0	12147	0.0944	0.8522	0.7749	0.8059
0.0967	4.0	16196	0.0921	0.8553	0.7784	0.8093
0.0935	5.0	20245	0.0907	0.8557	0.7786	0.8095

Framework versions

Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.14.7.dev0
Tokenizers 0.13.3