ALL_mt5-base_10_wikiSQL_sch – AI Model by NatthawatTung | AlphaNeural AI

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NatthawatTung/
ALL_mt5-base_10_wikiSQL_sch

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text2text-generation

generated_from_trainer

endpoints_compatible

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ALL_mt5-base_10_wikiSQL_sch

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

Loss: 0.0566
Rouge2 Precision: 0.8825
Rouge2 Recall: 0.802
Rouge2 Fmeasure: 0.8343

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: 15
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.0789	1.0	8637	0.0678	0.859	0.7788	0.8103
0.0683	2.0	17274	0.0613	0.8688	0.7867	0.8196
0.0587	3.0	25911	0.0595	0.8726	0.7917	0.8241
0.0546	4.0	34548	0.0578	0.8771	0.7957	0.8284
0.0499	5.0	43185	0.0572	0.8793	0.7981	0.8308
0.0484	6.0	51822	0.0568	0.8797	0.7992	0.8315
0.0447	7.0	60459	0.0565	0.8809	0.8003	0.8326
0.0415	8.0	69096	0.0565	0.882	0.8013	0.8337
0.042	9.0	77733	0.0564	0.8822	0.8019	0.8341
0.0407	10.0	86370	0.0566	0.8825	0.802	0.8343

Framework versions

Transformers 4.26.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.13.3