ALL_mt5-base_15_wikiSQL_sch – AI Model by e22vvb | AlphaNeural AI

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e22vvb/
ALL_mt5-base_15_wikiSQL_sch

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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ALL_mt5-base_15_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: 0.0585
Rouge2 Precision: 0.8836
Rouge2 Recall: 0.8038
Rouge2 Fmeasure: 0.8358

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: 15
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	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
0.0796	1.0	8637	0.0675	0.8604	0.78	0.8122
0.0683	2.0	17274	0.0617	0.8681	0.7878	0.8199
0.0587	3.0	25911	0.0593	0.8733	0.7924	0.8248
0.0527	4.0	34548	0.0579	0.8776	0.795	0.8282
0.0478	5.0	43185	0.0573	0.8788	0.7981	0.8305
0.0453	6.0	51822	0.0571	0.8806	0.7999	0.8323
0.043	7.0	60459	0.0571	0.8816	0.8008	0.8333
0.0399	8.0	69096	0.0570	0.881	0.8006	0.8329
0.0389	9.0	77733	0.0573	0.8823	0.8019	0.8343
0.0363	10.0	86370	0.0573	0.8828	0.8025	0.8347
0.0366	11.0	95007	0.0580	0.8835	0.8028	0.8352
0.0333	12.0	103644	0.0579	0.8836	0.8032	0.8355
0.0325	13.0	112281	0.0581	0.8833	0.8036	0.8356
0.0327	14.0	120918	0.0585	0.8839	0.8039	0.836
0.0306	15.0	129555	0.0585	0.8836	0.8038	0.8358

Framework versions

Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.1