ALL_mt5-base_15_wikiSQL_no_sch – AI Model by e22vvb | AlphaNeural AI

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e22vvb/
ALL_mt5-base_15_wikiSQL_no_sch

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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ALL_mt5-base_15_wikiSQL_no_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: 0.1014
Rouge2 Precision: 0.774
Rouge2 Recall: 0.7029
Rouge2 Fmeasure: 0.731

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
0.1507	1.0	8637	0.1284	0.7172	0.6444	0.673
0.1214	2.0	17274	0.1125	0.7391	0.6666	0.6954
0.1049	3.0	25911	0.1070	0.7514	0.6775	0.7069
0.0951	4.0	34548	0.1035	0.7558	0.6832	0.712
0.0893	5.0	43185	0.1019	0.7627	0.6903	0.7189
0.0854	6.0	51822	0.1010	0.766	0.6933	0.7222
0.0794	7.0	60459	0.1001	0.7672	0.6951	0.7237
0.0719	8.0	69096	0.0999	0.7703	0.698	0.7267
0.0713	9.0	77733	0.1002	0.77	0.6983	0.7268
0.067	10.0	86370	0.1004	0.7726	0.7006	0.7291
0.0649	11.0	95007	0.1005	0.773	0.7017	0.7299
0.0636	12.0	103644	0.1009	0.7733	0.7018	0.7301
0.0614	13.0	112281	0.1009	0.7735	0.7021	0.7303
0.0608	14.0	120918	0.1012	0.7737	0.7028	0.7308
0.06	15.0	129555	0.1014	0.774	0.7029	0.731

Framework versions

Transformers 4.38.2
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.15.1