ALL_mt5-base_15_spider_15_wikiSQL_new – AI Model by e22vvb | AlphaNeural AI

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ALL_mt5-base_15_spider_15_wikiSQL_new

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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ALL_mt5-base_15_spider_15_wikiSQL_new

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0160
Rouge2 Precision: 0.9066
Rouge2 Recall: 0.6077
Rouge2 Fmeasure: 0.6916

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: 19
eval_batch_size: 16
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
0.3243	1.0	1021	0.1423	0.6057	0.3898	0.4466
0.1428	2.0	2042	0.0864	0.7175	0.4822	0.5453
0.1071	3.0	3063	0.0644	0.7701	0.5183	0.5867
0.0845	4.0	4084	0.0517	0.798	0.5398	0.611
0.0723	5.0	5105	0.0417	0.8294	0.5584	0.6336
0.0612	6.0	6126	0.0349	0.8411	0.5623	0.6394
0.0528	7.0	7147	0.0302	0.853	0.5731	0.6514
0.0475	8.0	8168	0.0254	0.8734	0.5842	0.6649
0.0427	9.0	9189	0.0227	0.8855	0.5943	0.6757
0.0398	10.0	10210	0.0208	0.8901	0.5965	0.6787
0.0362	11.0	11231	0.0190	0.8943	0.5986	0.6815
0.0343	12.0	12252	0.0178	0.9024	0.6045	0.6882
0.0329	13.0	13273	0.0170	0.9075	0.6075	0.692
0.0316	14.0	14294	0.0162	0.9081	0.6092	0.6935
0.031	15.0	15315	0.0160	0.9066	0.6077	0.6916

Framework versions

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