EN_t5-base_15_spider_nosch_baseline – AI Model by e22vvb | AlphaNeural AI

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EN_t5-base_15_spider_nosch_baseline

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EN_t5-base_15_spider_nosch_baseline

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2701
Rouge2 Precision: 0.6044
Rouge2 Recall: 0.3938
Rouge2 Fmeasure: 0.4489

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: 30
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
No log	1.0	289	0.2711	0.4655	0.3084	0.3448
0.5211	2.0	578	0.2465	0.5176	0.3427	0.3867
0.5211	3.0	867	0.2401	0.5392	0.3538	0.4
0.1603	4.0	1156	0.2421	0.5772	0.3821	0.4311
0.1603	5.0	1445	0.2444	0.5863	0.3871	0.4375
0.1161	6.0	1734	0.2508	0.5846	0.3772	0.4296
0.094	7.0	2023	0.2546	0.5985	0.3945	0.4469
0.094	8.0	2312	0.2559	0.5961	0.3877	0.4414
0.0797	9.0	2601	0.2595	0.596	0.3902	0.4435
0.0797	10.0	2890	0.2625	0.6042	0.3935	0.4484
0.0711	11.0	3179	0.2650	0.5994	0.3881	0.4432
0.0711	12.0	3468	0.2649	0.6047	0.3944	0.4492
0.0647	13.0	3757	0.2680	0.602	0.3914	0.4464
0.061	14.0	4046	0.2696	0.6065	0.3937	0.4491
0.061	15.0	4335	0.2701	0.6044	0.3938	0.4489

Framework versions

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