EN_t5-base_15_spider_baseline_clean – AI Model by e22vvb | AlphaNeural AI

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EN_t5-base_15_spider_baseline_clean

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EN_t5-base_15_spider_baseline_clean

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

Loss: 0.3158
Rouge2 Precision: 0.6026
Rouge2 Recall: 0.3905
Rouge2 Fmeasure: 0.4456

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: 20
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	433	0.2764	0.4829	0.3221	0.362
0.5489	2.0	866	0.2624	0.5422	0.3575	0.4039
0.1758	3.0	1299	0.2637	0.5488	0.3597	0.4074
0.1302	4.0	1732	0.2741	0.5671	0.3731	0.4228
0.1052	5.0	2165	0.2787	0.5736	0.3744	0.4255
0.0876	6.0	2598	0.2848	0.5957	0.3868	0.4403
0.078	7.0	3031	0.2841	0.5962	0.3867	0.4407
0.078	8.0	3464	0.2898	0.5995	0.3873	0.4423
0.0685	9.0	3897	0.2948	0.5961	0.3843	0.4393
0.0627	10.0	4330	0.3045	0.5945	0.3839	0.4385
0.0577	11.0	4763	0.3037	0.6018	0.3858	0.4415
0.0542	12.0	5196	0.3126	0.6034	0.3926	0.4474
0.0513	13.0	5629	0.3127	0.5964	0.3848	0.4395
0.0491	14.0	6062	0.3151	0.5998	0.3883	0.4431
0.0491	15.0	6495	0.3158	0.6026	0.3905	0.4456

Framework versions

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