ALL_bart_15_spider_new2 – AI Model by e22vvb | AlphaNeural AI

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ALL_bart_15_spider_new2

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text2text-generation

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ALL_bart_15_spider_new2

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

Loss: 0.4402
Rouge2 Precision: 0.4522
Rouge2 Recall: 0.3179
Rouge2 Fmeasure: 0.3513

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
0.7693	1.0	647	0.3306	0.3852	0.2571	0.2875
0.166	2.0	1294	0.3361	0.3785	0.2577	0.2858
0.1247	3.0	1941	0.3572	0.4176	0.2801	0.3132
0.0844	4.0	2588	0.3678	0.4189	0.2882	0.32
0.0711	5.0	3235	0.3778	0.4313	0.3021	0.3338
0.0619	6.0	3882	0.3928	0.4335	0.3012	0.3337
0.0474	7.0	4529	0.3987	0.4415	0.3064	0.3395
0.041	8.0	5176	0.4098	0.4289	0.2963	0.3288
0.0371	9.0	5823	0.4180	0.4404	0.3134	0.3447
0.0331	10.0	6470	0.4197	0.4359	0.3055	0.3375
0.0268	11.0	7117	0.4272	0.4406	0.3084	0.3409
0.025	12.0	7764	0.4337	0.4424	0.3105	0.3427
0.0229	13.0	8411	0.4355	0.4383	0.3104	0.3416
0.0198	14.0	9058	0.4391	0.4471	0.3157	0.3481
0.0187	15.0	9705	0.4402	0.4522	0.3179	0.3513

Framework versions

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