EN_mt5-small_15_spider – AI Model by e22vvb | AlphaNeural AI

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EN_mt5-small_15_spider

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EN_mt5-small_15_spider

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3864
Rouge2 Precision: 0.4111
Rouge2 Recall: 0.2576
Rouge2 Fmeasure: 0.2936

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: 16
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	438	3.8361	0.0002	0.0006	0.0002
16.5932	2.0	876	1.5381	0.0031	0.0011	0.0016
2.0998	3.0	1314	0.7401	0.0941	0.0521	0.0571
1.1309	4.0	1752	0.4827	0.2672	0.1628	0.1794
0.5166	5.0	2190	0.4313	0.3065	0.192	0.212
0.3883	6.0	2628	0.4112	0.3388	0.2187	0.2415
0.3299	7.0	3066	0.3975	0.376	0.2326	0.262
0.293	8.0	3504	0.3896	0.3758	0.245	0.271
0.293	9.0	3942	0.3914	0.3954	0.2501	0.2837
0.2687	10.0	4380	0.3863	0.3947	0.2529	0.285
0.2537	11.0	4818	0.3877	0.3959	0.2539	0.2861
0.2431	12.0	5256	0.3860	0.4098	0.2544	0.2908
0.2331	13.0	5694	0.3872	0.4031	0.2559	0.2906
0.23	14.0	6132	0.3862	0.4082	0.2575	0.2928
0.225	15.0	6570	0.3864	0.4111	0.2576	0.2936

Framework versions

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