finetuned-robertuito-base-cased-V-P-G – AI Model by JosePezantes | AlphaNeural AI

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JosePezantes/
finetuned-robertuito-base-cased-V-P-G

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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robertuito-base-cased

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

Loss: 0.3006
Accuracy: 0.9738

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2557	1.0	3611	0.2650	0.9383
0.1543	2.0	7222	0.1762	0.9632
0.0792	3.0	10833	0.1959	0.9601
0.0565	4.0	14444	0.2106	0.9670
0.0507	5.0	18055	0.2597	0.9664
0.0297	6.0	21666	0.2761	0.9688
0.0531	7.0	25277	0.2336	0.9514
0.166	8.0	28888	0.2249	0.9688
0.0112	9.0	32499	0.2416	0.9720
0.0129	10.0	36110	0.2840	0.9713
0.0041	11.0	39721	0.2673	0.9695
0.0023	12.0	43332	0.3371	0.9664
0.0022	13.0	46943	0.3109	0.9688
0.0023	14.0	50554	0.2464	0.9757
0.0042	15.0	54165	0.3368	0.9688
0.001	16.0	57776	0.2903	0.9726
0.001	17.0	61387	0.3165	0.9707
0.0006	18.0	64998	0.2619	0.9769
0.0	19.0	68609	0.3053	0.9732
0.0	20.0	72220	0.3001	0.9745

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2