roberta-base-bne-finetuned_personality_multi_4 – AI Model by titi7242229 | AlphaNeural AI

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titi7242229/
roberta-base-bne-finetuned_personality_multi_4

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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roberta-base-bne-finetuned_personality_multi_4

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.1709
Accuracy: 0.3470

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: 0.0001
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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1759	1.0	125	2.1873	0.2548
1.8651	2.0	250	2.2285	0.2680
1.8619	3.0	375	2.1732	0.2951
1.7224	4.0	500	2.0688	0.3925
1.6432	5.0	625	2.1094	0.3735
1.3599	6.0	750	2.1732	0.3631
1.0623	7.0	875	2.4785	0.3579
1.0504	8.0	1000	2.4598	0.3844
0.7662	9.0	1125	2.8081	0.3573
0.9167	10.0	1250	2.9385	0.3452
0.6391	11.0	1375	2.9933	0.3320
0.3893	12.0	1500	3.1037	0.3579
0.673	13.0	1625	3.4369	0.3631
0.3498	14.0	1750	3.6396	0.3383
0.3891	15.0	1875	3.8332	0.3556
0.0818	16.0	2000	3.9451	0.3401
0.1438	17.0	2125	3.9271	0.3458
0.0634	18.0	2250	4.1564	0.3481
0.0121	19.0	2375	4.1405	0.3499
0.0071	20.0	2500	4.1709	0.3470

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1