paraphrase-mpnet-base-v2_mbti_full – AI Model by ClaudiaRichard | AlphaNeural AI

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ClaudiaRichard/
paraphrase-mpnet-base-v2_mbti_full

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text-classification

generated_from_trainer

sentence-transformers/paraphrase-mpnet-base-v2

autotrain_compatible

endpoints_compatible

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paraphrase-mpnet-base-v2_mbti_full

This model is a fine-tuned version of sentence-transformers/paraphrase-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5933
F1: 0.5931
Roc Auc: 0.6834

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc
No log	1.0	325	0.5755	0.4804	0.6197
0.5774	2.0	651	0.5656	0.2262	0.5484
0.5774	3.0	976	0.5515	0.3992	0.6041
0.5594	4.0	1302	0.5487	0.4959	0.6344
0.5352	5.0	1627	0.5429	0.5776	0.6775
0.5352	6.0	1953	0.5557	0.5332	0.6560
0.4996	7.0	2278	0.5681	0.5895	0.6837
0.4531	8.0	2604	0.5793	0.5783	0.6783
0.4531	9.0	2929	0.5924	0.5982	0.6882
0.4204	9.98	3250	0.5970	0.5786	0.6778

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2