mbti-bert-nli-finetuned_v2

ClaudiaRichard/mbti-bert-nli-finetuned_v2

mbti-bert-nli-finetuned_v2 is a text classification model from ClaudiaRichard. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Feb 25, 2024
Updated: Feb 25, 2024
SHA: ef5ce188

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Base models

sentence-transformers/bert-base-nli-mean-tokens

Model card

From the Hugging Face model README

mbti-bert-nli-finetuned_v2

This model is a fine-tuned version of sentence-transformers/bert-base-nli-mean-tokens on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5429
F1: 0.5231
Roc Auc: 0.6546

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc
0.5413	1.0	5948	0.5385	0.5721	0.6766
0.5046	2.0	11896	0.5429	0.5231	0.6546

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Tokenizers 0.15.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 25, 2024
Updated: Feb 25, 2024