metadata

license: apache-2.0
base_model: sentence-transformers/bert-base-nli-mean-tokens
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: mbti-bert-nli-finetuned_v2
    results: []

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