---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mbti-bert-nli-finetuned_v2

This model is a fine-tuned version of [sentence-transformers/bert-base-nli-mean-tokens](https://huggingface.co/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