---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Hub-Report-1705947362
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Hub-Report-1705947362

This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1734
- F1: 0.7779
- Roc Auc: 0.8689
- Accuracy: 0.7658

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 297  | 0.2953          | 0.0397 | 0.5100  | 0.0203   |
| 0.3539        | 2.0   | 594  | 0.2267          | 0.5719 | 0.7107  | 0.4329   |
| 0.3539        | 3.0   | 891  | 0.1932          | 0.7410 | 0.8216  | 0.6608   |
| 0.2053        | 4.0   | 1188 | 0.1851          | 0.7363 | 0.8289  | 0.6823   |
| 0.2053        | 5.0   | 1485 | 0.1759          | 0.7659 | 0.8560  | 0.7392   |
| 0.1532        | 6.0   | 1782 | 0.1725          | 0.7756 | 0.8670  | 0.7633   |
| 0.1178        | 7.0   | 2079 | 0.1734          | 0.7779 | 0.8689  | 0.7658   |
| 0.1178        | 8.0   | 2376 | 0.1802          | 0.7587 | 0.8580  | 0.7481   |
| 0.0964        | 9.0   | 2673 | 0.1828          | 0.7669 | 0.8649  | 0.7595   |
| 0.0964        | 10.0  | 2970 | 0.1835          | 0.7625 | 0.8617  | 0.7532   |
| 0.083         | 11.0  | 3267 | 0.1849          | 0.7681 | 0.8646  | 0.7595   |
| 0.0723        | 12.0  | 3564 | 0.1886          | 0.7604 | 0.8603  | 0.7519   |
| 0.0723        | 13.0  | 3861 | 0.1901          | 0.7606 | 0.8599  | 0.7494   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0