---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: all-mpnet-base-v2-20240102
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# all-mpnet-base-v2-20240102

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: 0.1930
- F1: 0.7429
- Roc Auc: 0.8143
- Accuracy: 0.6406

## 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: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 109  | 0.3929          | 0.0    | 0.5     | 0.0      |
| No log        | 2.0   | 218  | 0.3159          | 0.0    | 0.5     | 0.0      |
| No log        | 3.0   | 327  | 0.2721          | 0.5170 | 0.6766  | 0.3564   |
| No log        | 4.0   | 436  | 0.2410          | 0.6267 | 0.7382  | 0.4854   |
| 0.3349        | 5.0   | 545  | 0.2238          | 0.6389 | 0.7415  | 0.4889   |
| 0.3349        | 6.0   | 654  | 0.2115          | 0.6564 | 0.7538  | 0.5156   |
| 0.3349        | 7.0   | 763  | 0.2005          | 0.6985 | 0.7824  | 0.5749   |
| 0.3349        | 8.0   | 872  | 0.1930          | 0.7429 | 0.8143  | 0.6406   |
| 0.3349        | 9.0   | 981  | 0.1903          | 0.7413 | 0.8161  | 0.6461   |
| 0.1716        | 10.0  | 1090 | 0.1879          | 0.7379 | 0.8170  | 0.6500   |
| 0.1716        | 11.0  | 1199 | 0.1879          | 0.7359 | 0.8141  | 0.6431   |


### Framework versions

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