---
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Hub-Report-20241130161450
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Hub-Report-20241130161450

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: 0.0618
- F1: 0.9067
- Roc Auc: 0.9492
- Accuracy: 0.9023

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 13

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.315         | 1.0   | 502  | 0.2049          | 0.0    | 0.5     | 0.0      |
| 0.1619        | 2.0   | 1004 | 0.1230          | 0.7725 | 0.8300  | 0.6651   |
| 0.0952        | 3.0   | 1506 | 0.0808          | 0.9009 | 0.9401  | 0.8878   |
| 0.0607        | 4.0   | 2008 | 0.0725          | 0.8861 | 0.9350  | 0.8797   |
| 0.0427        | 5.0   | 2510 | 0.0612          | 0.9017 | 0.9461  | 0.8983   |
| 0.0307        | 6.0   | 3012 | 0.0619          | 0.8948 | 0.9418  | 0.8907   |
| 0.0247        | 7.0   | 3514 | 0.0629          | 0.8983 | 0.9437  | 0.8930   |
| 0.0195        | 8.0   | 4016 | 0.0633          | 0.8979 | 0.9442  | 0.8953   |
| 0.017         | 9.0   | 4518 | 0.0603          | 0.9052 | 0.9480  | 0.9017   |
| 0.0149        | 10.0  | 5020 | 0.0633          | 0.9022 | 0.9462  | 0.9      |
| 0.0137        | 11.0  | 5522 | 0.0619          | 0.9040 | 0.9474  | 0.9017   |
| 0.0127        | 12.0  | 6024 | 0.0616          | 0.9042 | 0.9482  | 0.8994   |
| 0.0121        | 13.0  | 6526 | 0.0618          | 0.9067 | 0.9492  | 0.9023   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3