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

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

This model is a fine-tuned version of [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2926
- Accuracy: 0.9367
- F1: 0.9367

## 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: 0.00011913346592409408
- train_batch_size: 32
- eval_batch_size: 16
- seed: 22
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 313  | 1.1492          | 0.8442   | 0.8442 |
| 1.8684        | 2.0   | 626  | 0.4775          | 0.9049   | 0.9049 |
| 1.8684        | 3.0   | 939  | 0.3382          | 0.9302   | 0.9302 |
| 0.336         | 4.0   | 1252 | 0.2926          | 0.9367   | 0.9367 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2