---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_conditional_best
  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. -->

# IKT_classifier_conditional_best

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: 0.9766
- Precision Macro: 0.8010
- Precision Weighted: 0.8078
- Recall Macro: 0.7928
- Recall Weighted: 0.8093
- F1-score: 0.7963
- Accuracy: 0.8093

## 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: 4.112924307850544e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400.0
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:|
| 0.6562        | 1.0   | 696  | 0.5617          | 0.7283          | 0.7423             | 0.7283       | 0.7423          | 0.7283   | 0.7423   |
| 0.6091        | 2.0   | 1392 | 0.6492          | 0.7345          | 0.7443             | 0.7251       | 0.7474          | 0.7287   | 0.7474   |
| 0.3892        | 3.0   | 2088 | 0.7730          | 0.7848          | 0.7872             | 0.7612       | 0.7887          | 0.7687   | 0.7887   |
| 0.2509        | 4.0   | 2784 | 0.9735          | 0.7778          | 0.7937             | 0.7858       | 0.7887          | 0.7807   | 0.7887   |
| 0.1648        | 5.0   | 3480 | 0.9766          | 0.8010          | 0.8078             | 0.7928       | 0.8093          | 0.7963   | 0.8093   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3