---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_target_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_target_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: 0.2820
- Precision Macro: 0.9487
- Precision Weighted: 0.9455
- Recall Macro: 0.9378
- Recall Weighted: 0.9423
- F1-score: 0.9412
- Accuracy: 0.9423

## 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: 4.055539898211945e-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 |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 467  | 0.3171          | 0.9197          | 0.9179             | 0.9131       | 0.9167          | 0.9154   | 0.9167   |
| 0.4991        | 2.0   | 934  | 0.2515          | 0.9197          | 0.9179             | 0.9131       | 0.9167          | 0.9154   | 0.9167   |
| 0.4101        | 3.0   | 1401 | 0.2636          | 0.9407          | 0.9381             | 0.9319       | 0.9359          | 0.9348   | 0.9359   |
| 0.2713        | 4.0   | 1868 | 0.2515          | 0.9487          | 0.9455             | 0.9378       | 0.9423          | 0.9412   | 0.9423   |
| 0.2038        | 5.0   | 2335 | 0.2820          | 0.9487          | 0.9455             | 0.9378       | 0.9423          | 0.9412   | 0.9423   |


### Framework versions

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