---
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_economywide_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_economywide_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: 0.1184
- Precision Macro: 0.9615
- Precision Weighted: 0.9630
- Recall Macro: 0.9635
- Recall Weighted: 0.9623
- F1-score: 0.9621
- Accuracy: 0.9623

## 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: 7.132195091261459e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300.0
- 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   | 60   | 0.4189          | 0.9426          | 0.9442             | 0.9445       | 0.9434          | 0.9432   | 0.9434   |
| No log        | 2.0   | 120  | 0.1438          | 0.9521          | 0.9531             | 0.9533       | 0.9528          | 0.9526   | 0.9528   |
| No log        | 3.0   | 180  | 0.1119          | 0.9615          | 0.9630             | 0.9635       | 0.9623          | 0.9621   | 0.9623   |
| No log        | 4.0   | 240  | 0.1477          | 0.9521          | 0.9531             | 0.9533       | 0.9528          | 0.9526   | 0.9528   |
| No log        | 5.0   | 300  | 0.1184          | 0.9615          | 0.9630             | 0.9635       | 0.9623          | 0.9621   | 0.9623   |


### Framework versions

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