---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_transport_ghg_best
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IKT_classifier_transport_ghg_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: 0.5948
- Precision Macro: 0.8995
- Precision Weighted: 0.8712
- Recall Macro: 0.8177
- Recall Weighted: 0.8605
- F1-score: 0.8456
- Accuracy: 0.8605

## 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: 6.900299287565753e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100.0
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:|
| No log        | 1.0   | 52   | 0.9196          | 0.5132          | 0.6619             | 0.5936       | 0.7674          | 0.5493   | 0.7674   |
| No log        | 2.0   | 104  | 0.4997          | 0.9079          | 0.8830             | 0.7807       | 0.8605          | 0.8112   | 0.8605   |
| No log        | 3.0   | 156  | 0.4113          | 0.7992          | 0.8372             | 0.7992       | 0.8372          | 0.7992   | 0.8372   |
| No log        | 4.0   | 208  | 0.3726          | 0.9186          | 0.8935             | 0.8713       | 0.8837          | 0.8898   | 0.8837   |
| No log        | 5.0   | 260  | 0.5869          | 0.8687          | 0.8312             | 0.7446       | 0.8140          | 0.7758   | 0.8140   |
| No log        | 6.0   | 312  | 0.5321          | 0.8463          | 0.8593             | 0.8168       | 0.8605          | 0.8293   | 0.8605   |
| No log        | 7.0   | 364  | 0.5608          | 0.9149          | 0.8907             | 0.8353       | 0.8837          | 0.8632   | 0.8837   |
| No log        | 8.0   | 416  | 0.5948          | 0.8995          | 0.8712             | 0.8177       | 0.8605          | 0.8456   | 0.8605   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3