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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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