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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: IKT_classifier_transport_ghg_best |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# IKT_classifier_transport_ghg_best |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5948 |
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- Precision Macro: 0.8995 |
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- Precision Weighted: 0.8712 |
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- Recall Macro: 0.8177 |
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- Recall Weighted: 0.8605 |
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- F1-score: 0.8456 |
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- Accuracy: 0.8605 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6.900299287565753e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100.0 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:------------:|:---------------:|:--------:|:--------:| |
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| No log | 1.0 | 52 | 0.9196 | 0.5132 | 0.6619 | 0.5936 | 0.7674 | 0.5493 | 0.7674 | |
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| No log | 2.0 | 104 | 0.4997 | 0.9079 | 0.8830 | 0.7807 | 0.8605 | 0.8112 | 0.8605 | |
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| No log | 3.0 | 156 | 0.4113 | 0.7992 | 0.8372 | 0.7992 | 0.8372 | 0.7992 | 0.8372 | |
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| No log | 4.0 | 208 | 0.3726 | 0.9186 | 0.8935 | 0.8713 | 0.8837 | 0.8898 | 0.8837 | |
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| No log | 5.0 | 260 | 0.5869 | 0.8687 | 0.8312 | 0.7446 | 0.8140 | 0.7758 | 0.8140 | |
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| No log | 6.0 | 312 | 0.5321 | 0.8463 | 0.8593 | 0.8168 | 0.8605 | 0.8293 | 0.8605 | |
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| No log | 7.0 | 364 | 0.5608 | 0.9149 | 0.8907 | 0.8353 | 0.8837 | 0.8632 | 0.8837 | |
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| No log | 8.0 | 416 | 0.5948 | 0.8995 | 0.8712 | 0.8177 | 0.8605 | 0.8456 | 0.8605 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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