| | --- |
| | base_model: Kevinger/setfit-hub-report |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: Hub-Repoop-1706132005 |
| | 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. --> |
| |
|
| | # Hub-Repoop-1706132005 |
| |
|
| | This model is a fine-tuned version of [Kevinger/setfit-hub-report](https://huggingface.co/Kevinger/setfit-hub-report) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1718 |
| | - F1: 0.7750 |
| | - Roc Auc: 0.8654 |
| | - Accuracy: 0.7595 |
| |
|
| | ## 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: 2e-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 |
| | - num_epochs: 13 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
| | | No log | 1.0 | 277 | 0.3053 | 0.0 | 0.5 | 0.0 | |
| | | 0.3561 | 2.0 | 554 | 0.2275 | 0.5792 | 0.7105 | 0.4283 | |
| | | 0.3561 | 3.0 | 831 | 0.1904 | 0.7453 | 0.8270 | 0.6730 | |
| | | 0.2037 | 4.0 | 1108 | 0.1791 | 0.7602 | 0.8498 | 0.7257 | |
| | | 0.2037 | 5.0 | 1385 | 0.1724 | 0.7614 | 0.8556 | 0.7405 | |
| | | 0.144 | 6.0 | 1662 | 0.1733 | 0.7557 | 0.8546 | 0.7405 | |
| | | 0.144 | 7.0 | 1939 | 0.1718 | 0.7750 | 0.8654 | 0.7595 | |
| | | 0.1093 | 8.0 | 2216 | 0.1805 | 0.7605 | 0.8579 | 0.7468 | |
| | | 0.1093 | 9.0 | 2493 | 0.1842 | 0.7484 | 0.8508 | 0.7342 | |
| | | 0.0872 | 10.0 | 2770 | 0.1817 | 0.7597 | 0.8577 | 0.7447 | |
| | | 0.0748 | 11.0 | 3047 | 0.1824 | 0.7561 | 0.8579 | 0.7468 | |
| | | 0.0748 | 12.0 | 3324 | 0.1826 | 0.7663 | 0.8630 | 0.7553 | |
| | | 0.0674 | 13.0 | 3601 | 0.1844 | 0.7594 | 0.8585 | 0.7489 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| |
|
