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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: sentence-transformers/all-mpnet-base-v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: Hub-Report-20241130161450 |
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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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# Hub-Report-20241130161450 |
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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: 0.0618 |
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- F1: 0.9067 |
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- Roc Auc: 0.9492 |
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- Accuracy: 0.9023 |
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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: 2e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 13 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.315 | 1.0 | 502 | 0.2049 | 0.0 | 0.5 | 0.0 | |
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| 0.1619 | 2.0 | 1004 | 0.1230 | 0.7725 | 0.8300 | 0.6651 | |
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| 0.0952 | 3.0 | 1506 | 0.0808 | 0.9009 | 0.9401 | 0.8878 | |
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| 0.0607 | 4.0 | 2008 | 0.0725 | 0.8861 | 0.9350 | 0.8797 | |
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| 0.0427 | 5.0 | 2510 | 0.0612 | 0.9017 | 0.9461 | 0.8983 | |
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| 0.0307 | 6.0 | 3012 | 0.0619 | 0.8948 | 0.9418 | 0.8907 | |
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| 0.0247 | 7.0 | 3514 | 0.0629 | 0.8983 | 0.9437 | 0.8930 | |
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| 0.0195 | 8.0 | 4016 | 0.0633 | 0.8979 | 0.9442 | 0.8953 | |
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| 0.017 | 9.0 | 4518 | 0.0603 | 0.9052 | 0.9480 | 0.9017 | |
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| 0.0149 | 10.0 | 5020 | 0.0633 | 0.9022 | 0.9462 | 0.9 | |
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| 0.0137 | 11.0 | 5522 | 0.0619 | 0.9040 | 0.9474 | 0.9017 | |
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| 0.0127 | 12.0 | 6024 | 0.0616 | 0.9042 | 0.9482 | 0.8994 | |
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| 0.0121 | 13.0 | 6526 | 0.0618 | 0.9067 | 0.9492 | 0.9023 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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