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