|
--- |
|
license: apache-2.0 |
|
base_model: sentence-transformers/all-mpnet-base-v2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: all-mpnet-base-v2-20240102 |
|
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. --> |
|
|
|
# all-mpnet-base-v2-20240102 |
|
|
|
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: 0.1930 |
|
- F1: 0.7429 |
|
- Roc Auc: 0.8143 |
|
- Accuracy: 0.6406 |
|
|
|
## 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: 11 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
|
| No log | 1.0 | 109 | 0.3929 | 0.0 | 0.5 | 0.0 | |
|
| No log | 2.0 | 218 | 0.3159 | 0.0 | 0.5 | 0.0 | |
|
| No log | 3.0 | 327 | 0.2721 | 0.5170 | 0.6766 | 0.3564 | |
|
| No log | 4.0 | 436 | 0.2410 | 0.6267 | 0.7382 | 0.4854 | |
|
| 0.3349 | 5.0 | 545 | 0.2238 | 0.6389 | 0.7415 | 0.4889 | |
|
| 0.3349 | 6.0 | 654 | 0.2115 | 0.6564 | 0.7538 | 0.5156 | |
|
| 0.3349 | 7.0 | 763 | 0.2005 | 0.6985 | 0.7824 | 0.5749 | |
|
| 0.3349 | 8.0 | 872 | 0.1930 | 0.7429 | 0.8143 | 0.6406 | |
|
| 0.3349 | 9.0 | 981 | 0.1903 | 0.7413 | 0.8161 | 0.6461 | |
|
| 0.1716 | 10.0 | 1090 | 0.1879 | 0.7379 | 0.8170 | 0.6500 | |
|
| 0.1716 | 11.0 | 1199 | 0.1879 | 0.7359 | 0.8141 | 0.6431 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|
