metadata
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: []
all-mpnet-base-v2-20240102
This model is a fine-tuned version of 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