Hub-Report-20241202125641
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: 0.0629
- F1: 0.9126
- Roc Auc: 0.9528
- Accuracy: 0.9099
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 |
|---|---|---|---|---|---|---|
| 0.3156 | 1.0 | 936 | 0.1257 | 0.7426 | 0.8057 | 0.6152 |
| 0.0977 | 2.0 | 1872 | 0.0706 | 0.8950 | 0.9376 | 0.8831 |
| 0.0526 | 3.0 | 2808 | 0.0596 | 0.9000 | 0.9442 | 0.8946 |
| 0.032 | 4.0 | 3744 | 0.0551 | 0.9081 | 0.9497 | 0.9036 |
| 0.0226 | 5.0 | 4680 | 0.0632 | 0.8951 | 0.9428 | 0.8909 |
| 0.0193 | 6.0 | 5616 | 0.0579 | 0.9098 | 0.9510 | 0.9068 |
| 0.0156 | 7.0 | 6552 | 0.0607 | 0.9086 | 0.9504 | 0.9046 |
| 0.0129 | 8.0 | 7488 | 0.0611 | 0.9118 | 0.9523 | 0.9080 |
| 0.0126 | 9.0 | 8424 | 0.0633 | 0.9114 | 0.9529 | 0.9077 |
| 0.0107 | 10.0 | 9360 | 0.0629 | 0.9126 | 0.9528 | 0.9099 |
| 0.0084 | 11.0 | 10296 | 0.0654 | 0.9091 | 0.9510 | 0.9058 |
| 0.0079 | 12.0 | 11232 | 0.0647 | 0.9100 | 0.9521 | 0.9055 |
| 0.0065 | 13.0 | 12168 | 0.0652 | 0.9102 | 0.9523 | 0.9071 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for Kevinger/Hub-Report-20241202125641
Base model
sentence-transformers/all-mpnet-base-v2