| license: apache-2.0 | |
| base_model: sentence-transformers/all-mpnet-base-v2 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: test_model | |
| 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. --> | |
| # test_model | |
| 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: 0.3516 | |
| - Accuracy: 0.835 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.5267 | 1.0 | 625 | 0.3834 | 0.831 | | |
| | 0.3957 | 2.0 | 1250 | 0.3516 | 0.835 | | |
| ### Framework versions | |
| - Transformers 4.32.1 | |
| - Pytorch 2.2.1+cpu | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.2 | |