| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: knowledge-graph-nlp | |
| 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. --> | |
| # knowledge-graph-nlp | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1830 | |
| - Precision: 0.8988 | |
| - Recall: 0.8715 | |
| - F1: 0.8849 | |
| - Accuracy: 0.9453 | |
| ## 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: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.2908 | 1.0 | 2316 | 0.2461 | 0.8455 | 0.8023 | 0.8234 | 0.9167 | | |
| | 0.1973 | 2.0 | 4632 | 0.2000 | 0.8745 | 0.8446 | 0.8593 | 0.9341 | | |
| | 0.1593 | 3.0 | 6948 | 0.1863 | 0.8973 | 0.8632 | 0.8799 | 0.9427 | | |
| | 0.1336 | 4.0 | 9264 | 0.1830 | 0.8988 | 0.8715 | 0.8849 | 0.9453 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.17.1 | |
| - Tokenizers 0.15.2 | |