| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: anercorpDataset_v2.1 | |
| 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. --> | |
| # anercorpDataset_v2.1 | |
| This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-mix-ner](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix-ner) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2755 | |
| - Precision: 0.7604 | |
| - Recall: 0.6878 | |
| - F1: 0.7223 | |
| - Accuracy: 0.9461 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.206 | 1.0 | 7057 | 0.2703 | 0.6971 | 0.6367 | 0.6655 | 0.9377 | | |
| | 0.2036 | 2.0 | 14114 | 0.2438 | 0.7460 | 0.6756 | 0.7090 | 0.9449 | | |
| | 0.1404 | 3.0 | 21171 | 0.2755 | 0.7604 | 0.6878 | 0.7223 | 0.9461 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 | |