| | --- |
| | license: apache-2.0 |
| | base_model: ICT2214Team7/RoBERTa_Test_Training |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: Combined_model_v1 |
| | 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. --> |
| |
|
| | # Combined_model_v1 |
| | RoBERTa_Test_Training(conll) + Test_Dataset |
| | |
| | This model is a fine-tuned version of [ICT2214Team7/RoBERTa_Test_Training](https://huggingface.co/ICT2214Team7/RoBERTa_Test_Training) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1242 |
| | - Precision: 0.8 |
| | - Recall: 0.9231 |
| | - F1: 0.8571 |
| | - Accuracy: 0.9667 |
| | |
| | ## 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: 5e-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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 10 | 0.1598 | 0.6667 | 0.7692 | 0.7143 | 0.9417 | |
| | | No log | 2.0 | 20 | 0.1385 | 0.625 | 0.7692 | 0.6897 | 0.9583 | |
| | | No log | 3.0 | 30 | 0.1242 | 0.8 | 0.9231 | 0.8571 | 0.9667 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
