| | --- |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: binary_every_exp |
| | 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. --> |
| |
|
| | # binary_every_exp |
| |
|
| | This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0081 |
| | - Precision: 1.0 |
| | - Recall: 1.0 |
| | - F1: 1.0 |
| | - Accuracy: 1.0 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 19 | 0.0709 | 0.96 | 1.0 | 0.9796 | 0.9857 | |
| | | No log | 2.0 | 38 | 0.0647 | 1.0 | 0.9583 | 0.9787 | 0.9857 | |
| | | No log | 3.0 | 57 | 0.0095 | 1.0 | 1.0 | 1.0 | 1.0 | |
| | | No log | 4.0 | 76 | 0.0166 | 1.0 | 0.9583 | 0.9787 | 0.9857 | |
| | | No log | 5.0 | 95 | 0.0081 | 1.0 | 1.0 | 1.0 | 1.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.3 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
