| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: skt/A.X-Encoder-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: hello_classification |
| 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. --> |
|
|
| # hello_classification |
| |
| This model is a fine-tuned version of [skt/A.X-Encoder-base](https://huggingface.co/skt/A.X-Encoder-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0077 |
| - Precision: 1.0 |
| - Recall: 0.9919 |
| - F1: 0.9959 |
| - Accuracy: 0.9983 |
| |
| ## 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: 128 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 25 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | No log | 1.0 | 73 | 0.0225 | 0.9770 | 0.9860 | 0.9815 | 0.9931 | |
| | No log | 2.0 | 146 | 0.0194 | 0.9858 | 0.9721 | 0.9789 | 0.9923 | |
| | No log | 3.0 | 219 | 0.0147 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
| | No log | 4.0 | 292 | 0.0182 | 0.9907 | 0.9907 | 0.9907 | 0.9966 | |
| | No log | 5.0 | 365 | 0.0144 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
| | No log | 6.0 | 438 | 0.0139 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
| | 0.0144 | 7.0 | 511 | 0.0207 | 0.9907 | 0.9860 | 0.9883 | 0.9957 | |
| | 0.0144 | 8.0 | 584 | 0.0183 | 0.9906 | 0.9814 | 0.9860 | 0.9948 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.51.0 |
| - Pytorch 2.7.0+cu126 |
| - Tokenizers 0.21.2 |
| |
