| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: FPC_model |
| 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. --> |
|
|
| # FPC_model |
| |
| 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: 0.4029 |
| - Accuracy: 0.9153 |
| |
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 285 | 1.1683 | 0.7397 | |
| | 1.5827 | 2.0 | 570 | 0.6301 | 0.8481 | |
| | 1.5827 | 3.0 | 855 | 0.5046 | 0.8755 | |
| | 0.4453 | 4.0 | 1140 | 0.4156 | 0.8941 | |
| | 0.4453 | 5.0 | 1425 | 0.3790 | 0.9153 | |
| | 0.1964 | 6.0 | 1710 | 0.3949 | 0.9078 | |
| | 0.1964 | 7.0 | 1995 | 0.3969 | 0.9153 | |
| | 0.1072 | 8.0 | 2280 | 0.4002 | 0.9153 | |
| | 0.0611 | 9.0 | 2565 | 0.4027 | 0.9141 | |
| | 0.0611 | 10.0 | 2850 | 0.4029 | 0.9153 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.0 |
| - Tokenizers 0.13.3 |
| |
