| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert_Pfinal_4CLASES_2e-5_16_10 |
| 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. --> |
|
|
| # bert_Pfinal_4CLASES_2e-5_16_10 |
| |
| This model is a fine-tuned version of [fredymad/bert_Pfinal_4CLASES_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_4CLASES_2e-5_16_2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9126 |
| - Accuracy: 0.8960 |
| |
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.1814 | 1.0 | 669 | 0.4063 | 0.8960 | |
| | 0.1821 | 2.0 | 1338 | 0.4814 | 0.8904 | |
| | 0.1029 | 3.0 | 2007 | 0.5948 | 0.8968 | |
| | 0.0545 | 4.0 | 2676 | 0.6543 | 0.8949 | |
| | 0.038 | 5.0 | 3345 | 0.7463 | 0.8953 | |
| | 0.0122 | 6.0 | 4014 | 0.8268 | 0.8968 | |
| | 0.0137 | 7.0 | 4683 | 0.8442 | 0.8964 | |
| | 0.0061 | 8.0 | 5352 | 0.8852 | 0.8953 | |
| | 0.0073 | 9.0 | 6021 | 0.9132 | 0.8957 | |
| | 0.002 | 10.0 | 6690 | 0.9126 | 0.8960 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.28.0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
| |
