| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | base_model: bert-base-cased |
| | model-index: |
| | - name: oldData_BERT |
| | 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. --> |
| |
|
| | # oldData_BERT |
| | |
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0616 |
| | |
| | ## 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: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 7 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.2348 | 1.0 | 1125 | 1.0185 | |
| | | 1.0082 | 2.0 | 2250 | 0.7174 | |
| | | 0.699 | 3.0 | 3375 | 0.3657 | |
| | | 0.45 | 4.0 | 4500 | 0.1880 | |
| | | 0.2915 | 5.0 | 5625 | 0.1140 | |
| | | 0.2056 | 6.0 | 6750 | 0.0708 | |
| | | 0.1312 | 7.0 | 7875 | 0.0616 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.18.0 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.12.1 |
| |
|
