| | --- |
| | license: cc-by-nc-nd-4.0 |
| | base_model: google-bert/bert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: checkpoint |
| | 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. --> |
| |
|
| | # checkpoint |
| |
|
| | This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6893 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:------:|:---------------:| |
| | | 0.9805 | 0.4 | 14970 | 0.9337 | |
| | | 0.7891 | 0.8 | 29940 | 0.7608 | |
| | | 0.5697 | 1.2 | 44910 | 0.7100 | |
| | | 0.5658 | 1.6 | 59880 | 0.6664 | |
| | | 0.5251 | 2.0 | 74850 | 0.6201 | |
| | | 0.3758 | 2.4 | 89820 | 0.6756 | |
| | | 0.3749 | 2.8 | 104790 | 0.6580 | |
| | | 0.2743 | 3.2 | 119760 | 0.6885 | |
| | | 0.2617 | 3.6 | 134730 | 0.7000 | |
| | | 0.2253 | 4.0 | 149700 | 0.6893 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.17.1 |
| | - Tokenizers 0.15.2 |
