| | --- |
| | license: cc-by-nc-nd-4.0 |
| | base_model: google-bert/bert-large-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-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5713 |
| |
|
| | ## 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: 16 |
| | - 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.9089 | 0.4 | 7373 | 0.8463 | |
| | | 0.6975 | 0.8 | 14746 | 0.6603 | |
| | | 0.5207 | 1.2 | 22119 | 0.6005 | |
| | | 0.4985 | 1.6 | 29492 | 0.5558 | |
| | | 0.4572 | 2.0 | 36865 | 0.5206 | |
| | | 0.3228 | 2.4 | 44238 | 0.5485 | |
| | | 0.305 | 2.8 | 51611 | 0.5243 | |
| | | 0.2171 | 3.2 | 58984 | 0.5674 | |
| | | 0.2057 | 3.6 | 66357 | 0.5713 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.17.1 |
| | - Tokenizers 0.15.2 |
