| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | base_model: bert-base-uncased |
| | model-index: |
| | - name: bert-base-uncased-issues-128 |
| | 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-base-uncased-issues-128 |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2312 |
| |
|
| | ## 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: 128 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 16 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.3399 | 1.0 | 73 | 1.7462 | |
| | | 1.799 | 2.0 | 146 | 1.4703 | |
| | | 1.6353 | 3.0 | 219 | 1.4796 | |
| | | 1.5464 | 4.0 | 292 | 1.3851 | |
| | | 1.4697 | 5.0 | 365 | 1.3032 | |
| | | 1.4146 | 6.0 | 438 | 1.3339 | |
| | | 1.3677 | 7.0 | 511 | 1.3349 | |
| | | 1.3345 | 8.0 | 584 | 1.2818 | |
| | | 1.3053 | 9.0 | 657 | 1.2646 | |
| | | 1.2886 | 10.0 | 730 | 1.2355 | |
| | | 1.278 | 11.0 | 803 | 1.3037 | |
| | | 1.2568 | 12.0 | 876 | 1.1511 | |
| | | 1.2399 | 13.0 | 949 | 1.2578 | |
| | | 1.2369 | 14.0 | 1022 | 1.2487 | |
| | | 1.2165 | 15.0 | 1095 | 1.2581 | |
| | | 1.2289 | 16.0 | 1168 | 1.2312 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.21.3 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.7.1 |
| | - Tokenizers 0.12.1 |
| |
|
