| | --- |
| | license: apache-2.0 |
| | base_model: bert-base-cased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert_C_2 |
| | 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_C_2 |
| |
|
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6722.5049 |
| | - Mae: 52.1614 |
| |
|
| | ## 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: 2.5e-05 |
| | - train_batch_size: 72 |
| | - eval_batch_size: 72 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Mae | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | | No log | 1.0 | 51 | 8283.7012 | 62.4105 | |
| | | No log | 2.0 | 102 | 7761.8237 | 58.8175 | |
| | | No log | 3.0 | 153 | 7552.2861 | 57.4051 | |
| | | No log | 4.0 | 204 | 7422.1416 | 56.5480 | |
| | | No log | 5.0 | 255 | 7319.2437 | 55.8786 | |
| | | No log | 6.0 | 306 | 7231.1514 | 55.3173 | |
| | | No log | 7.0 | 357 | 7153.9229 | 54.8313 | |
| | | No log | 8.0 | 408 | 7085.3296 | 54.4032 | |
| | | No log | 9.0 | 459 | 7023.9609 | 54.0201 | |
| | | 8468.761 | 10.0 | 510 | 6969.4009 | 53.6830 | |
| | | 8468.761 | 11.0 | 561 | 6920.9131 | 53.3808 | |
| | | 8468.761 | 12.0 | 612 | 6878.1675 | 53.1132 | |
| | | 8468.761 | 13.0 | 663 | 6841.0210 | 52.8787 | |
| | | 8468.761 | 14.0 | 714 | 6809.2080 | 52.6846 | |
| | | 8468.761 | 15.0 | 765 | 6782.4966 | 52.5224 | |
| | | 8468.761 | 16.0 | 816 | 6760.8091 | 52.3901 | |
| | | 8468.761 | 17.0 | 867 | 6744.0356 | 52.2873 | |
| | | 8468.761 | 18.0 | 918 | 6732.0830 | 52.2164 | |
| | | 8468.761 | 19.0 | 969 | 6724.9185 | 52.1753 | |
| | | 7734.004 | 20.0 | 1020 | 6722.5049 | 52.1614 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.37.1 |
| | - Pytorch 2.1.2+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| |
|
