| | --- |
| | license: apache-2.0 |
| | base_model: google-bert/bert-base-cased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bert-finetuned-combo-textbook |
| | 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-finetuned-combo-textbook |
| |
|
| | This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6464 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 2.3141 | 1.0 | 2468 | 2.0738 | |
| | | 2.1063 | 2.0 | 4936 | 2.0016 | |
| | | 2.0241 | 3.0 | 7404 | 1.9165 | |
| | | 1.9769 | 4.0 | 9872 | nan | |
| | | 1.897 | 5.0 | 12340 | 1.8370 | |
| | | 1.8501 | 6.0 | 14808 | 1.8046 | |
| | | 1.8182 | 7.0 | 17276 | 1.7854 | |
| | | 1.7648 | 8.0 | 19744 | 1.7328 | |
| | | 1.7409 | 9.0 | 22212 | 1.7238 | |
| | | 1.7486 | 10.0 | 24680 | 1.7043 | |
| | | 1.6753 | 11.0 | 27148 | 1.7076 | |
| | | 1.6833 | 12.0 | 29616 | 1.6704 | |
| | | 1.6684 | 13.0 | 32084 | 1.6873 | |
| | | 1.6092 | 14.0 | 34552 | 1.6702 | |
| | | 1.6077 | 15.0 | 37020 | 1.6972 | |
| | | 1.6271 | 16.0 | 39488 | 1.6379 | |
| | | 1.6159 | 17.0 | 41956 | 1.6624 | |
| | | 1.5678 | 18.0 | 44424 | 1.6646 | |
| | | 1.5857 | 19.0 | 46892 | 1.6290 | |
| | | 1.5741 | 20.0 | 49360 | 1.6464 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
