| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert_base_72 |
| 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_72 |
|
|
| This model is a fine-tuned version of [gokuls/bert_base_48](https://huggingface.co/gokuls/bert_base_48) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.3795 |
| - Accuracy: 0.4262 |
|
|
| ## 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: 48 |
| - eval_batch_size: 48 |
| - seed: 10 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 10000 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 5.6041 | 0.08 | 10000 | 5.5567 | 0.1751 | |
| | 5.4727 | 0.16 | 20000 | 5.3950 | 0.1953 | |
| | 5.3385 | 0.25 | 30000 | 5.2277 | 0.2150 | |
| | 5.2034 | 0.33 | 40000 | 5.0608 | 0.2335 | |
| | 4.7808 | 0.41 | 50000 | 4.5612 | 0.2910 | |
| | 4.1997 | 0.49 | 60000 | 4.0041 | 0.3519 | |
| | 3.804 | 0.57 | 70000 | 3.6509 | 0.3906 | |
| | 3.5517 | 0.66 | 80000 | 3.3795 | 0.4262 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.1 |
| - Pytorch 1.14.0a0+410ce96 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
