| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert-base-uncased-finetuned-classification |
| | 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-finetuned-classification |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 38.9115 |
| | - Mse: 38.9115 |
| | - Mae: 4.5330 |
| | - R2: 0.7802 |
| | - Accuracy: 0.1620 |
| | - Msev: 0.0257 |
| |
|
| | ## 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: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy | Msev | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:--------:|:------:| |
| | | 12.4524 | 1.0 | 5215 | 43.9797 | 43.9797 | 4.8194 | 0.7515 | 0.1693 | 0.0227 | |
| | | 4.393 | 2.0 | 10430 | 39.2333 | 39.2333 | 4.6028 | 0.7783 | 0.1737 | 0.0255 | |
| | | 2.424 | 3.0 | 15645 | 41.3763 | 41.3763 | 4.6597 | 0.7662 | 0.1620 | 0.0242 | |
| | | 1.781 | 4.0 | 20860 | 39.4309 | 39.4309 | 4.5960 | 0.7772 | 0.1767 | 0.0254 | |
| | | 1.3608 | 5.0 | 26075 | 38.9115 | 38.9115 | 4.5330 | 0.7802 | 0.1620 | 0.0257 | |
| | | 1.2014 | 6.0 | 31290 | 39.7403 | 39.7403 | 4.5850 | 0.7755 | 0.1716 | 0.0252 | |
| | | 1.0742 | 7.0 | 36505 | 40.4495 | 40.4495 | 4.6133 | 0.7715 | 0.1685 | 0.0247 | |
| | | 0.837 | 8.0 | 41720 | 39.5864 | 39.5864 | 4.5630 | 0.7763 | 0.1620 | 0.0253 | |
| | | 0.8054 | 9.0 | 46935 | 39.9482 | 39.9482 | 4.5839 | 0.7743 | 0.1569 | 0.0250 | |
| | | 0.8085 | 10.0 | 52150 | 39.5685 | 39.5685 | 4.5669 | 0.7764 | 0.1573 | 0.0253 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.21.3 |
| | - Pytorch 1.12.1+cu113 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
