| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: bert-finetuned-10Epochs64Batch |
| 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-10Epochs64Batch |
|
|
| 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: 0.6931 |
| - Accuracy: 0.4993 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 64 |
| - 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 | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6962 | 1.0 | 569 | 0.6931 | 0.5094 | |
| | 0.6969 | 2.0 | 1138 | 0.6931 | 0.5062 | |
| | 0.6959 | 3.0 | 1707 | 0.6931 | 0.5106 | |
| | 0.6959 | 4.0 | 2276 | 0.6931 | 0.4975 | |
| | 0.6948 | 5.0 | 2845 | 0.6931 | 0.5109 | |
| | 0.6944 | 6.0 | 3414 | 0.6931 | 0.4948 | |
| | 0.695 | 7.0 | 3983 | 0.6931 | 0.5092 | |
| | 0.694 | 8.0 | 4552 | 0.6931 | 0.5054 | |
| | 0.6941 | 9.0 | 5121 | 0.6931 | 0.4998 | |
| | 0.6944 | 10.0 | 5690 | 0.6931 | 0.4993 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
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|
