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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- glue |
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metrics: |
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- matthews_correlation |
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model-index: |
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- name: bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: glue |
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type: glue |
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config: cola |
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split: validation |
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args: cola |
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metrics: |
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- name: Matthews Correlation |
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type: matthews_correlation |
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value: 0.5779953180551635 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4260 |
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- Matthews Correlation: 0.5780 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7.530341440816975e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------------------:| |
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| 0.5137 | 1.0 | 535 | 0.4936 | 0.4808 | |
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| 0.362 | 2.0 | 1070 | 0.4270 | 0.5781 | |
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| 0.2679 | 3.0 | 1605 | 0.6409 | 0.5148 | |
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| 0.2046 | 4.0 | 2140 | 0.5658 | 0.5892 | |
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| 0.1736 | 5.0 | 2675 | 0.7711 | 0.5624 | |
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| 0.1378 | 6.0 | 3210 | 0.8053 | 0.5956 | |
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| 0.1137 | 7.0 | 3745 | 0.9714 | 0.5523 | |
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| 0.0903 | 8.0 | 4280 | 0.9119 | 0.5735 | |
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| 0.0839 | 9.0 | 4815 | 1.0448 | 0.5839 | |
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| 0.0629 | 10.0 | 5350 | 1.2056 | 0.5521 | |
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| 0.0577 | 11.0 | 5885 | 1.1880 | 0.5889 | |
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| 0.0505 | 12.0 | 6420 | 1.1722 | 0.5836 | |
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| 0.0519 | 13.0 | 6955 | 1.2863 | 0.5884 | |
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| 0.0369 | 14.0 | 7490 | 1.2971 | 0.5608 | |
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| 0.032 | 15.0 | 8025 | 1.3024 | 0.5785 | |
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| 0.0244 | 16.0 | 8560 | 1.3904 | 0.5737 | |
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| 0.0166 | 17.0 | 9095 | 1.4044 | 0.5778 | |
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| 0.0185 | 18.0 | 9630 | 1.4234 | 0.5650 | |
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| 0.0168 | 19.0 | 10165 | 1.4384 | 0.5727 | |
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| 0.0224 | 20.0 | 10700 | 1.4260 | 0.5780 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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