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--- |
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language: |
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- en |
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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-cola |
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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 COLA |
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type: glue |
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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: 0.5880094937717885 |
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- task: |
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type: text-classification |
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name: 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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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8322147651006712 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.830203748981255 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.8322147651006712 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.8315568610076411 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.7617741060121812 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.8322147651006712 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.8322147651006712 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.7831814623565482 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.8322147651006712 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.8226255909753084 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.5406177043914795 |
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verified: true |
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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-cola |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE COLA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5406 |
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- Matthews Correlation: 0.5880 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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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: 3.0 |
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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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| No log | 1.0 | 268 | 0.4598 | 0.5135 | |
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| 0.393 | 2.0 | 536 | 0.4875 | 0.5573 | |
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| 0.393 | 3.0 | 804 | 0.5406 | 0.5880 | |
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### Framework versions |
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- Transformers 4.20.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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