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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - super_glue
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: superglue_rte-bert-base-uncased
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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: super_glue
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+ type: super_glue
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+ config: rte
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+ split: validation
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+ args: rte
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.631768953068592
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+ ---
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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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+
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+ # superglue_rte-bert-base-uncased
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.9334
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+ - Accuracy: 0.6318
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 32
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.6845 | 1.0 | 623 | 0.6880 | 0.5379 |
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+ | 0.6015 | 2.0 | 1246 | 0.8206 | 0.6426 |
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+ | 0.5012 | 3.0 | 1869 | 1.4769 | 0.6354 |
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+ | 0.4173 | 4.0 | 2492 | 1.7735 | 0.6570 |
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+ | 0.078 | 5.0 | 3115 | 2.2116 | 0.6354 |
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+ | 0.0732 | 6.0 | 3738 | 2.6033 | 0.6318 |
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+ | 0.0703 | 7.0 | 4361 | 2.7944 | 0.6390 |
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+ | 0.0543 | 8.0 | 4984 | 2.6007 | 0.6462 |
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+ | 0.0505 | 9.0 | 5607 | 2.4168 | 0.6462 |
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+ | 0.0412 | 10.0 | 6230 | 2.7503 | 0.6787 |
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+ | 0.0303 | 11.0 | 6853 | 3.2166 | 0.6643 |
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+ | 0.0214 | 12.0 | 7476 | 3.0135 | 0.6498 |
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+ | 0.0416 | 13.0 | 8099 | 2.9919 | 0.6534 |
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+ | 0.0252 | 14.0 | 8722 | 3.0985 | 0.6570 |
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+ | 0.0122 | 15.0 | 9345 | 3.5950 | 0.6209 |
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+ | 0.009 | 16.0 | 9968 | 3.5463 | 0.6354 |
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+ | 0.0034 | 17.0 | 10591 | 3.6333 | 0.6570 |
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+ | 0.0109 | 18.0 | 11214 | 3.6860 | 0.6426 |
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+ | 0.0041 | 19.0 | 11837 | 3.9160 | 0.6354 |
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+ | 0.0 | 20.0 | 12460 | 3.9334 | 0.6318 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 1.13.0+cu117
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+ - Datasets 2.15.0
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+ - Tokenizers 0.13.3
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