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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: roberta-base
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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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+ model-index:
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+ - name: boolq_model
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+ results: []
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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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+ # boolq_model
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9634
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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: 1e-05
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+ - train_batch_size: 8
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6143 | 1.0 | 1179 | 0.5687 |
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+ | 0.4884 | 2.0 | 2358 | 0.4964 |
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+ | 0.3786 | 3.0 | 3537 | 0.5867 |
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+ | 0.3378 | 4.0 | 4716 | 0.8469 |
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+ | 0.3052 | 5.0 | 5895 | 0.9634 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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