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update model card README.md

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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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+ model-index:
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+ - name: tiny-mlm-glue-qqp
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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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+ # tiny-mlm-glue-qqp
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+
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+ This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5533
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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: 3e-05
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+ - train_batch_size: 32
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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: constant
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+ - num_epochs: 200
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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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+ | 4.313 | 0.4 | 500 | 3.8831 |
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+ | 4.1839 | 0.8 | 1000 | 3.7763 |
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+ | 4.0803 | 1.2 | 1500 | 3.6769 |
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+ | 3.9319 | 1.6 | 2000 | 3.6800 |
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+ | 3.8968 | 2.0 | 2500 | 3.6765 |
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+ | 3.8441 | 2.4 | 3000 | 3.5576 |
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+ | 3.7809 | 2.8 | 3500 | 3.6472 |
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+ | 3.8456 | 3.2 | 4000 | 3.5526 |
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+ | 3.682 | 3.6 | 4500 | 3.5926 |
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+ | 3.749 | 4.0 | 5000 | 3.5727 |
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+ | 3.6818 | 4.4 | 5500 | 3.5533 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.13.0+cu116
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+ - Datasets 2.8.1.dev0
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+ - Tokenizers 0.13.2