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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - quail
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+ model-index:
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+ - name: longformer_quail
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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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+ # longformer_quail
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+
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+ This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the quail dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 1.9568
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+ - eval_accuracy: 0.5791
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+ - eval_runtime: 44.254
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+ - eval_samples_per_second: 12.564
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+ - eval_steps_per_second: 6.282
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+ - epoch: 4.0
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+ - step: 816
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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: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 25
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+ - total_train_batch_size: 50
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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: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.3
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+ - Pytorch 1.12.1
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+ - Datasets 2.5.1
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+ - Tokenizers 0.11.0