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- ---
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- tags:
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- - generated_from_trainer
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- metrics:
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- - precision
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- - recall
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- - f1
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- model-index:
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- - name: Original-scibert_scivocab_cased-BioRED-Chem-512-5-30
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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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- # Original-scibert_scivocab_cased-BioRED-Chem-512-5-30
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-
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- This model is a fine-tuned version of [allenai/scibert_scivocab_cased](https://huggingface.co/allenai/scibert_scivocab_cased) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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- - Precision: 1.0
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- - Recall: 1.0
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- - F1: 1.0
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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: 5
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- - eval_batch_size: 8
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- - seed: 1
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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: 30.0
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-
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- ### Training results
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-
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.11.3
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- - Pytorch 1.10.0+cu113
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- - Datasets 2.1.0
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- - Tokenizers 0.10.3