Update README.md

README.md

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----
-license: mit
-tags:
-- generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-model-index:
-- name: Original-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# Original-BiomedNLP-PubMedBERT-base-uncased-abstract-BioRED-Chem-512-5-30
-
-This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0000
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 5
-- eval_batch_size: 8
-- seed: 1
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 30.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.11.3
-- Pytorch 1.10.0+cu113
-- Datasets 2.1.0
-- Tokenizers 0.10.3