transformers safetensors bert text-classification generated_from_trainer license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-4.0
pipeline_tag: text-classification
tags:
- generated_from_trainer
model-index:
- name: RE-SciBERT-finetuned-chemProt
  results: []
---

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# RE-SciBERT-finetuned-chemProt 

 

 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an  CHEMPROT dataset.

# Intended Use

This model is designed for relation extraction tasks within the biomedical domain, particularly focusing on chemical-protein interactions.

# Usage

Ideal for text classification and extraction in biomedical research and applications involving chemical and protein interactions.
### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- weight_decay: 0.01
- num_epochs: 2

# Framework versions
Transformers 4.46.0
  
Tokenizers 1.0.0