---
license: mit
tags:
- generated_from_trainer
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
model-index:
- name: ELBase_RSAVAV_BiomedBERT
  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. -->

# ELBase_RSAVAV_BiomedBERT

This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.

## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1