---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Hypernymy-Aware-BERT-Medical-v4
  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. -->

# Hypert-medical

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) 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: 5e-05
- train_batch_size: 36
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 216
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 10000

### Training results



### Framework versions

- Transformers 4.21.0
- Pytorch 1.10.1+cu111
- Datasets 2.10.1
- Tokenizers 0.12.1