---
license: apache-2.0
base_model: mse30/bart-base-finetuned-pubmed
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: unipelt
  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. -->

# unipelt

This model is a fine-tuned version of [mse30/bart-base-finetuned-pubmed](https://huggingface.co/mse30/bart-base-finetuned-pubmed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.5256
- Accuracy: 0.0167

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1