---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: tgoktug/medical_sumamry_bart_model
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# tgoktug/medical_sumamry_bart_model

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3434
- Validation Loss: 0.7118
- Epoch: 9

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 0.8460     | 0.6691          | 0     |
| 0.6843     | 0.6561          | 1     |
| 0.6166     | 0.6384          | 2     |
| 0.5645     | 0.6365          | 3     |
| 0.5187     | 0.6444          | 4     |
| 0.4770     | 0.6536          | 5     |
| 0.4394     | 0.6600          | 6     |
| 0.4046     | 0.6675          | 7     |
| 0.3729     | 0.6862          | 8     |
| 0.3434     | 0.7118          | 9     |


### Framework versions

- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3