---
license: apache-2.0
base_model: aparajitha/bart-base-sci-tr
tags:
- generated_from_trainer
model-index:
- name: bart-base-sci-ms-tr
  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. -->

# bart-base-sci-ms-tr

This model is a fine-tuned version of [aparajitha/bart-base-sci-tr](https://huggingface.co/aparajitha/bart-base-sci-tr) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1887

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.4897        | 1.0   | 2184  | 2.2884          |
| 2.2378        | 2.0   | 4368  | 2.2122          |
| 2.0913        | 3.0   | 6552  | 2.1909          |
| 2.0012        | 4.0   | 8736  | 2.1907          |
| 1.8773        | 5.0   | 10920 | 2.1834          |
| 1.8211        | 6.0   | 13104 | 2.1887          |


### Framework versions

- Transformers 4.43.4
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.19.1