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

This model is a fine-tuned version of [aparajitha/bart-base-sci](https://huggingface.co/aparajitha/bart-base-sci) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3036

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 274  | 2.5338          |
| 3.0007        | 2.0   | 548  | 2.4135          |
| 3.0007        | 3.0   | 822  | 2.3471          |
| 2.4247        | 4.0   | 1096 | 2.3202          |
| 2.4247        | 5.0   | 1370 | 2.3081          |
| 2.2917        | 6.0   | 1644 | 2.3036          |


### Framework versions

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