---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: bart-noised-with-babylon-dist
  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-noised-with-babylon-dist

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:
- Loss: 0.2462

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.543         | 0.11  | 500   | 0.3991          |
| 0.4213        | 0.21  | 1000  | 0.3544          |
| 0.3907        | 0.32  | 1500  | 0.3328          |
| 0.4101        | 0.43  | 2000  | 0.3178          |
| 0.2998        | 0.54  | 2500  | 0.3148          |
| 0.3549        | 0.64  | 3000  | 0.2948          |
| 0.3401        | 0.75  | 3500  | 0.2861          |
| 0.3304        | 0.86  | 4000  | 0.2802          |
| 0.3404        | 0.96  | 4500  | 0.2749          |
| 0.2548        | 1.07  | 5000  | 0.2730          |
| 0.2725        | 1.18  | 5500  | 0.2696          |
| 0.2305        | 1.28  | 6000  | 0.2755          |
| 0.2424        | 1.39  | 6500  | 0.2647          |
| 0.2638        | 1.5   | 7000  | 0.2601          |
| 0.2276        | 1.61  | 7500  | 0.2622          |
| 0.2299        | 1.71  | 8000  | 0.2587          |
| 0.2817        | 1.82  | 8500  | 0.2519          |
| 0.2252        | 1.93  | 9000  | 0.2505          |
| 0.2022        | 2.03  | 9500  | 0.2554          |
| 0.1722        | 2.14  | 10000 | 0.2558          |
| 0.1878        | 2.25  | 10500 | 0.2546          |
| 0.2093        | 2.35  | 11000 | 0.2521          |
| 0.1656        | 2.46  | 11500 | 0.2513          |
| 0.1921        | 2.57  | 12000 | 0.2478          |
| 0.1754        | 2.68  | 12500 | 0.2468          |
| 0.2081        | 2.78  | 13000 | 0.2469          |
| 0.1707        | 2.89  | 13500 | 0.2472          |
| 0.2068        | 3.0   | 14000 | 0.2462          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1