---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: Bart-base-v2
  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-v2

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: nan

## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 985982.912    | 0.24  | 250  | nan             |
| 0.0           | 0.48  | 500  | nan             |
| 0.0           | 0.72  | 750  | nan             |
| 0.0           | 0.96  | 1000 | nan             |
| 0.0           | 1.2   | 1250 | nan             |
| 0.0           | 1.44  | 1500 | nan             |
| 0.0           | 1.69  | 1750 | nan             |
| 0.0           | 1.93  | 2000 | nan             |
| 0.0           | 2.17  | 2250 | nan             |
| 0.0           | 2.41  | 2500 | nan             |
| 0.0           | 2.65  | 2750 | nan             |
| 0.0           | 2.89  | 3000 | nan             |
| 0.0           | 3.13  | 3250 | nan             |
| 0.0           | 3.37  | 3500 | nan             |
| 0.0           | 3.61  | 3750 | nan             |
| 0.0           | 3.85  | 4000 | nan             |
| 0.0           | 4.09  | 4250 | nan             |
| 0.0           | 4.33  | 4500 | nan             |
| 0.0           | 4.57  | 4750 | nan             |
| 0.0           | 4.81  | 5000 | nan             |
| 0.0           | 5.06  | 5250 | nan             |
| 0.0           | 5.3   | 5500 | nan             |
| 0.0           | 5.54  | 5750 | nan             |
| 0.0           | 5.78  | 6000 | nan             |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2