---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: bart-large-mnli-finetuned
  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-large-mnli-finetuned

This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0001        | 1.0   | 8    | 0.0000          |
| 0.0005        | 2.0   | 16   | 0.0000          |
| 0.0034        | 3.0   | 24   | 0.0000          |
| 0.0           | 4.0   | 32   | 0.0000          |
| 0.0           | 5.0   | 40   | 0.0000          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.15.1