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

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: 0.0005

## 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-06
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0687        | 1.0   | 61   | 0.0165          |
| 0.0047        | 2.0   | 122  | 0.0046          |
| 0.001         | 3.0   | 183  | 0.0009          |
| 0.0006        | 4.0   | 244  | 0.0004          |
| 0.0004        | 5.0   | 305  | 0.0005          |
| 0.0021        | 6.0   | 366  | 0.0006          |
| 0.0003        | 7.0   | 427  | 0.0006          |
| 0.0003        | 8.0   | 488  | 0.0006          |
| 0.0009        | 9.0   | 549  | 0.0007          |
| 0.0003        | 10.0  | 610  | 0.0005          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1