---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: bart-large-mnli-Kaggle-Science-LLM-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-Kaggle-Science-LLM-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: 2.7109

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7865        | 1.0   | 800  | 1.1187          |
| 0.6785        | 2.0   | 1600 | 1.2005          |
| 0.774         | 3.0   | 2400 | 1.1685          |
| 0.4621        | 4.0   | 3200 | 1.3130          |
| 0.4138        | 5.0   | 4000 | 2.2119          |
| 0.3162        | 6.0   | 4800 | 2.0261          |
| 0.2778        | 7.0   | 5600 | 1.9403          |
| 0.2476        | 8.0   | 6400 | 2.5232          |
| 0.1718        | 9.0   | 7200 | 2.6737          |
| 0.0869        | 10.0  | 8000 | 2.7109          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3