---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: short-stories-lol-fine-tuned
  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. -->

# short-stories-lol-fine-tuned

This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7862
- F1: 0.1353

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 44   | 1.7573          | 0.0698 |
| No log        | 2.0   | 88   | 1.7508          | 0.0569 |
| No log        | 3.0   | 132  | 1.8932          | 0.0569 |
| No log        | 4.0   | 176  | 1.9888          | 0.1432 |
| No log        | 5.0   | 220  | 2.4816          | 0.0702 |
| No log        | 6.0   | 264  | 2.8377          | 0.0859 |
| No log        | 7.0   | 308  | 3.3364          | 0.1256 |
| No log        | 8.0   | 352  | 3.2681          | 0.1017 |
| No log        | 9.0   | 396  | 3.5178          | 0.1179 |
| No log        | 10.0  | 440  | 3.7246          | 0.1548 |
| No log        | 11.0  | 484  | 3.7577          | 0.1353 |
| 0.6317        | 12.0  | 528  | 3.7862          | 0.1353 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2