---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ENG-full-fined-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. -->

# ENG-full-fined-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: 2.5407
- F1: 0.0724

## 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   | 45   | 1.7846          | 0.0698 |
| No log        | 2.0   | 90   | 1.7658          | 0.0698 |
| No log        | 3.0   | 135  | 1.7458          | 0.0698 |
| No log        | 4.0   | 180  | 1.7913          | 0.0698 |
| No log        | 5.0   | 225  | 1.7677          | 0.1386 |
| No log        | 6.0   | 270  | 1.8333          | 0.1000 |
| No log        | 7.0   | 315  | 2.1814          | 0.0607 |
| No log        | 8.0   | 360  | 2.2701          | 0.0781 |
| No log        | 9.0   | 405  | 2.3223          | 0.1206 |
| No log        | 10.0  | 450  | 2.4003          | 0.0879 |
| No log        | 11.0  | 495  | 2.4776          | 0.0870 |
| 1.3449        | 12.0  | 540  | 2.5407          | 0.0724 |


### Framework versions

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