---
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: 2.8437
- F1: 0.3541

## 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   | 88   | 1.7166          | 0.0753 |
| No log        | 2.0   | 176  | 1.7786          | 0.0482 |
| No log        | 3.0   | 264  | 1.7416          | 0.0575 |
| No log        | 4.0   | 352  | 1.6967          | 0.1203 |
| No log        | 5.0   | 440  | 1.6729          | 0.1636 |
| 1.7288        | 6.0   | 528  | 1.6480          | 0.2956 |
| 1.7288        | 7.0   | 616  | 1.7791          | 0.3345 |
| 1.7288        | 8.0   | 704  | 2.1510          | 0.3117 |
| 1.7288        | 9.0   | 792  | 2.2252          | 0.3376 |
| 1.7288        | 10.0  | 880  | 2.5299          | 0.3613 |
| 1.7288        | 11.0  | 968  | 2.7822          | 0.3640 |
| 0.2608        | 12.0  | 1056 | 2.8437          | 0.3541 |


### Framework versions

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