---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: Bart_Complaint_V3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bart_Complaint_V3

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1765

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3153        | 1.0   | 212  | 0.2400          |
| 0.2527        | 2.0   | 424  | 0.2025          |
| 0.1983        | 3.0   | 636  | 0.1864          |
| 0.1487        | 4.0   | 848  | 0.1765          |
| 0.1399        | 5.0   | 1060 | 0.1768          |
| 0.1169        | 6.0   | 1272 | 0.1841          |
| 0.0955        | 7.0   | 1484 | 0.1861          |
| 0.0835        | 8.0   | 1696 | 0.2001          |
| 0.0695        | 9.0   | 1908 | 0.2039          |
| 0.054         | 10.0  | 2120 | 0.2093          |


### Framework versions

- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1