---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: Bart_classifier_3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bart_classifier_3

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: 0.4728

## 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: 48
- eval_batch_size: 48
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0158        | 1.0   | 131  | 0.4728          |
| 0.003         | 2.0   | 262  | 0.6695          |
| 0.0025        | 3.0   | 393  | 0.6551          |
| 0.0039        | 4.0   | 524  | 0.6540          |
| 0.003         | 5.0   | 655  | 0.6842          |
| 0.0039        | 6.0   | 786  | 0.6003          |
| 0.0007        | 7.0   | 917  | 0.7564          |
| 0.0007        | 8.0   | 1048 | 0.6505          |
| 0.0008        | 9.0   | 1179 | 0.7177          |
| 0.0001        | 10.0  | 1310 | 0.7135          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1