---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart_nobos
  results: []
---

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

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1325

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 16   | 1.8701          |
| No log        | 2.0   | 32   | 1.8565          |
| No log        | 3.0   | 48   | 1.8991          |
| No log        | 4.0   | 64   | 2.0343          |
| No log        | 5.0   | 80   | 2.1420          |
| No log        | 6.0   | 96   | 2.2855          |
| No log        | 7.0   | 112  | 2.4398          |
| No log        | 8.0   | 128  | 2.5599          |
| No log        | 9.0   | 144  | 2.6860          |
| No log        | 10.0  | 160  | 2.7219          |
| No log        | 11.0  | 176  | 2.8293          |
| No log        | 12.0  | 192  | 2.9307          |
| No log        | 13.0  | 208  | 2.9679          |
| No log        | 14.0  | 224  | 3.0043          |
| No log        | 15.0  | 240  | 3.0355          |
| No log        | 16.0  | 256  | 3.0918          |
| No log        | 17.0  | 272  | 3.0862          |
| No log        | 18.0  | 288  | 3.1294          |
| No log        | 19.0  | 304  | 3.1342          |
| No log        | 20.0  | 320  | 3.1325          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1