---
library_name: transformers
license: apache-2.0
base_model: sshleifer/distilbart-cnn-6-6
tags:
- generated_from_trainer
model-index:
- name: distilbart-invoice-model
  results: []
---

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# distilbart-invoice-model

This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0201

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 96   | 0.0457          |
| No log        | 2.0   | 192  | 0.0256          |
| No log        | 3.0   | 288  | 0.0209          |
| No log        | 4.0   | 384  | 0.0188          |
| No log        | 5.0   | 480  | 0.0202          |
| 0.122         | 6.0   | 576  | 0.0201          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1