---
license: cc-by-sa-4.0
base_model: sguarnaccio/document_type_identification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: document_type_identification
  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. -->

# document_type_identification

This model is a fine-tuned version of [sguarnaccio/document_type_identification](https://huggingface.co/sguarnaccio/document_type_identification) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1899
- Accuracy: 0.9452

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3343        | 1.0   | 748  | 0.1788          | 0.9264   |
| 0.2262        | 2.0   | 1496 | 0.2216          | 0.9365   |
| 0.1487        | 3.0   | 2244 | 0.1899          | 0.9452   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2