---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2_docvqa_first
  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. -->

# layoutlmv2_docvqa_first

This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2572

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.8046        | 0.0221 | 10   | 4.6015          |
| 3.8232        | 0.0442 | 20   | 4.7682          |
| 3.7611        | 0.0664 | 30   | 4.6595          |
| 4.1572        | 0.0885 | 40   | 4.3268          |
| 4.1477        | 0.1106 | 50   | 4.0399          |
| 4.6312        | 0.1327 | 60   | 4.4170          |
| 4.2506        | 0.1549 | 70   | 3.8923          |
| 3.814         | 0.1770 | 80   | 4.2276          |
| 4.517         | 0.1991 | 90   | 4.2349          |
| 4.5446        | 0.2212 | 100  | 3.7886          |
| 4.482         | 0.2434 | 110  | 3.7871          |
| 4.0186        | 0.2655 | 120  | 3.8549          |
| 3.6858        | 0.2876 | 130  | 3.8050          |
| 3.826         | 0.3097 | 140  | 3.7714          |
| 3.6791        | 0.3319 | 150  | 4.1984          |
| 4.1924        | 0.3540 | 160  | 3.7813          |
| 3.8497        | 0.3761 | 170  | 3.6755          |
| 3.6868        | 0.3982 | 180  | 3.8626          |
| 4.4311        | 0.4204 | 190  | 3.6253          |
| 3.7333        | 0.4425 | 200  | 3.5505          |
| 3.971         | 0.4646 | 210  | 3.6746          |
| 3.5623        | 0.4867 | 220  | 3.4512          |
| 3.3989        | 0.5088 | 230  | 3.3751          |
| 3.5899        | 0.5310 | 240  | 3.3715          |
| 2.9724        | 0.5531 | 250  | 3.5085          |
| 4.0829        | 0.5752 | 260  | 3.4023          |
| 3.4239        | 0.5973 | 270  | 3.2687          |
| 3.3833        | 0.6195 | 280  | 3.4527          |
| 4.1309        | 0.6416 | 290  | 3.5902          |
| 3.7569        | 0.6637 | 300  | 3.3229          |
| 3.5462        | 0.6858 | 310  | 3.3342          |
| 3.4489        | 0.7080 | 320  | 3.3608          |
| 2.9949        | 0.7301 | 330  | 3.3340          |
| 3.3155        | 0.7522 | 340  | 3.3299          |
| 3.2365        | 0.7743 | 350  | 3.4070          |
| 3.3671        | 0.7965 | 360  | 3.3916          |
| 3.3138        | 0.8186 | 370  | 3.2162          |
| 3.6234        | 0.8407 | 380  | 3.1907          |
| 3.7106        | 0.8628 | 390  | 3.2870          |
| 2.9935        | 0.8850 | 400  | 3.2960          |
| 3.4659        | 0.9071 | 410  | 3.2714          |
| 2.8749        | 0.9292 | 420  | 3.2891          |
| 3.378         | 0.9513 | 430  | 3.2819          |
| 3.1755        | 0.9735 | 440  | 3.2651          |
| 3.4684        | 0.9956 | 450  | 3.2572          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1