fine-tuned-rvl-cdip / README.md
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---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv3-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: fine-tuned-rvl-cdip
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/david_hajdu/huggingface/runs/0bqlwuvd)
# fine-tuned-rvl-cdip
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7731
- F1: 0.8177
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 96 | 2.0377 | 0.4479 |
| No log | 2.0 | 192 | 1.3075 | 0.6641 |
| No log | 3.0 | 288 | 0.9850 | 0.7240 |
| No log | 4.0 | 384 | 0.8775 | 0.7630 |
| No log | 5.0 | 480 | 0.7824 | 0.7865 |
| 1.2987 | 6.0 | 576 | 0.7516 | 0.8021 |
| 1.2987 | 7.0 | 672 | 0.7688 | 0.7865 |
| 1.2987 | 8.0 | 768 | 0.7462 | 0.8125 |
| 1.2987 | 9.0 | 864 | 0.7731 | 0.8177 |
| 1.2987 | 10.0 | 960 | 0.7755 | 0.8125 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1