metadata
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: []
fine-tuned-rvl-cdip
This model is a fine-tuned version of 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