File size: 2,253 Bytes
9ba0e5e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-uncased_finetuned_passport
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-base-uncased_finetuned_passport
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9620
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.409 | 2.78 | 50 | 2.3859 |
| 1.959 | 5.56 | 100 | 2.1196 |
| 1.5433 | 8.33 | 150 | 1.7951 |
| 1.1748 | 11.11 | 200 | 1.5172 |
| 0.87 | 13.89 | 250 | 1.3040 |
| 0.6342 | 16.67 | 300 | 1.1525 |
| 0.4597 | 19.44 | 350 | 1.0532 |
| 0.3338 | 22.22 | 400 | 0.9942 |
| 0.2429 | 25.0 | 450 | 0.9632 |
| 0.1786 | 27.78 | 500 | 0.9509 |
| 0.1347 | 30.56 | 550 | 0.9486 |
| 0.143 | 33.33 | 600 | 0.9500 |
| 0.0976 | 36.11 | 650 | 0.9527 |
| 0.0874 | 38.89 | 700 | 0.9556 |
| 0.0808 | 41.67 | 750 | 0.9582 |
| 0.0746 | 44.44 | 800 | 0.9603 |
| 0.073 | 47.22 | 850 | 0.9615 |
| 0.0717 | 50.0 | 900 | 0.9620 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|