File size: 2,693 Bytes
0e8c6c5 7ea6e4e 0e8c6c5 7ea6e4e 0e8c6c5 7ea6e4e 0e8c6c5 |
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 76 77 78 79 80 81 82 83 84 |
---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutlmv2-base-uncased
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-finetuned_docvqa
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-finetuned_docvqa
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: 2.9372
## 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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2741 | 0.22 | 50 | 4.5078 |
| 4.3688 | 0.44 | 100 | 4.2690 |
| 4.1035 | 0.66 | 150 | 3.7153 |
| 3.8461 | 0.88 | 200 | 3.6182 |
| 3.6142 | 1.11 | 250 | 3.4844 |
| 3.0794 | 1.33 | 300 | 3.2514 |
| 3.0315 | 1.55 | 350 | 3.3487 |
| 2.8165 | 1.77 | 400 | 2.7495 |
| 2.6306 | 1.99 | 450 | 2.8793 |
| 2.2232 | 2.21 | 500 | 2.5794 |
| 2.0693 | 2.43 | 550 | 2.7011 |
| 2.0821 | 2.65 | 600 | 2.4160 |
| 1.9505 | 2.88 | 650 | 2.2413 |
| 1.7037 | 3.1 | 700 | 2.3263 |
| 1.6657 | 3.32 | 750 | 3.0268 |
| 1.5721 | 3.54 | 800 | 2.8429 |
| 1.3987 | 3.76 | 850 | 2.3589 |
| 1.3469 | 3.98 | 900 | 2.6879 |
| 1.0572 | 4.2 | 950 | 3.0299 |
| 1.046 | 4.42 | 1000 | 2.7357 |
| 0.9208 | 4.65 | 1050 | 2.9640 |
| 0.9383 | 4.87 | 1100 | 2.9712 |
| 0.8651 | 5.09 | 1150 | 3.0117 |
| 0.7581 | 5.31 | 1200 | 3.1530 |
| 0.779 | 5.53 | 1250 | 3.0349 |
| 0.8105 | 5.75 | 1300 | 2.8753 |
| 0.705 | 5.97 | 1350 | 2.9372 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|