|
--- |
|
license: cc-by-nc-sa-4.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: layoutlmv2-large-uncased-finetuned-vi-infovqa |
|
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-large-uncased-finetuned-vi-infovqa |
|
|
|
This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 6.2383 |
|
|
|
## 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: 2 |
|
- seed: 250500 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 5.9983 | 0.83 | 500 | 6.2383 | |
|
| 6.2621 | 1.65 | 1000 | 6.2383 | |
|
| 6.2492 | 2.48 | 1500 | 6.2383 | |
|
| 6.2548 | 3.3 | 2000 | 6.2383 | |
|
| 6.2515 | 4.13 | 2500 | 6.2383 | |
|
| 6.2543 | 4.95 | 3000 | 6.2383 | |
|
| 6.2545 | 5.78 | 3500 | 6.2383 | |
|
| 6.247 | 6.6 | 4000 | 6.2383 | |
|
| 6.2499 | 7.43 | 4500 | 6.2383 | |
|
| 6.2434 | 8.25 | 5000 | 6.2383 | |
|
| 6.2416 | 9.08 | 5500 | 6.2383 | |
|
| 6.2425 | 9.9 | 6000 | 6.2383 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.14.1 |
|
- Pytorch 1.8.0+cu101 |
|
- Datasets 1.16.1 |
|
- Tokenizers 0.10.3 |
|
|
