File size: 1,915 Bytes
352c46a |
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 |
---
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
|