File size: 3,580 Bytes
3539648 |
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 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-uncased_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-uncased_finetuned_docvqa
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: 3.6030
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.326 | 0.22 | 50 | 4.4949 |
| 4.292 | 0.44 | 100 | 3.9510 |
| 3.9419 | 0.66 | 150 | 3.9100 |
| 3.6895 | 0.88 | 200 | 3.5035 |
| 3.4052 | 1.11 | 250 | 3.4030 |
| 3.1405 | 1.33 | 300 | 3.2100 |
| 2.8966 | 1.55 | 350 | 2.9803 |
| 2.7874 | 1.77 | 400 | 2.7811 |
| 2.5385 | 1.99 | 450 | 2.4748 |
| 2.1532 | 2.21 | 500 | 2.5843 |
| 1.994 | 2.43 | 550 | 2.5459 |
| 1.8322 | 2.65 | 600 | 2.2316 |
| 1.7005 | 2.88 | 650 | 2.1888 |
| 1.4758 | 3.1 | 700 | 2.4578 |
| 1.3543 | 3.32 | 750 | 2.3368 |
| 1.1939 | 3.54 | 800 | 2.9737 |
| 1.294 | 3.76 | 850 | 2.4907 |
| 1.4519 | 3.98 | 900 | 1.9276 |
| 1.0517 | 4.2 | 950 | 2.9981 |
| 0.8171 | 4.42 | 1000 | 2.5618 |
| 1.0456 | 4.65 | 1050 | 2.3139 |
| 0.9222 | 4.87 | 1100 | 2.4243 |
| 0.758 | 5.09 | 1150 | 2.8167 |
| 0.7203 | 5.31 | 1200 | 2.9342 |
| 0.6748 | 5.53 | 1250 | 2.6396 |
| 0.6821 | 5.75 | 1300 | 2.5629 |
| 0.5898 | 5.97 | 1350 | 3.0276 |
| 0.3135 | 6.19 | 1400 | 3.2611 |
| 0.4407 | 6.42 | 1450 | 3.1793 |
| 0.5303 | 6.64 | 1500 | 3.0511 |
| 0.5294 | 6.86 | 1550 | 3.1106 |
| 0.3149 | 7.08 | 1600 | 3.2933 |
| 0.199 | 7.3 | 1650 | 3.4207 |
| 0.164 | 7.52 | 1700 | 3.4379 |
| 0.5258 | 7.74 | 1750 | 3.1339 |
| 0.336 | 7.96 | 1800 | 3.2394 |
| 0.3294 | 8.19 | 1850 | 3.0956 |
| 0.1587 | 8.41 | 1900 | 3.4282 |
| 0.2375 | 8.63 | 1950 | 3.3718 |
| 0.117 | 8.85 | 2000 | 3.5646 |
| 0.2873 | 9.07 | 2050 | 3.5213 |
| 0.2206 | 9.29 | 2100 | 3.5387 |
| 0.2503 | 9.51 | 2150 | 3.5683 |
| 0.0763 | 9.73 | 2200 | 3.6119 |
| 0.1344 | 9.96 | 2250 | 3.6030 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
|