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# 2024-01-13_one_stage_subgraphs_weighted_entropyreg_txt_vis_conc_1_4_8_12_ramp

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3795
- Accuracy: 0.7725
- Exit 0 Accuracy: 0.07
- Exit 1 Accuracy: 0.125
- Exit 2 Accuracy: 0.0625
- Exit 3 Accuracy: 0.245
- Exit 4 Accuracy: 0.7725

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:---------------:|:---------------:|:---------------:|:---------------:|
| No log        | 0.96  | 16   | 2.6843          | 0.145    | 0.0625          | 0.06            | 0.0625          | 0.0625          | 0.0775          |
| No log        | 1.98  | 33   | 2.5236          | 0.235    | 0.065           | 0.0575          | 0.0625          | 0.0625          | 0.07            |
| No log        | 3.0   | 50   | 2.3426          | 0.295    | 0.07            | 0.0775          | 0.0625          | 0.0625          | 0.0875          |
| No log        | 3.96  | 66   | 2.0720          | 0.4325   | 0.07            | 0.0575          | 0.0625          | 0.0625          | 0.175           |
| No log        | 4.98  | 83   | 1.7731          | 0.5625   | 0.0775          | 0.06            | 0.0625          | 0.0625          | 0.205           |
| No log        | 6.0   | 100  | 1.4772          | 0.6325   | 0.0775          | 0.06            | 0.0625          | 0.0625          | 0.2675          |
| No log        | 6.96  | 116  | 1.3020          | 0.6825   | 0.0775          | 0.06            | 0.0625          | 0.0625          | 0.2725          |
| No log        | 7.98  | 133  | 1.2047          | 0.695    | 0.0775          | 0.06            | 0.0625          | 0.0625          | 0.2975          |
| No log        | 9.0   | 150  | 1.0199          | 0.7275   | 0.08            | 0.0775          | 0.0625          | 0.0625          | 0.36            |
| No log        | 9.96  | 166  | 0.9695          | 0.7475   | 0.075           | 0.09            | 0.0625          | 0.0625          | 0.3725          |
| No log        | 10.98 | 183  | 0.9615          | 0.735    | 0.075           | 0.07            | 0.0625          | 0.0625          | 0.36            |
| No log        | 12.0  | 200  | 0.8820          | 0.7625   | 0.0775          | 0.0725          | 0.0625          | 0.0625          | 0.405           |
| No log        | 12.96 | 216  | 0.8366          | 0.7775   | 0.0775          | 0.0925          | 0.0625          | 0.0625          | 0.46            |
| No log        | 13.98 | 233  | 0.9282          | 0.7425   | 0.0725          | 0.0725          | 0.0625          | 0.0625          | 0.485           |
| No log        | 15.0  | 250  | 0.8892          | 0.775    | 0.0725          | 0.075           | 0.0625          | 0.0625          | 0.5425          |
| No log        | 15.96 | 266  | 0.9007          | 0.7725   | 0.0775          | 0.0675          | 0.0625          | 0.0625          | 0.6             |
| No log        | 16.98 | 283  | 0.9852          | 0.78     | 0.08            | 0.065           | 0.0625          | 0.0625          | 0.6975          |
| No log        | 18.0  | 300  | 1.0003          | 0.7725   | 0.08            | 0.0825          | 0.0625          | 0.0625          | 0.7225          |
| No log        | 18.96 | 316  | 1.0240          | 0.7725   | 0.0825          | 0.0625          | 0.0625          | 0.0625          | 0.755           |
| No log        | 19.98 | 333  | 1.0590          | 0.7675   | 0.0825          | 0.0675          | 0.0625          | 0.0625          | 0.765           |
| No log        | 21.0  | 350  | 1.0711          | 0.7875   | 0.08            | 0.0675          | 0.0625          | 0.0625          | 0.765           |
| No log        | 21.96 | 366  | 1.0608          | 0.79     | 0.0775          | 0.0675          | 0.0625          | 0.0625          | 0.775           |
| No log        | 22.98 | 383  | 1.0783          | 0.7875   | 0.08            | 0.0725          | 0.0625          | 0.0625          | 0.7825          |
| No log        | 24.0  | 400  | 1.0824          | 0.795    | 0.0825          | 0.0725          | 0.0625          | 0.0625          | 0.7825          |
| No log        | 24.96 | 416  | 1.1069          | 0.7875   | 0.0775          | 0.075           | 0.0625          | 0.0625          | 0.785           |
| No log        | 25.98 | 433  | 1.2211          | 0.78     | 0.08            | 0.0725          | 0.0625          | 0.0625          | 0.78            |
| No log        | 27.0  | 450  | 1.1631          | 0.785    | 0.0675          | 0.0775          | 0.0625          | 0.0625          | 0.7875          |
| No log        | 27.96 | 466  | 1.1776          | 0.7825   | 0.0675          | 0.0775          | 0.0625          | 0.0625          | 0.7875          |
| No log        | 28.98 | 483  | 1.1849          | 0.7825   | 0.065           | 0.085           | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 30.0  | 500  | 1.1852          | 0.785    | 0.065           | 0.105           | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 30.96 | 516  | 1.1967          | 0.79     | 0.06            | 0.1075          | 0.0625          | 0.0625          | 0.7875          |
| 0.5891        | 31.98 | 533  | 1.2037          | 0.785    | 0.0575          | 0.1075          | 0.0625          | 0.0625          | 0.7825          |
| 0.5891        | 33.0  | 550  | 1.2052          | 0.7875   | 0.0575          | 0.1125          | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 33.96 | 566  | 1.2178          | 0.785    | 0.06            | 0.11            | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 34.98 | 583  | 1.2343          | 0.785    | 0.055           | 0.11            | 0.0625          | 0.0625          | 0.7825          |
| 0.5891        | 36.0  | 600  | 1.2615          | 0.7825   | 0.0575          | 0.11            | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 36.96 | 616  | 1.2181          | 0.785    | 0.0625          | 0.1125          | 0.0625          | 0.0625          | 0.7875          |
| 0.5891        | 37.98 | 633  | 1.2121          | 0.7925   | 0.065           | 0.115           | 0.0625          | 0.0625          | 0.7875          |
| 0.5891        | 39.0  | 650  | 1.2384          | 0.79     | 0.0675          | 0.115           | 0.0625          | 0.0625          | 0.785           |
| 0.5891        | 39.96 | 666  | 1.2571          | 0.785    | 0.065           | 0.12            | 0.0625          | 0.0625          | 0.7825          |
| 0.5891        | 40.98 | 683  | 1.2758          | 0.78     | 0.065           | 0.12            | 0.0625          | 0.0625          | 0.78            |
| 0.5891        | 42.0  | 700  | 1.2913          | 0.7825   | 0.065           | 0.12            | 0.0625          | 0.0625          | 0.7825          |
| 0.5891        | 42.96 | 716  | 1.2980          | 0.78     | 0.065           | 0.1225          | 0.0625          | 0.0625          | 0.78            |
| 0.5891        | 43.98 | 733  | 1.2975          | 0.78     | 0.065           | 0.125           | 0.0625          | 0.1             | 0.78            |
| 0.5891        | 45.0  | 750  | 1.3064          | 0.7775   | 0.0675          | 0.1225          | 0.0625          | 0.11            | 0.7825          |
| 0.5891        | 45.96 | 766  | 1.3134          | 0.7825   | 0.0675          | 0.1225          | 0.0625          | 0.1225          | 0.7825          |
| 0.5891        | 46.98 | 783  | 1.3209          | 0.7775   | 0.07            | 0.12            | 0.0625          | 0.1225          | 0.78            |
| 0.5891        | 48.0  | 800  | 1.3249          | 0.7775   | 0.07            | 0.1275          | 0.0625          | 0.1225          | 0.7825          |
| 0.5891        | 48.96 | 816  | 1.3249          | 0.7775   | 0.07            | 0.1275          | 0.0625          | 0.1225          | 0.78            |
| 0.5891        | 49.98 | 833  | 1.3328          | 0.7775   | 0.07            | 0.125           | 0.0625          | 0.1225          | 0.78            |
| 0.5891        | 51.0  | 850  | 1.3424          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.12            | 0.775           |
| 0.5891        | 51.96 | 866  | 1.3513          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.1325          | 0.7725          |
| 0.5891        | 52.98 | 883  | 1.3616          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.14            | 0.7725          |
| 0.5891        | 54.0  | 900  | 1.3704          | 0.7775   | 0.07            | 0.125           | 0.0625          | 0.175           | 0.7775          |
| 0.5891        | 54.96 | 916  | 1.3754          | 0.7775   | 0.07            | 0.125           | 0.0625          | 0.2175          | 0.775           |
| 0.5891        | 55.98 | 933  | 1.3784          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.2375          | 0.7725          |
| 0.5891        | 57.0  | 950  | 1.3794          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.245           | 0.7725          |
| 0.5891        | 57.6  | 960  | 1.3795          | 0.7725   | 0.07            | 0.125           | 0.0625          | 0.245           | 0.7725          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "2024-01-13_one_stage_subgraphs_weighted_entropyreg_txt_vis_conc_1_4_8_12_ramp", "results": []}]}
transformers pytorch tensorboard layoutlmv3 text-classification generated_from_trainer base_model:microsoft/layoutlmv3-base license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us