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# 2024-01-04_one_stage_subgraphs_weighted_txt_vis_conc_2_5_9_11_gate

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: 1.0946
- Accuracy: 0.785
- Exit 0 Accuracy: 0.0525
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.0725
- Exit 3 Accuracy: 0.0625
- Exit 4 Accuracy: 0.52

## 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   | 2.6478          | 0.1925   | 0.0625          | 0.0625          | 0.0625          | 0.08            | 0.0625          |
| No log        | 1.98  | 33   | 2.4825          | 0.27     | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.0   | 50   | 2.2710          | 0.2975   | 0.06            | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.96  | 66   | 2.0409          | 0.4125   | 0.05            | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 4.98  | 83   | 1.7483          | 0.55     | 0.0375          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 6.0   | 100  | 1.4619          | 0.65     | 0.0325          | 0.0625          | 0.065           | 0.0625          | 0.0625          |
| No log        | 6.96  | 116  | 1.2754          | 0.68     | 0.035           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 7.98  | 133  | 1.1304          | 0.7125   | 0.0375          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 9.0   | 150  | 1.0446          | 0.7175   | 0.0375          | 0.0625          | 0.06            | 0.0625          | 0.0625          |
| No log        | 9.96  | 166  | 0.9698          | 0.745    | 0.0375          | 0.0625          | 0.0625          | 0.0625          | 0.065           |
| No log        | 10.98 | 183  | 0.9085          | 0.75     | 0.04            | 0.0625          | 0.0625          | 0.0625          | 0.085           |
| No log        | 12.0  | 200  | 0.8824          | 0.7475   | 0.0425          | 0.0625          | 0.0575          | 0.0625          | 0.09            |
| No log        | 12.96 | 216  | 0.8442          | 0.7675   | 0.0375          | 0.0625          | 0.0675          | 0.0625          | 0.095           |
| No log        | 13.98 | 233  | 0.8808          | 0.7725   | 0.0425          | 0.0625          | 0.065           | 0.0625          | 0.105           |
| No log        | 15.0  | 250  | 0.8276          | 0.7725   | 0.0375          | 0.0625          | 0.0675          | 0.0625          | 0.1             |
| No log        | 15.96 | 266  | 0.8572          | 0.775    | 0.0425          | 0.0625          | 0.06            | 0.0625          | 0.11            |
| No log        | 16.98 | 283  | 0.8874          | 0.78     | 0.045           | 0.0625          | 0.0625          | 0.0625          | 0.1125          |
| No log        | 18.0  | 300  | 1.0065          | 0.7575   | 0.0475          | 0.0625          | 0.0625          | 0.0625          | 0.14            |
| No log        | 18.96 | 316  | 0.9279          | 0.775    | 0.0475          | 0.0625          | 0.07            | 0.0625          | 0.12            |
| No log        | 19.98 | 333  | 0.9474          | 0.76     | 0.05            | 0.0625          | 0.075           | 0.0625          | 0.1475          |
| No log        | 21.0  | 350  | 0.9407          | 0.775    | 0.0375          | 0.0625          | 0.07            | 0.0625          | 0.1475          |
| No log        | 21.96 | 366  | 0.9644          | 0.78     | 0.04            | 0.0625          | 0.065           | 0.0625          | 0.18            |
| No log        | 22.98 | 383  | 0.9690          | 0.7825   | 0.04            | 0.0625          | 0.07            | 0.0625          | 0.1925          |
| No log        | 24.0  | 400  | 0.9678          | 0.7825   | 0.045           | 0.0625          | 0.07            | 0.0625          | 0.2325          |
| No log        | 24.96 | 416  | 0.9804          | 0.785    | 0.0425          | 0.0625          | 0.07            | 0.0625          | 0.2625          |
| No log        | 25.98 | 433  | 0.9877          | 0.785    | 0.0475          | 0.0625          | 0.075           | 0.0625          | 0.3225          |
| No log        | 27.0  | 450  | 0.9941          | 0.79     | 0.0475          | 0.0625          | 0.0725          | 0.0625          | 0.3825          |
| No log        | 27.96 | 466  | 1.0016          | 0.7875   | 0.0475          | 0.0625          | 0.075           | 0.0625          | 0.4425          |
| No log        | 28.98 | 483  | 1.0051          | 0.7875   | 0.0475          | 0.0625          | 0.0725          | 0.0625          | 0.4825          |
| 0.3531        | 30.0  | 500  | 0.9991          | 0.7875   | 0.05            | 0.0625          | 0.0725          | 0.0625          | 0.4975          |
| 0.3531        | 30.96 | 516  | 1.0213          | 0.785    | 0.0525          | 0.0625          | 0.0675          | 0.0625          | 0.5075          |
| 0.3531        | 31.98 | 533  | 1.0350          | 0.785    | 0.0525          | 0.0625          | 0.0675          | 0.0625          | 0.51            |
| 0.3531        | 33.0  | 550  | 1.0285          | 0.7825   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5125          |
| 0.3531        | 33.96 | 566  | 1.0311          | 0.79     | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.505           |
| 0.3531        | 34.98 | 583  | 1.0463          | 0.7875   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5125          |
| 0.3531        | 36.0  | 600  | 1.0501          | 0.785    | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.515           |
| 0.3531        | 36.96 | 616  | 1.0494          | 0.7825   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5225          |
| 0.3531        | 37.98 | 633  | 1.0574          | 0.7875   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.515           |
| 0.3531        | 39.0  | 650  | 1.0625          | 0.78     | 0.0525          | 0.0625          | 0.0675          | 0.0625          | 0.51            |
| 0.3531        | 39.96 | 666  | 1.0643          | 0.78     | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5075          |
| 0.3531        | 40.98 | 683  | 1.0679          | 0.7825   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.515           |
| 0.3531        | 42.0  | 700  | 1.0690          | 0.7825   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5175          |
| 0.3531        | 42.96 | 716  | 1.0682          | 0.7825   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5225          |
| 0.3531        | 43.98 | 733  | 1.0720          | 0.785    | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5175          |
| 0.3531        | 45.0  | 750  | 1.0744          | 0.7875   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.5225          |
| 0.3531        | 45.96 | 766  | 1.0801          | 0.7875   | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.52            |
| 0.3531        | 46.98 | 783  | 1.0864          | 0.78     | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.52            |
| 0.3531        | 48.0  | 800  | 1.0831          | 0.7825   | 0.0525          | 0.0625          | 0.075           | 0.0625          | 0.5175          |
| 0.3531        | 48.96 | 816  | 1.0800          | 0.785    | 0.0525          | 0.0625          | 0.0775          | 0.0625          | 0.5275          |
| 0.3531        | 49.98 | 833  | 1.0840          | 0.78     | 0.0525          | 0.0625          | 0.0775          | 0.0625          | 0.5225          |
| 0.3531        | 51.0  | 850  | 1.0863          | 0.78     | 0.0525          | 0.0625          | 0.075           | 0.0625          | 0.5225          |
| 0.3531        | 51.96 | 866  | 1.0887          | 0.78     | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.5275          |
| 0.3531        | 52.98 | 883  | 1.0904          | 0.785    | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.525           |
| 0.3531        | 54.0  | 900  | 1.0910          | 0.785    | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.525           |
| 0.3531        | 54.96 | 916  | 1.0922          | 0.785    | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.52            |
| 0.3531        | 55.98 | 933  | 1.0937          | 0.785    | 0.0525          | 0.0625          | 0.07            | 0.0625          | 0.52            |
| 0.3531        | 57.0  | 950  | 1.0946          | 0.785    | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.52            |
| 0.3531        | 57.6  | 960  | 1.0946          | 0.785    | 0.0525          | 0.0625          | 0.0725          | 0.0625          | 0.52            |


### 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": "2024-01-04_one_stage_subgraphs_weighted_txt_vis_conc_2_5_9_11_gate", "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