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# 2024-01-07_one_stage_subgraphs_entropyreg_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: 0.9973
- Accuracy: 0.7725
- Exit 0 Accuracy: 0.0625
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.0925
- Exit 3 Accuracy: 0.14
- Exit 4 Accuracy: 0.695

## 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   | 2.6595          | 0.1775   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 1.98  | 33   | 2.4912          | 0.27     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.0   | 50   | 2.2963          | 0.305    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.96  | 66   | 2.1349          | 0.38     | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 4.98  | 83   | 1.9142          | 0.5275   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 6.0   | 100  | 1.6721          | 0.59     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 6.96  | 116  | 1.4696          | 0.6425   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 7.98  | 133  | 1.4285          | 0.665    | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 9.0   | 150  | 1.2804          | 0.68     | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0675          |
| No log        | 9.96  | 166  | 1.2030          | 0.7275   | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0875          |
| No log        | 10.98 | 183  | 1.1252          | 0.73     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.1175          |
| No log        | 12.0  | 200  | 1.0535          | 0.7375   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.1275          |
| No log        | 12.96 | 216  | 1.0563          | 0.7375   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.14            |
| No log        | 13.98 | 233  | 1.0299          | 0.7525   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.155           |
| No log        | 15.0  | 250  | 0.9986          | 0.745    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.17            |
| No log        | 15.96 | 266  | 1.0189          | 0.7525   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.18            |
| No log        | 16.98 | 283  | 0.9661          | 0.7675   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.19            |
| No log        | 18.0  | 300  | 0.9849          | 0.7475   | 0.065           | 0.0625          | 0.065           | 0.0625          | 0.195           |
| No log        | 18.96 | 316  | 0.9897          | 0.7325   | 0.0625          | 0.0625          | 0.065           | 0.0625          | 0.21            |
| No log        | 19.98 | 333  | 0.9983          | 0.7375   | 0.0625          | 0.0625          | 0.065           | 0.0625          | 0.2075          |
| No log        | 21.0  | 350  | 0.9799          | 0.7475   | 0.06            | 0.0625          | 0.0725          | 0.0625          | 0.21            |
| No log        | 21.96 | 366  | 0.9946          | 0.755    | 0.06            | 0.0625          | 0.065           | 0.065           | 0.2425          |
| No log        | 22.98 | 383  | 0.9856          | 0.75     | 0.0575          | 0.0625          | 0.07            | 0.0625          | 0.3125          |
| No log        | 24.0  | 400  | 0.9641          | 0.75     | 0.0625          | 0.0625          | 0.0825          | 0.0625          | 0.3225          |
| No log        | 24.96 | 416  | 0.9509          | 0.775    | 0.0575          | 0.0625          | 0.0825          | 0.0775          | 0.3625          |
| No log        | 25.98 | 433  | 0.9626          | 0.7775   | 0.0575          | 0.0625          | 0.0775          | 0.0875          | 0.4075          |
| No log        | 27.0  | 450  | 1.0076          | 0.7525   | 0.0575          | 0.0625          | 0.0825          | 0.0975          | 0.435           |
| No log        | 27.96 | 466  | 0.9588          | 0.765    | 0.06            | 0.0625          | 0.08            | 0.0975          | 0.4725          |
| No log        | 28.98 | 483  | 0.9423          | 0.765    | 0.06            | 0.0625          | 0.0775          | 0.1025          | 0.4725          |
| 0.6008        | 30.0  | 500  | 1.0173          | 0.7475   | 0.06            | 0.0625          | 0.08            | 0.1075          | 0.4675          |
| 0.6008        | 30.96 | 516  | 1.0115          | 0.7575   | 0.0625          | 0.0625          | 0.09            | 0.1175          | 0.505           |
| 0.6008        | 31.98 | 533  | 0.9999          | 0.765    | 0.0625          | 0.0625          | 0.1025          | 0.115           | 0.5575          |
| 0.6008        | 33.0  | 550  | 1.0163          | 0.77     | 0.06            | 0.0625          | 0.1025          | 0.135           | 0.6525          |
| 0.6008        | 33.96 | 566  | 0.9782          | 0.765    | 0.06            | 0.0625          | 0.1125          | 0.1225          | 0.62            |
| 0.6008        | 34.98 | 583  | 0.9811          | 0.7625   | 0.06            | 0.0625          | 0.1025          | 0.1425          | 0.6725          |
| 0.6008        | 36.0  | 600  | 0.9937          | 0.765    | 0.06            | 0.0625          | 0.1075          | 0.155           | 0.7             |
| 0.6008        | 36.96 | 616  | 1.0273          | 0.7575   | 0.06            | 0.0625          | 0.105           | 0.15            | 0.705           |
| 0.6008        | 37.98 | 633  | 1.0098          | 0.76     | 0.0625          | 0.0625          | 0.1075          | 0.1525          | 0.7             |
| 0.6008        | 39.0  | 650  | 0.9914          | 0.765    | 0.06            | 0.0625          | 0.1075          | 0.1325          | 0.6275          |
| 0.6008        | 39.96 | 666  | 1.0228          | 0.76     | 0.06            | 0.0625          | 0.1075          | 0.1175          | 0.605           |
| 0.6008        | 40.98 | 683  | 0.9701          | 0.7775   | 0.0575          | 0.0625          | 0.0925          | 0.1125          | 0.6175          |
| 0.6008        | 42.0  | 700  | 1.0100          | 0.7525   | 0.0575          | 0.0625          | 0.105           | 0.115           | 0.6225          |
| 0.6008        | 42.96 | 716  | 0.9989          | 0.77     | 0.06            | 0.0625          | 0.095           | 0.1325          | 0.6825          |
| 0.6008        | 43.98 | 733  | 0.9843          | 0.765    | 0.06            | 0.0625          | 0.1             | 0.1325          | 0.6825          |
| 0.6008        | 45.0  | 750  | 1.0016          | 0.7625   | 0.06            | 0.0625          | 0.0975          | 0.13            | 0.6525          |
| 0.6008        | 45.96 | 766  | 0.9942          | 0.765    | 0.06            | 0.0625          | 0.1             | 0.12            | 0.6775          |
| 0.6008        | 46.98 | 783  | 0.9977          | 0.7725   | 0.06            | 0.0625          | 0.0925          | 0.135           | 0.675           |
| 0.6008        | 48.0  | 800  | 1.0038          | 0.7725   | 0.0575          | 0.0625          | 0.09            | 0.135           | 0.6775          |
| 0.6008        | 48.96 | 816  | 1.0096          | 0.76     | 0.06            | 0.0625          | 0.0925          | 0.1225          | 0.6825          |
| 0.6008        | 49.98 | 833  | 0.9817          | 0.7725   | 0.06            | 0.0625          | 0.0925          | 0.135           | 0.7025          |
| 0.6008        | 51.0  | 850  | 0.9871          | 0.775    | 0.0625          | 0.0625          | 0.0925          | 0.145           | 0.705           |
| 0.6008        | 51.96 | 866  | 1.0015          | 0.765    | 0.0625          | 0.0625          | 0.0925          | 0.1425          | 0.685           |
| 0.6008        | 52.98 | 883  | 0.9924          | 0.77     | 0.0625          | 0.0625          | 0.0925          | 0.14            | 0.6975          |
| 0.6008        | 54.0  | 900  | 1.0002          | 0.765    | 0.0625          | 0.0625          | 0.0925          | 0.1375          | 0.6975          |
| 0.6008        | 54.96 | 916  | 0.9995          | 0.7775   | 0.0625          | 0.0625          | 0.0925          | 0.1375          | 0.7             |
| 0.6008        | 55.98 | 933  | 0.9971          | 0.77     | 0.0625          | 0.0625          | 0.0925          | 0.14            | 0.6975          |
| 0.6008        | 57.0  | 950  | 0.9973          | 0.7725   | 0.0625          | 0.0625          | 0.0925          | 0.14            | 0.6925          |
| 0.6008        | 57.6  | 960  | 0.9973          | 0.7725   | 0.0625          | 0.0625          | 0.0925          | 0.14            | 0.695           |


### 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": "2024-01-07_one_stage_subgraphs_entropyreg_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