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# 2024-01-07_one_stage_subgraphs_entropyreg_txt_vis_conc_1_4_8_12_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: 1.1235
- Accuracy: 0.735
- Exit 0 Accuracy: 0.0275
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.07
- Exit 3 Accuracy: 0.3425
- Exit 4 Accuracy: 0.735

## 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   | 2.6652          | 0.1725   | 0.0575          | 0.0825          | 0.0625          | 0.0625          | 0.1725          |
| No log        | 1.98  | 33   | 2.5287          | 0.245    | 0.055           | 0.0675          | 0.06            | 0.0625          | 0.245           |
| No log        | 3.0   | 50   | 2.4248          | 0.285    | 0.055           | 0.0625          | 0.055           | 0.0675          | 0.285           |
| No log        | 3.96  | 66   | 2.2424          | 0.375    | 0.0525          | 0.065           | 0.075           | 0.0625          | 0.375           |
| No log        | 4.98  | 83   | 2.0686          | 0.45     | 0.0475          | 0.0625          | 0.08            | 0.0625          | 0.45            |
| No log        | 6.0   | 100  | 1.7912          | 0.5775   | 0.0475          | 0.055           | 0.085           | 0.1175          | 0.5775          |
| No log        | 6.96  | 116  | 1.5442          | 0.595    | 0.0325          | 0.0625          | 0.0825          | 0.18            | 0.595           |
| No log        | 7.98  | 133  | 1.3694          | 0.655    | 0.0225          | 0.0775          | 0.075           | 0.195           | 0.655           |
| No log        | 9.0   | 150  | 1.2956          | 0.675    | 0.0225          | 0.0575          | 0.0725          | 0.17            | 0.675           |
| No log        | 9.96  | 166  | 1.2185          | 0.6875   | 0.025           | 0.055           | 0.08            | 0.185           | 0.6875          |
| No log        | 10.98 | 183  | 1.1532          | 0.7125   | 0.025           | 0.0575          | 0.075           | 0.2325          | 0.7125          |
| No log        | 12.0  | 200  | 1.1229          | 0.7075   | 0.025           | 0.0575          | 0.075           | 0.2075          | 0.7075          |
| No log        | 12.96 | 216  | 1.1053          | 0.7225   | 0.03            | 0.06            | 0.0825          | 0.19            | 0.7225          |
| No log        | 13.98 | 233  | 1.0948          | 0.725    | 0.0275          | 0.0575          | 0.0825          | 0.2175          | 0.725           |
| No log        | 15.0  | 250  | 1.0867          | 0.725    | 0.025           | 0.0575          | 0.085           | 0.2025          | 0.725           |
| No log        | 15.96 | 266  | 1.0750          | 0.7075   | 0.025           | 0.055           | 0.0725          | 0.2325          | 0.7075          |
| No log        | 16.98 | 283  | 1.0745          | 0.725    | 0.0275          | 0.055           | 0.08            | 0.25            | 0.725           |
| No log        | 18.0  | 300  | 1.0778          | 0.7275   | 0.025           | 0.065           | 0.0725          | 0.24            | 0.7275          |
| No log        | 18.96 | 316  | 1.0497          | 0.725    | 0.025           | 0.0625          | 0.075           | 0.235           | 0.725           |
| No log        | 19.98 | 333  | 1.0533          | 0.7375   | 0.035           | 0.06            | 0.08            | 0.2825          | 0.7375          |
| No log        | 21.0  | 350  | 1.0391          | 0.7375   | 0.03            | 0.0675          | 0.0775          | 0.26            | 0.7375          |
| No log        | 21.96 | 366  | 1.0249          | 0.745    | 0.03            | 0.065           | 0.075           | 0.2675          | 0.745           |
| No log        | 22.98 | 383  | 1.0177          | 0.7525   | 0.03            | 0.0575          | 0.0825          | 0.27            | 0.7525          |
| No log        | 24.0  | 400  | 1.0335          | 0.735    | 0.0275          | 0.0575          | 0.075           | 0.2775          | 0.735           |
| No log        | 24.96 | 416  | 1.1162          | 0.7175   | 0.02            | 0.0575          | 0.075           | 0.2625          | 0.7175          |
| No log        | 25.98 | 433  | 1.1288          | 0.7225   | 0.0225          | 0.06            | 0.07            | 0.28            | 0.7225          |
| No log        | 27.0  | 450  | 1.0459          | 0.7525   | 0.02            | 0.0625          | 0.0625          | 0.3             | 0.7525          |
| No log        | 27.96 | 466  | 1.0614          | 0.735    | 0.0225          | 0.0625          | 0.06            | 0.3025          | 0.735           |
| No log        | 28.98 | 483  | 1.0468          | 0.7525   | 0.025           | 0.0625          | 0.0675          | 0.3125          | 0.7525          |
| 0.63          | 30.0  | 500  | 1.0359          | 0.745    | 0.0275          | 0.0625          | 0.065           | 0.3175          | 0.745           |
| 0.63          | 30.96 | 516  | 1.0496          | 0.7475   | 0.0275          | 0.06            | 0.06            | 0.3375          | 0.7475          |
| 0.63          | 31.98 | 533  | 1.0781          | 0.7425   | 0.025           | 0.06            | 0.06            | 0.315           | 0.7425          |
| 0.63          | 33.0  | 550  | 1.0752          | 0.7375   | 0.025           | 0.0625          | 0.0725          | 0.345           | 0.7375          |
| 0.63          | 33.96 | 566  | 1.0767          | 0.74     | 0.0225          | 0.0625          | 0.0575          | 0.32            | 0.74            |
| 0.63          | 34.98 | 583  | 1.0737          | 0.7425   | 0.0225          | 0.0625          | 0.0625          | 0.335           | 0.7425          |
| 0.63          | 36.0  | 600  | 1.0662          | 0.74     | 0.0225          | 0.0625          | 0.065           | 0.3325          | 0.74            |
| 0.63          | 36.96 | 616  | 1.0787          | 0.74     | 0.02            | 0.0625          | 0.06            | 0.3175          | 0.74            |
| 0.63          | 37.98 | 633  | 1.0870          | 0.7475   | 0.02            | 0.0625          | 0.05            | 0.3375          | 0.7475          |
| 0.63          | 39.0  | 650  | 1.0634          | 0.75     | 0.02            | 0.0625          | 0.06            | 0.33            | 0.75            |
| 0.63          | 39.96 | 666  | 1.1079          | 0.7325   | 0.02            | 0.0625          | 0.065           | 0.3175          | 0.7325          |
| 0.63          | 40.98 | 683  | 1.1028          | 0.73     | 0.0275          | 0.0625          | 0.0775          | 0.3375          | 0.73            |
| 0.63          | 42.0  | 700  | 1.0933          | 0.745    | 0.025           | 0.0625          | 0.0675          | 0.3475          | 0.745           |
| 0.63          | 42.96 | 716  | 1.1287          | 0.7325   | 0.0225          | 0.0625          | 0.0725          | 0.3375          | 0.7325          |
| 0.63          | 43.98 | 733  | 1.1139          | 0.75     | 0.0225          | 0.0625          | 0.075           | 0.335           | 0.75            |
| 0.63          | 45.0  | 750  | 1.1207          | 0.7325   | 0.025           | 0.0625          | 0.0725          | 0.315           | 0.7325          |
| 0.63          | 45.96 | 766  | 1.1227          | 0.7325   | 0.025           | 0.0625          | 0.08            | 0.33            | 0.7325          |
| 0.63          | 46.98 | 783  | 1.1072          | 0.7425   | 0.025           | 0.0625          | 0.0775          | 0.325           | 0.7425          |
| 0.63          | 48.0  | 800  | 1.1202          | 0.74     | 0.0275          | 0.0625          | 0.08            | 0.34            | 0.74            |
| 0.63          | 48.96 | 816  | 1.1230          | 0.745    | 0.0275          | 0.0625          | 0.0675          | 0.3475          | 0.745           |
| 0.63          | 49.98 | 833  | 1.1119          | 0.74     | 0.025           | 0.0625          | 0.0675          | 0.35            | 0.74            |
| 0.63          | 51.0  | 850  | 1.1131          | 0.7375   | 0.0275          | 0.0625          | 0.07            | 0.3425          | 0.7375          |
| 0.63          | 51.96 | 866  | 1.1306          | 0.735    | 0.0275          | 0.0625          | 0.07            | 0.335           | 0.735           |
| 0.63          | 52.98 | 883  | 1.1310          | 0.74     | 0.0275          | 0.0625          | 0.07            | 0.34            | 0.74            |
| 0.63          | 54.0  | 900  | 1.1307          | 0.735    | 0.0275          | 0.0625          | 0.07            | 0.35            | 0.735           |
| 0.63          | 54.96 | 916  | 1.1225          | 0.7425   | 0.0275          | 0.0625          | 0.07            | 0.34            | 0.7425          |
| 0.63          | 55.98 | 933  | 1.1255          | 0.735    | 0.0275          | 0.0625          | 0.07            | 0.3425          | 0.735           |
| 0.63          | 57.0  | 950  | 1.1243          | 0.735    | 0.0275          | 0.0625          | 0.07            | 0.3425          | 0.735           |
| 0.63          | 57.6  | 960  | 1.1235          | 0.735    | 0.0275          | 0.0625          | 0.07            | 0.3425          | 0.735           |


### 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_1_4_8_12_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