
<!-- 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. -->

# 2024-01-09_one_stage_subgraphs_weighted_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: 0.9390
- Accuracy: 0.77
- Exit 0 Accuracy: 0.0625
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.06
- Exit 3 Accuracy: 0.0625
- Exit 4 Accuracy: 0.74

## 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   | 2.6696          | 0.195    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 1.98  | 33   | 2.5026          | 0.2575   | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.0   | 50   | 2.3137          | 0.31     | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 3.96  | 66   | 2.0882          | 0.4325   | 0.07            | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 4.98  | 83   | 1.8166          | 0.56     | 0.07            | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 6.0   | 100  | 1.5497          | 0.645    | 0.0725          | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 6.96  | 116  | 1.3812          | 0.655    | 0.0725          | 0.0625          | 0.0625          | 0.0625          | 0.0725          |
| No log        | 7.98  | 133  | 1.2204          | 0.7175   | 0.0725          | 0.0625          | 0.0625          | 0.0625          | 0.085           |
| No log        | 9.0   | 150  | 1.1322          | 0.75     | 0.0725          | 0.0625          | 0.0625          | 0.0625          | 0.095           |
| No log        | 9.96  | 166  | 1.0710          | 0.755    | 0.0725          | 0.0625          | 0.0625          | 0.0625          | 0.0925          |
| No log        | 10.98 | 183  | 1.0184          | 0.7525   | 0.0675          | 0.0625          | 0.0625          | 0.0625          | 0.115           |
| No log        | 12.0  | 200  | 1.0033          | 0.74     | 0.0725          | 0.0625          | 0.055           | 0.0625          | 0.1275          |
| No log        | 12.96 | 216  | 0.9933          | 0.745    | 0.0725          | 0.0625          | 0.06            | 0.0625          | 0.1525          |
| No log        | 13.98 | 233  | 0.9915          | 0.735    | 0.07            | 0.0625          | 0.0625          | 0.0625          | 0.18            |
| No log        | 15.0  | 250  | 0.9726          | 0.7525   | 0.07            | 0.0625          | 0.0625          | 0.0625          | 0.18            |
| No log        | 15.96 | 266  | 0.9361          | 0.765    | 0.07            | 0.0625          | 0.0625          | 0.0625          | 0.205           |
| No log        | 16.98 | 283  | 0.8964          | 0.78     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.2225          |
| No log        | 18.0  | 300  | 0.9296          | 0.7575   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.2525          |
| No log        | 18.96 | 316  | 0.9034          | 0.7725   | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.255           |
| No log        | 19.98 | 333  | 0.9168          | 0.7675   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.2975          |
| No log        | 21.0  | 350  | 0.8820          | 0.78     | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.3825          |
| No log        | 21.96 | 366  | 0.9458          | 0.7625   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.4375          |
| No log        | 22.98 | 383  | 0.9000          | 0.775    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.4675          |
| No log        | 24.0  | 400  | 0.9042          | 0.785    | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.48            |
| No log        | 24.96 | 416  | 0.8947          | 0.795    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.505           |
| No log        | 25.98 | 433  | 0.9094          | 0.7925   | 0.065           | 0.0625          | 0.065           | 0.0625          | 0.52            |
| No log        | 27.0  | 450  | 0.9078          | 0.785    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.555           |
| No log        | 27.96 | 466  | 0.9380          | 0.78     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.57            |
| No log        | 28.98 | 483  | 0.9616          | 0.765    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.5775          |
| 0.4296        | 30.0  | 500  | 0.9114          | 0.785    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.575           |
| 0.4296        | 30.96 | 516  | 0.9216          | 0.7825   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.575           |
| 0.4296        | 31.98 | 533  | 0.9074          | 0.7875   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.6             |
| 0.4296        | 33.0  | 550  | 0.9205          | 0.785    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.5975          |
| 0.4296        | 33.96 | 566  | 0.9177          | 0.79     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.6175          |
| 0.4296        | 34.98 | 583  | 0.9161          | 0.785    | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.64            |
| 0.4296        | 36.0  | 600  | 0.9309          | 0.7775   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.65            |
| 0.4296        | 36.96 | 616  | 0.9311          | 0.7725   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.6525          |
| 0.4296        | 37.98 | 633  | 0.9310          | 0.77     | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.65            |
| 0.4296        | 39.0  | 650  | 0.9295          | 0.7725   | 0.065           | 0.0625          | 0.0625          | 0.0625          | 0.6625          |
| 0.4296        | 39.96 | 666  | 0.9194          | 0.78     | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.6775          |
| 0.4296        | 40.98 | 683  | 0.9221          | 0.775    | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.69            |
| 0.4296        | 42.0  | 700  | 0.9324          | 0.7725   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.695           |
| 0.4296        | 42.96 | 716  | 0.9245          | 0.775    | 0.0625          | 0.0625          | 0.065           | 0.0625          | 0.6975          |
| 0.4296        | 43.98 | 733  | 0.9348          | 0.7725   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.7175          |
| 0.4296        | 45.0  | 750  | 0.9295          | 0.775    | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.72            |
| 0.4296        | 45.96 | 766  | 0.9334          | 0.77     | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.7225          |
| 0.4296        | 46.98 | 783  | 0.9358          | 0.775    | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.725           |
| 0.4296        | 48.0  | 800  | 0.9280          | 0.7775   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.735           |
| 0.4296        | 48.96 | 816  | 0.9403          | 0.77     | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.735           |
| 0.4296        | 49.98 | 833  | 0.9304          | 0.7725   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.7325          |
| 0.4296        | 51.0  | 850  | 0.9356          | 0.7725   | 0.0625          | 0.0625          | 0.0625          | 0.0625          | 0.7325          |
| 0.4296        | 51.96 | 866  | 0.9392          | 0.7725   | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.7375          |
| 0.4296        | 52.98 | 883  | 0.9370          | 0.7725   | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.74            |
| 0.4296        | 54.0  | 900  | 0.9404          | 0.7675   | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.745           |
| 0.4296        | 54.96 | 916  | 0.9405          | 0.7725   | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.7425          |
| 0.4296        | 55.98 | 933  | 0.9409          | 0.77     | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.74            |
| 0.4296        | 57.0  | 950  | 0.9391          | 0.77     | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.74            |
| 0.4296        | 57.6  | 960  | 0.9390          | 0.77     | 0.0625          | 0.0625          | 0.06            | 0.0625          | 0.74            |


### 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": "2024-01-09_one_stage_subgraphs_weighted_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