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# outlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-12-01_txt_vis_concat_enc_5_6_7_8_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: 1.2142
- Accuracy: 0.74
- Exit 0 Accuracy: 0.06
- Exit 1 Accuracy: 0.0425
- Exit 2 Accuracy: 0.055
- Exit 3 Accuracy: 0.13
- Exit 4 Accuracy: 0.115

## 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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 96
- 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  | 8    | 2.6958          | 0.155    | 0.055           | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 1.96  | 16   | 2.6082          | 0.19     | 0.05            | 0.0625          | 0.0625          | 0.0625          | 0.0625          |
| No log        | 2.96  | 24   | 2.5043          | 0.22     | 0.045           | 0.0625          | 0.035           | 0.0625          | 0.0625          |
| No log        | 3.96  | 32   | 2.3683          | 0.3075   | 0.05            | 0.0625          | 0.0525          | 0.0625          | 0.0625          |
| No log        | 4.96  | 40   | 2.2643          | 0.3175   | 0.045           | 0.0625          | 0.0625          | 0.065           | 0.045           |
| No log        | 5.96  | 48   | 2.1581          | 0.35     | 0.0475          | 0.0625          | 0.0625          | 0.0675          | 0.0525          |
| No log        | 6.96  | 56   | 2.0310          | 0.415    | 0.0475          | 0.0625          | 0.0625          | 0.0725          | 0.0625          |
| No log        | 7.96  | 64   | 1.8650          | 0.48     | 0.0475          | 0.0625          | 0.0625          | 0.07            | 0.06            |
| No log        | 8.96  | 72   | 1.7411          | 0.5225   | 0.045           | 0.0625          | 0.0625          | 0.095           | 0.06            |
| No log        | 9.96  | 80   | 1.6098          | 0.58     | 0.0475          | 0.0625          | 0.0625          | 0.085           | 0.0725          |
| No log        | 10.96 | 88   | 1.4985          | 0.61     | 0.0475          | 0.0625          | 0.065           | 0.09            | 0.065           |
| No log        | 11.96 | 96   | 1.3887          | 0.64     | 0.045           | 0.0625          | 0.06            | 0.0875          | 0.07            |
| No log        | 12.96 | 104  | 1.3170          | 0.65     | 0.0475          | 0.0625          | 0.06            | 0.0825          | 0.08            |
| No log        | 13.96 | 112  | 1.2359          | 0.675    | 0.05            | 0.06            | 0.0625          | 0.0725          | 0.08            |
| No log        | 14.96 | 120  | 1.1957          | 0.6725   | 0.0475          | 0.0625          | 0.0625          | 0.0775          | 0.0675          |
| No log        | 15.96 | 128  | 1.1161          | 0.7125   | 0.045           | 0.06            | 0.0625          | 0.08            | 0.08            |
| No log        | 16.96 | 136  | 1.0854          | 0.7125   | 0.045           | 0.0625          | 0.0625          | 0.0675          | 0.0725          |
| No log        | 17.96 | 144  | 1.0519          | 0.7275   | 0.0475          | 0.06            | 0.0625          | 0.065           | 0.0725          |
| No log        | 18.96 | 152  | 1.0603          | 0.7075   | 0.0475          | 0.055           | 0.0575          | 0.0675          | 0.0675          |
| No log        | 19.96 | 160  | 1.0096          | 0.725    | 0.0475          | 0.0525          | 0.06            | 0.06            | 0.0775          |
| No log        | 20.96 | 168  | 1.0319          | 0.725    | 0.045           | 0.0525          | 0.0575          | 0.055           | 0.0725          |
| No log        | 21.96 | 176  | 1.0069          | 0.7425   | 0.0475          | 0.0475          | 0.06            | 0.06            | 0.0925          |
| No log        | 22.96 | 184  | 1.0605          | 0.7175   | 0.05            | 0.055           | 0.0625          | 0.06            | 0.0825          |
| No log        | 23.96 | 192  | 1.0030          | 0.73     | 0.05            | 0.0575          | 0.06            | 0.06            | 0.0875          |
| No log        | 24.96 | 200  | 1.0238          | 0.735    | 0.05            | 0.065           | 0.06            | 0.0575          | 0.0675          |
| No log        | 25.96 | 208  | 1.0237          | 0.74     | 0.045           | 0.07            | 0.06            | 0.0475          | 0.07            |
| No log        | 26.96 | 216  | 1.0579          | 0.7225   | 0.05            | 0.0575          | 0.055           | 0.0475          | 0.0775          |
| No log        | 27.96 | 224  | 1.0625          | 0.7325   | 0.0475          | 0.05            | 0.055           | 0.0525          | 0.1             |
| No log        | 28.96 | 232  | 1.1150          | 0.72     | 0.05            | 0.05            | 0.055           | 0.06            | 0.095           |
| No log        | 29.96 | 240  | 1.1042          | 0.725    | 0.05            | 0.05            | 0.055           | 0.06            | 0.09            |
| No log        | 30.96 | 248  | 1.0623          | 0.7175   | 0.05            | 0.0525          | 0.055           | 0.0725          | 0.1             |
| No log        | 31.96 | 256  | 1.0622          | 0.735    | 0.05            | 0.065           | 0.055           | 0.085           | 0.1             |
| No log        | 32.96 | 264  | 1.0631          | 0.7375   | 0.055           | 0.0475          | 0.0575          | 0.0975          | 0.0975          |
| No log        | 33.96 | 272  | 1.1195          | 0.735    | 0.05            | 0.055           | 0.0525          | 0.0925          | 0.1025          |
| No log        | 34.96 | 280  | 1.1263          | 0.73     | 0.05            | 0.0475          | 0.05            | 0.1025          | 0.1075          |
| No log        | 35.96 | 288  | 1.1313          | 0.7175   | 0.0525          | 0.055           | 0.0525          | 0.105           | 0.11            |
| No log        | 36.96 | 296  | 1.1334          | 0.7425   | 0.0525          | 0.0475          | 0.0475          | 0.1075          | 0.1175          |
| No log        | 37.96 | 304  | 1.1897          | 0.7075   | 0.055           | 0.0425          | 0.0475          | 0.1125          | 0.13            |
| No log        | 38.96 | 312  | 1.1314          | 0.745    | 0.05            | 0.0425          | 0.0525          | 0.1325          | 0.1             |
| No log        | 39.96 | 320  | 1.2089          | 0.71     | 0.0525          | 0.0375          | 0.05            | 0.165           | 0.0975          |
| No log        | 40.96 | 328  | 1.1656          | 0.735    | 0.0575          | 0.0375          | 0.045           | 0.145           | 0.08            |
| No log        | 41.96 | 336  | 1.1898          | 0.7325   | 0.0575          | 0.0375          | 0.0475          | 0.1525          | 0.115           |
| No log        | 42.96 | 344  | 1.1785          | 0.7325   | 0.055           | 0.0425          | 0.045           | 0.15            | 0.07            |
| No log        | 43.96 | 352  | 1.2090          | 0.7275   | 0.055           | 0.0425          | 0.0475          | 0.1325          | 0.0575          |
| No log        | 44.96 | 360  | 1.1464          | 0.7325   | 0.055           | 0.0425          | 0.0475          | 0.13            | 0.06            |
| No log        | 45.96 | 368  | 1.1856          | 0.7275   | 0.055           | 0.0425          | 0.045           | 0.135           | 0.085           |
| No log        | 46.96 | 376  | 1.2034          | 0.7275   | 0.06            | 0.0475          | 0.045           | 0.1225          | 0.055           |
| No log        | 47.96 | 384  | 1.1865          | 0.7375   | 0.0575          | 0.0425          | 0.0475          | 0.12            | 0.0625          |
| No log        | 48.96 | 392  | 1.1896          | 0.735    | 0.06            | 0.045           | 0.055           | 0.12            | 0.075           |
| No log        | 49.96 | 400  | 1.2165          | 0.7325   | 0.06            | 0.045           | 0.0575          | 0.14            | 0.115           |
| No log        | 50.96 | 408  | 1.2035          | 0.735    | 0.06            | 0.045           | 0.05            | 0.1275          | 0.0775          |
| No log        | 51.96 | 416  | 1.1975          | 0.7325   | 0.06            | 0.0425          | 0.05            | 0.125           | 0.08            |
| No log        | 52.96 | 424  | 1.1990          | 0.735    | 0.06            | 0.04            | 0.055           | 0.125           | 0.0975          |
| No log        | 53.96 | 432  | 1.1997          | 0.7325   | 0.06            | 0.04            | 0.05            | 0.115           | 0.0725          |
| No log        | 54.96 | 440  | 1.2056          | 0.7325   | 0.06            | 0.0425          | 0.0475          | 0.1175          | 0.075           |
| No log        | 55.96 | 448  | 1.2244          | 0.735    | 0.06            | 0.0425          | 0.0525          | 0.1275          | 0.105           |
| No log        | 56.96 | 456  | 1.2357          | 0.7275   | 0.06            | 0.0425          | 0.055           | 0.1325          | 0.1375          |
| No log        | 57.96 | 464  | 1.2265          | 0.725    | 0.06            | 0.0425          | 0.055           | 0.1325          | 0.12            |
| No log        | 58.96 | 472  | 1.2171          | 0.7325   | 0.06            | 0.0425          | 0.055           | 0.13            | 0.1225          |
| No log        | 59.96 | 480  | 1.2142          | 0.74     | 0.06            | 0.0425          | 0.055           | 0.13            | 0.115           |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "outlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-12-01_txt_vis_concat_enc_5_6_7_8_gate", "results": []}]}
transformers pytorch layoutlmv3 text-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us