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# lmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-12-01_txt_vis_concat_enc_9_10_11_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: 0.9605
- Accuracy: 0.785
- Exit 0 Accuracy: 0.0625
- Exit 1 Accuracy: 0.2425
- Exit 2 Accuracy: 0.5225
- Exit 3 Accuracy: 0.72
- Exit 4 Accuracy: 0.785

## 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    | 2.6964          | 0.1225   | 0.055           | 0.0625          | 0.0625          | 0.0625          | 0.1225          |
| No log        | 1.96  | 16   | 2.6306          | 0.1775   | 0.05            | 0.0625          | 0.0625          | 0.0625          | 0.1775          |
| No log        | 2.96  | 24   | 2.5176          | 0.2325   | 0.045           | 0.0625          | 0.0625          | 0.0625          | 0.2325          |
| No log        | 3.96  | 32   | 2.3854          | 0.28     | 0.045           | 0.0625          | 0.0625          | 0.0625          | 0.28            |
| No log        | 4.96  | 40   | 2.2424          | 0.335    | 0.04            | 0.0625          | 0.0625          | 0.0625          | 0.335           |
| No log        | 5.96  | 48   | 2.0887          | 0.395    | 0.0425          | 0.0625          | 0.0625          | 0.0625          | 0.395           |
| No log        | 6.96  | 56   | 1.9008          | 0.5125   | 0.0425          | 0.0625          | 0.0625          | 0.0625          | 0.5125          |
| No log        | 7.96  | 64   | 1.7061          | 0.575    | 0.04            | 0.0625          | 0.0625          | 0.0625          | 0.575           |
| No log        | 8.96  | 72   | 1.5366          | 0.6075   | 0.0375          | 0.0625          | 0.0625          | 0.0625          | 0.6075          |
| No log        | 9.96  | 80   | 1.3956          | 0.6475   | 0.0375          | 0.0625          | 0.0625          | 0.0625          | 0.6475          |
| No log        | 10.96 | 88   | 1.2953          | 0.675    | 0.0275          | 0.0625          | 0.0625          | 0.0675          | 0.675           |
| No log        | 11.96 | 96   | 1.2023          | 0.6775   | 0.025           | 0.0625          | 0.0625          | 0.07            | 0.6775          |
| No log        | 12.96 | 104  | 1.1167          | 0.72     | 0.0325          | 0.0625          | 0.0625          | 0.0875          | 0.72            |
| No log        | 13.96 | 112  | 1.0342          | 0.73     | 0.03            | 0.0625          | 0.0625          | 0.1025          | 0.73            |
| No log        | 14.96 | 120  | 1.0137          | 0.7375   | 0.0325          | 0.0625          | 0.0625          | 0.115           | 0.7375          |
| No log        | 15.96 | 128  | 0.9790          | 0.7375   | 0.0325          | 0.0625          | 0.0625          | 0.1175          | 0.7375          |
| No log        | 16.96 | 136  | 0.9306          | 0.7675   | 0.035           | 0.0625          | 0.0625          | 0.1575          | 0.7675          |
| No log        | 17.96 | 144  | 0.8941          | 0.77     | 0.04            | 0.0625          | 0.0625          | 0.14            | 0.77            |
| No log        | 18.96 | 152  | 0.8953          | 0.765    | 0.0425          | 0.0625          | 0.0625          | 0.1825          | 0.765           |
| No log        | 19.96 | 160  | 0.8898          | 0.77     | 0.04            | 0.0625          | 0.0625          | 0.2175          | 0.77            |
| No log        | 20.96 | 168  | 0.8756          | 0.7725   | 0.04            | 0.0625          | 0.0625          | 0.2675          | 0.7725          |
| No log        | 21.96 | 176  | 0.9026          | 0.755    | 0.045           | 0.0625          | 0.1             | 0.4175          | 0.755           |
| No log        | 22.96 | 184  | 0.8717          | 0.7725   | 0.05            | 0.0625          | 0.1175          | 0.4225          | 0.7725          |
| No log        | 23.96 | 192  | 0.9194          | 0.7525   | 0.05            | 0.0625          | 0.15            | 0.4775          | 0.7525          |
| No log        | 24.96 | 200  | 0.8943          | 0.775    | 0.05            | 0.0675          | 0.1925          | 0.525           | 0.775           |
| No log        | 25.96 | 208  | 0.8964          | 0.77     | 0.0525          | 0.0625          | 0.215           | 0.5225          | 0.77            |
| No log        | 26.96 | 216  | 0.9143          | 0.76     | 0.0525          | 0.0625          | 0.25            | 0.5525          | 0.76            |
| No log        | 27.96 | 224  | 0.9079          | 0.7775   | 0.0525          | 0.0625          | 0.29            | 0.56            | 0.7775          |
| No log        | 28.96 | 232  | 0.9018          | 0.7775   | 0.055           | 0.0675          | 0.315           | 0.59            | 0.7775          |
| No log        | 29.96 | 240  | 0.9091          | 0.7875   | 0.055           | 0.0725          | 0.355           | 0.615           | 0.7875          |
| No log        | 30.96 | 248  | 0.9056          | 0.785    | 0.0625          | 0.0925          | 0.3775          | 0.64            | 0.785           |
| No log        | 31.96 | 256  | 0.9164          | 0.79     | 0.06            | 0.125           | 0.42            | 0.6775          | 0.79            |
| No log        | 32.96 | 264  | 0.9293          | 0.7875   | 0.0625          | 0.1425          | 0.4625          | 0.685           | 0.7875          |
| No log        | 33.96 | 272  | 0.9669          | 0.7725   | 0.0575          | 0.215           | 0.48            | 0.6875          | 0.7725          |
| No log        | 34.96 | 280  | 0.9342          | 0.785    | 0.06            | 0.23            | 0.4725          | 0.69            | 0.785           |
| No log        | 35.96 | 288  | 0.9481          | 0.7725   | 0.0625          | 0.205           | 0.4525          | 0.6525          | 0.7725          |
| No log        | 36.96 | 296  | 0.9447          | 0.7775   | 0.06            | 0.24            | 0.485           | 0.6875          | 0.7775          |
| No log        | 37.96 | 304  | 0.9494          | 0.7925   | 0.0575          | 0.24            | 0.5025          | 0.7025          | 0.7925          |
| No log        | 38.96 | 312  | 0.9329          | 0.775    | 0.0575          | 0.2225          | 0.46            | 0.695           | 0.775           |
| No log        | 39.96 | 320  | 0.9247          | 0.7875   | 0.06            | 0.23            | 0.4725          | 0.6725          | 0.7875          |
| No log        | 40.96 | 328  | 0.9184          | 0.7925   | 0.06            | 0.2325          | 0.465           | 0.665           | 0.7925          |
| No log        | 41.96 | 336  | 0.9608          | 0.8025   | 0.06            | 0.1975          | 0.4625          | 0.65            | 0.8025          |
| No log        | 42.96 | 344  | 0.9499          | 0.7875   | 0.06            | 0.2075          | 0.445           | 0.64            | 0.7875          |
| No log        | 43.96 | 352  | 0.9789          | 0.7825   | 0.06            | 0.205           | 0.495           | 0.64            | 0.7825          |
| No log        | 44.96 | 360  | 0.9384          | 0.78     | 0.06            | 0.2125          | 0.49            | 0.6725          | 0.78            |
| No log        | 45.96 | 368  | 0.9734          | 0.77     | 0.06            | 0.2075          | 0.54            | 0.7125          | 0.77            |
| No log        | 46.96 | 376  | 0.9647          | 0.785    | 0.0625          | 0.215           | 0.5325          | 0.735           | 0.785           |
| No log        | 47.96 | 384  | 0.9484          | 0.78     | 0.0625          | 0.2225          | 0.515           | 0.725           | 0.78            |
| No log        | 48.96 | 392  | 0.9652          | 0.7875   | 0.0625          | 0.2275          | 0.505           | 0.7325          | 0.7875          |
| No log        | 49.96 | 400  | 0.9570          | 0.785    | 0.0625          | 0.22            | 0.4925          | 0.7225          | 0.785           |
| No log        | 50.96 | 408  | 0.9432          | 0.7975   | 0.0625          | 0.2075          | 0.52            | 0.7275          | 0.7975          |
| No log        | 51.96 | 416  | 0.9562          | 0.79     | 0.0625          | 0.225           | 0.5275          | 0.7325          | 0.79            |
| No log        | 52.96 | 424  | 0.9567          | 0.79     | 0.0625          | 0.2375          | 0.5325          | 0.72            | 0.79            |
| No log        | 53.96 | 432  | 0.9645          | 0.7875   | 0.0625          | 0.2425          | 0.5325          | 0.7175          | 0.7875          |
| No log        | 54.96 | 440  | 0.9721          | 0.7825   | 0.0625          | 0.25            | 0.5275          | 0.725           | 0.7825          |
| No log        | 55.96 | 448  | 0.9742          | 0.785    | 0.0625          | 0.2425          | 0.52            | 0.7275          | 0.785           |
| No log        | 56.96 | 456  | 0.9699          | 0.785    | 0.0625          | 0.24            | 0.5225          | 0.725           | 0.785           |
| No log        | 57.96 | 464  | 0.9637          | 0.785    | 0.0625          | 0.245           | 0.52            | 0.725           | 0.785           |
| No log        | 58.96 | 472  | 0.9614          | 0.785    | 0.0625          | 0.2425          | 0.525           | 0.72            | 0.785           |
| No log        | 59.96 | 480  | 0.9605          | 0.785    | 0.0625          | 0.2425          | 0.5225          | 0.72            | 0.785           |


### 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": "lmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-12-01_txt_vis_concat_enc_9_10_11_12_gate", "results": []}]}
transformers pytorch layoutlmv3 text-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us