| Step | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
|------|---------------|------------------|-----------|--------|----|----------|
| 100  | No log        | 0.154289         | 0.757874  | 0.776210 | 0.766932 | 0.961490 |
| 200  | No log        | 0.132139         | 0.861507  | 0.852823 | 0.857143 | 0.972637 |
| 300  | No log        | 0.062179         | 0.925703  | 0.929435 | 0.927565 | 0.988346 |
| 400  | No log        | 0.063418         | 0.901606  | 0.905242 | 0.903421 | 0.983785 |
| 500  | 0.124600      | 0.057748         | 0.930754  | 0.921371 | 0.926039 | 0.988346 |
| 600  | 0.124600      | 0.043721         | 0.918327  | 0.929435 | 0.923848 | 0.989359 |
| 700  | 0.124600      | 0.049526         | 0.936992  | 0.929435 | 0.933198 | 0.988092 |
| 800  | 0.124600      | 0.044408         | 0.943089  | 0.935484 | 0.939271 | 0.990119 |
| 900  | 0.124600      | 0.045948         | 0.945233  | 0.939516 | 0.942366 | 0.990119 |
| 1000 | 0.029500      | 0.046814         | 0.929577  | 0.931452 | 0.930514 | 0.990119 |
| 1100 | 0.029500      | 0.052382         | 0.927565  | 0.929435 | 0.928499 | 0.988599 |
| 1200 | 0.029500      | 0.050219         | 0.945344  | 0.941532 | 0.943434 | 0.991133 |
| 1300 | 0.029500      | 0.051436         | 0.959267  | 0.949597 | 0.954407 | 0.991639 |
| 1400 | 0.029500      | 0.056634         | 0.943548  | 0.943548 | 0.943548 | 0.990626 |
| 1500 | 0.013900      | 0.059400         | 0.949393  | 0.945565 | 0.947475 | 0.990626 |
| 1600 | 0.013900      | 0.059400         | 0.917160  | 0.937500 | 0.927218 | 0.988346 |
| 1700 | 0.013900      | 0.062992         | 0.927711  | 0.931452 | 0.929577 | 0.989359 |
| 1800 | 0.013900      | 0.060030         | 0.943434  | 0.941532 | 0.942482 | 0.990626 |
| 1900 | 0.013900      | 0.057122         | 0.955285  | 0.947581 | 0.951417 | 0.991639 |
| 2000 | 0.009200      | 0.058830         | 0.945233  | 0.939516 | 0.942366 | 0.990879 |
| 2100 | 0.009200      | 0.061383         | 0.939638  | 0.941532 | 0.940584 | 0.990626 |
| 2200 | 0.009200      | 0.070614         | 0.937751  | 0.941532 | 0.939638 | 0.988346 |
| 2300 | 0.009200      | 0.063752         | 0.939394  | 0.937500 | 0.938446 | 0.990119 |
| 2400 | 0.009200      | 0.062154         | 0.947475  | 0.945565 | 0.946519 | 0.991386 |
| 2500 | 0.005600      | 0.065551         | 0.949393  | 0.945565 | 0.947475 | 0.989612 |
| 2600 | 0.005600      | 0.070675         | 0.939638  | 0.941532 | 0.940584 | 0.988852 |
| 2700 | 0.005600      | 0.065510         | 0.934132  | 0.943548 | 0.938816 | 0.989866 |
| 2800 | 0.005600      | 0.065490         | 0.935872  | 0.941532 | 0.938693 | 0.989612 |
| 2900 | 0.005600      | 0.067517         | 0.937876  | 0.943548 | 0.940704 | 0.989106 |
| 3000 | 0.004700      | 0.067997         | 0.937876  | 0.943548 | 0.940704 | 0.989106 |

{}
transformers pytorch layoutlmv3 token-classification autotrain_compatible endpoints_compatible has_space region:us