| Step | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy |
|------|---------------|------------------|-----------|--------|----|----------|
| 100  | No log        | 0.346990         | 0.585637  | 0.655773 | 0.618724 | 0.915789 |
| 200  | No log        | 0.311341         | 0.649159  | 0.672329 | 0.660541 | 0.935870 |
| 300  | No log        | 0.305884         | 0.662023  | 0.664158 | 0.663089 | 0.932511 |
| 400  | No log        | 0.309496         | 0.680121  | 0.677489 | 0.678802 | 0.936974 |
| 500  | 0.118700      | 0.306822         | 0.680973  | 0.692539 | 0.686707 | 0.937249 |
| 600  | 0.118700      | 0.319169         | 0.620410  | 0.690174 | 0.653435 | 0.929402 |
| 700  | 0.118700      | 0.320587         | 0.698483  | 0.682864 | 0.690585 | 0.938879 |
| 800  | 0.118700      | 0.328838         | 0.680847  | 0.684799 | 0.682817 | 0.938779 |
| 900  | 0.118700      | 0.300959         | 0.675408  | 0.703290 | 0.689067 | 0.937174 |
| 1000 | 0.095300      | 0.315136         | 0.731973  | 0.694044 | 0.712504 | 0.943617 |
| 1100 | 0.095300      | 0.295488         | 0.685638  | 0.717480 | 0.701198 | 0.939506 |
| 1200 | 0.095300      | 0.307831         | 0.716451  | 0.701355 | 0.708822 | 0.941637 |
| 1300 | 0.095300      | 0.313482         | 0.649140  | 0.706085 | 0.676416 | 0.934717 |
| 1400 | 0.095300      | 0.309260         | 0.687269  | 0.719630 | 0.703077 | 0.939405 |
| 1500 | 0.075300      | 0.300308         | 0.683521  | 0.717910 | 0.700294 | 0.939280 |
| 1600 | 0.075300      | 0.292246         | 0.715562  | 0.705870 | 0.710683 | 0.941210 |
| 1700 | 0.075300      | 0.316659         | 0.755429  | 0.710600 | 0.732329 | 0.944595 |
| 1800 | 0.075300      | 0.287561         | 0.723555  | 0.726510 | 0.725030 | 0.943316 |
| 1900 | 0.075300      | 0.297219         | 0.715955  | 0.724575 | 0.720239 | 0.942639 |
| 2000 | 0.067200      | 0.316889         | 0.671728  | 0.722855 | 0.696355 | 0.935519 |
| 2100 | 0.067200      | 0.321914         | 0.724923  | 0.705440 | 0.715048 | 0.941887 |
| 2200 | 0.067200      | 0.325328         | 0.733362  | 0.722640 | 0.727962 | 0.943692 |
| 2300 | 0.067200      | 0.321756         | 0.703751  | 0.714040 | 0.708858 | 0.941586 |
| 2400 | 0.067200      | 0.314122         | 0.740492  | 0.711675 | 0.725798 | 0.944896 |
| 2500 | 0.057700      | 0.310087         | 0.741979  | 0.715975 | 0.728745 | 0.943768 |
| 2600 | 0.057700      | 0.310034         | 0.711783  | 0.733821 | 0.722634 | 0.941887 |
| 2700 | 0.057700      | 0.291845         | 0.719668  | 0.726940 | 0.723286 | 0.942990 |
| 2800 | 0.057700      | 0.285353         | 0.739622  | 0.731671 | 0.735625 | 0.947428 |
| 2900 | 0.057700      | 0.294412         | 0.739714  | 0.722855 | 0.731187 | 0.946575 |
| 3000 | 0.049900      | 0.297818         | 0.737864  | 0.735326 | 0.736593 | 0.945748 |
| 3100 | 0.049900      | 0.312361         | 0.751168  | 0.725650 | 0.738189 | 0.946676 |
| 3200 | 0.049900      | 0.298071         | 0.719648  | 0.737906 | 0.728662 | 0.944219 |
| 3300 | 0.049900      | 0.286139         | 0.734945  | 0.745216 | 0.740045 | 0.946400 |
| 3400 | 0.049900      | 0.290754         | 0.740176  | 0.741131 | 0.740653 | 0.947653 |
| 3500 | 0.039900      | 0.302291         | 0.735357  | 0.739626 | 0.737485 | 0.946275 |
| 3600 | 0.039900      | 0.303882         | 0.732705  | 0.735541 | 0.734120 | 0.945071 |
| 3700 | 0.039900      | 0.287843         | 0.735275  | 0.748871 | 0.742011 | 0.945472 |
| 3800 | 0.039900      | 0.293510         | 0.741043  | 0.742636 | 0.741838 | 0.947077 |
| 3900 | 0.039900      | 0.295530         | 0.741342  | 0.745646 | 0.743488 | 0.946851 |
| 4000 | 0.043600      | 0.302510         | 0.747775  | 0.740701 | 0.744221 | 0.946099 |

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