| Step  | Training Loss | Validation Loss | Precision | Recall | F1     | Accuracy |
|-------|---------------|------------------|-----------|--------|--------|----------|
| 100   | No log        | 0.300344         | 0.656161  | 0.689468 | 0.672402 | 0.940699 |
| 200   | No log        | 0.284565         | 0.722440  | 0.700869 | 0.711491 | 0.945313 |
| 300   | No log        | 0.290693         | 0.733633  | 0.708740 | 0.720972 | 0.948874 |
| 400   | No log        | 0.284723         | 0.707617  | 0.703583 | 0.705594 | 0.945342 |
| 500   | 0.111400      | 0.269668         | 0.731268  | 0.704669 | 0.717722 | 0.949329 |
| 600   | 0.111400      | 0.271161         | 0.700187  | 0.712541 | 0.706310 | 0.945626 |
| 700   | 0.111400      | 0.267415         | 0.712565  | 0.706569 | 0.709554 | 0.945683 |
| 800   | 0.111400      | 0.271639         | 0.732237  | 0.713355 | 0.722673 | 0.949728 |
| 900   | 0.111400      | 0.284487         | 0.732193  | 0.708740 | 0.720276 | 0.948503 |
| 1000  | 0.095800      | 0.290781         | 0.725728  | 0.730456 | 0.728084 | 0.949016 |
| 1100  | 0.095800      | 0.250252         | 0.747436  | 0.731813 | 0.739542 | 0.949557 |
| 1200  | 0.095800      | 0.271234         | 0.758525  | 0.742671 | 0.750514 | 0.951238 |
| 1300  | 0.095800      | 0.264930         | 0.719935  | 0.726384 | 0.723146 | 0.946054 |
| 1400  | 0.095800      | 0.286484         | 0.754190  | 0.732899 | 0.743392 | 0.947165 |
| 1500  | 0.078700      | 0.273196         | 0.727515  | 0.739957 | 0.733683 | 0.946282 |
| 1600  | 0.078700      | 0.275172         | 0.735160  | 0.742942 | 0.739031 | 0.950241 |
| 1700  | 0.078700      | 0.276700         | 0.727706  | 0.746471 | 0.736969 | 0.948475 |
| 1800  | 0.078700      | 0.286220         | 0.711613  | 0.743485 | 0.727200 | 0.945940 |
| 1900  | 0.078700      | 0.275488         | 0.759944  | 0.741585 | 0.750653 | 0.949700 |
| 2000  | 0.063500      | 0.263637         | 0.741347  | 0.750000 | 0.745648 | 0.948788 |
| 2100  | 0.063500      | 0.268701         | 0.723371  | 0.750271 | 0.736576 | 0.948930 |
| 2200  | 0.063500      | 0.272617         | 0.769123  | 0.745114 | 0.756928 | 0.952548 |
| 2300  | 0.063500      | 0.267682         | 0.758791  | 0.749729 | 0.754233 | 0.951836 |
| 2400  | 0.063500      | 0.265609         | 0.755801  | 0.742671 | 0.749179 | 0.952377 |
| 2500  | 0.053500      | 0.272378         | 0.760011  | 0.747014 | 0.753457 | 0.952291 |
| 2600  | 0.053500      | 0.273965         | 0.762726  | 0.744300 | 0.753400 | 0.951494 |
| 2700  | 0.053500      | 0.269110         | 0.747750  | 0.744300 | 0.746021 | 0.950753 |
| 2800  | 0.053500      | 0.266148         | 0.751156  | 0.749729 | 0.750442 | 0.950753 |
| 2900  | 0.053500      | 0.269599         | 0.759427  | 0.748914 | 0.754134 | 0.952035 |
| 3000  | 0.051300      | 0.269859         | 0.761589  | 0.749186 | 0.755337 | 0.952348 |

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