| Step | Training Loss | Validation Loss | Precision | Recall   | F1        | Accuracy |
|------|---------------|------------------|-----------|----------|-----------|----------|
| 100  | No log        | 1.017363         | 0.156220  | 0.046147 | 0.071248  | 0.822061 |
| 200  | No log        | 0.647487         | 0.190276  | 0.115938 | 0.144084  | 0.851951 |
| 300  | No log        | 0.473412         | 0.474539  | 0.337131 | 0.394204  | 0.896024 |
| 400  | No log        | 0.414001         | 0.584465  | 0.435123 | 0.498857  | 0.925431 |
| 500  | 0.753000      | 0.364914         | 0.555701  | 0.484546 | 0.517690  | 0.928635 |
| 600  | 0.753000      | 0.302850         | 0.645299  | 0.580687 | 0.611290  | 0.940454 |
| 700  | 0.753000      | 0.247103         | 0.667590  | 0.583820 | 0.622901  | 0.946208 |
| 800  | 0.753000      | 0.215047         | 0.712155  | 0.686797 | 0.699246  | 0.953890 |
| 900  | 0.753000      | 0.174144         | 0.793003  | 0.774818 | 0.783805  | 0.966860 |
| 1000 | 0.261600      | 0.174167         | 0.787584  | 0.796895 | 0.792212  | 0.966456 |
| 1100 | 0.261600      | 0.165055         | 0.809847  | 0.815268 | 0.812549  | 0.967824 |
| 1200 | 0.261600      | 0.136032         | 0.854070  | 0.842757 | 0.848376  | 0.975958 |
| 1300 | 0.261600      | 0.124368         | 0.849575  | 0.854294 | 0.851928  | 0.976626 |
| 1400 | 0.261600      | 0.114892         | 0.873473  | 0.855434 | 0.864359  | 0.979628 |
| 1500 | 0.155700      | 0.104080         | 0.881604  | 0.857997 | 0.869641  | 0.980794 |
| 1600 | 0.155700      | 0.106260         | 0.858091  | 0.865546 | 0.861802  | 0.978803 |
| 1700 | 0.155700      | 0.104105         | 0.871268  | 0.881071 | 0.876142  | 0.979426 |
| 1800 | 0.155700      | 0.091852         | 0.892995  | 0.891468 | 0.892231  | 0.982349 |
| 1900 | 0.155700      | 0.084187         | 0.895525  | 0.886341 | 0.890909  | 0.983111 |
| 2000 | 0.115600      | 0.085172         | 0.893379  | 0.897451 | 0.895410  | 0.983236 |
| 2100 | 0.115600      | 0.091255         | 0.877483  | 0.899729 | 0.888467  | 0.980670 |
| 2200 | 0.115600      | 0.075669         | 0.900778  | 0.906424 | 0.903592  | 0.984542 |
| 2300 | 0.115600      | 0.075238         | 0.899506  | 0.907705 | 0.903587  | 0.985008 |
| 2400 | 0.115600      | 0.080395         | 0.898205  | 0.912406 | 0.905250  | 0.983702 |
| 2500 | 0.090000      | 0.073770         | 0.907132  | 0.911266 | 0.909194  | 0.985537 |
| 2600 | 0.090000      | 0.073928         | 0.902501  | 0.914969 | 0.908692  | 0.985211 |
| 2700 | 0.090000      | 0.074566         | 0.903640  | 0.912263 | 0.907931  | 0.985491 |
| 2800 | 0.090000      | 0.071275         | 0.915957  | 0.918957 | 0.917455  | 0.986470 |
| 2900 | 0.090000      | 0.070805         | 0.915509  | 0.919812 | 0.917655  | 0.986424 |
| 3000 | 0.081900      | 0.070489         | 0.914788  | 0.918957 | 0.916868  | 0.986299 |

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