| Step | Training Loss | Validation Loss | Precision | Recall | F1      | Accuracy |
|------|---------------|------------------|-----------|--------|---------|----------|
| 100  | No log        | 0.307911         | 0.569747  | 0.538817 | 0.553850 | 0.927654 |
| 200  | No log        | 0.311860         | 0.594098  | 0.579262 | 0.586586 | 0.931955 |
| 300  | No log        | 0.305314         | 0.594456  | 0.599620 | 0.597027 | 0.933265 |
| 400  | No log        | 0.327313         | 0.638110  | 0.568132 | 0.601091 | 0.934661 |
| 500  | 0.186500      | 0.297596         | 0.639855  | 0.624050 | 0.631854 | 0.938192 |
| 600  | 0.186500      | 0.313178         | 0.661670  | 0.611021 | 0.635337 | 0.938620 |
| 700  | 0.186500      | 0.288772         | 0.630348  | 0.643865 | 0.637035 | 0.935515 |
| 800  | 0.186500      | 0.293304         | 0.653597  | 0.656080 | 0.654836 | 0.939674 |
| 900  | 0.186500      | 0.282937         | 0.645240  | 0.645765 | 0.645503 | 0.937253 |
| 1000 | 0.145900      | 0.276347         | 0.700470  | 0.646851 | 0.672594 | 0.944800 |
| 1100 | 0.145900      | 0.302979         | 0.704645  | 0.654723 | 0.678767 | 0.944744 |
| 1200 | 0.145900      | 0.286254         | 0.696156  | 0.668567 | 0.682083 | 0.944886 |
| 1300 | 0.145900      | 0.280976         | 0.677349  | 0.671281 | 0.674301 | 0.943974 |
| 1400 | 0.145900      | 0.274117         | 0.710951  | 0.669653 | 0.689684 | 0.945370 |
| 1500 | 0.112500      | 0.297358         | 0.730484  | 0.668024 | 0.697859 | 0.945598 |
| 1600 | 0.112500      | 0.277921         | 0.714927  | 0.691640 | 0.703091 | 0.946339 |
| 1700 | 0.112500      | 0.283856         | 0.719461  | 0.695440 | 0.707246 | 0.945171 |
| 1800 | 0.112500      | 0.284236         | 0.745629  | 0.694625 | 0.719224 | 0.948218 |
| 1900 | 0.112500      | 0.273524         | 0.721180  | 0.709826 | 0.715458 | 0.947677 |
| 2000 | 0.093300      | 0.278223         | 0.713941  | 0.722856 | 0.718371 | 0.947421 |
| 2100 | 0.093300      | 0.280333         | 0.718598  | 0.723670 | 0.721125 | 0.947649 |
| 2200 | 0.093300      | 0.274492         | 0.722148  | 0.730185 | 0.726144 | 0.948874 |
| 2300 | 0.093300      | 0.270590         | 0.719480  | 0.735885 | 0.727590 | 0.946908 |
| 2400 | 0.093300      | 0.277817         | 0.740792  | 0.726113 | 0.733379 | 0.951095 |
| 2500 | 0.081400      | 0.266140         | 0.732520  | 0.733713 | 0.733116 | 0.951181 |
| 2600 | 0.081400      | 0.265732         | 0.740812  | 0.733170 | 0.736971 | 0.950469 |
| 2700 | 0.081400      | 0.268057         | 0.736742  | 0.739142 | 0.737940 | 0.950070 |
| 2800 | 0.081400      | 0.270892         | 0.746951  | 0.731542 | 0.739166 | 0.950383 |
| 2900 | 0.081400      | 0.271579         | 0.749586  | 0.736971 | 0.743225 | 0.951010 |
| 3000 | 0.070900      | 0.270740         | 0.749105  | 0.738328 | 0.743677 | 0.951124 |

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