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# roberta-finetuned-token-reqzarv2

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2139
- F1 B-cadj: 0.1075
- F1 I-cadj: 0.6150
- F1 B-peso: 0.3333
- F1 I-peso: 0
- Macro F1: 0.2640

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 B-cadj | F1 I-cadj | F1 B-peso | F1 I-peso | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:---------:|:---------:|:---------:|:--------:|
| 0.2135        | 1.0   | 14   | 0.1161          | 0         | 0         | 0         | 0         | 0.0      |
| 0.1154        | 2.0   | 28   | 0.1111          | 0         | 0         | 0         | 0         | 0.0      |
| 0.1108        | 3.0   | 42   | 0.1083          | 0         | 0         | 0         | 0         | 0.0      |
| 0.1096        | 4.0   | 56   | 0.1074          | 0         | 0         | 0         | 0         | 0.0      |
| 0.1066        | 5.0   | 70   | 0.1071          | 0         | 0         | 0         | 0         | 0.0      |
| 0.1024        | 6.0   | 84   | 0.1070          | 0         | 0         | 0         | 0         | 0.0      |
| 0.0995        | 7.0   | 98   | 0.0874          | 0         | 0         | 0         | 0         | 0.0      |
| 0.0953        | 8.0   | 112  | 0.1068          | 0         | 0         | 0         | 0         | 0.0      |
| 0.0991        | 9.0   | 126  | 0.1051          | 0         | 0.0762    | 0         | 0         | 0.0191   |
| 0.0967        | 10.0  | 140  | 0.1040          | 0         | 0         | 0         | 0         | 0.0      |
| 0.0865        | 11.0  | 154  | 0.1118          | 0         | 0.3543    | 0         | 0         | 0.0886   |
| 0.0781        | 12.0  | 168  | 0.1082          | 0         | 0.2867    | 0         | 0         | 0.0717   |
| 0.0676        | 13.0  | 182  | 0.1152          | 0         | 0.3119    | 0         | 0         | 0.0780   |
| 0.0583        | 14.0  | 196  | 0.1397          | 0         | 0.2540    | 0         | 0         | 0.0635   |
| 0.0753        | 15.0  | 210  | 0.0859          | 0         | 0.1018    | 0         | 0         | 0.0255   |
| 0.0547        | 16.0  | 224  | 0.1189          | 0         | 0.5961    | 0         | 0         | 0.1490   |
| 0.0513        | 17.0  | 238  | 0.1064          | 0         | 0.5224    | 0         | 0         | 0.1306   |
| 0.0381        | 18.0  | 252  | 0.1115          | 0         | 0.5931    | 0         | 0         | 0.1483   |
| 0.0263        | 19.0  | 266  | 0.1234          | 0         | 0.5616    | 0         | 0         | 0.1404   |
| 0.0188        | 20.0  | 280  | 0.1421          | 0         | 0.4855    | 0         | 0         | 0.1214   |
| 0.0157        | 21.0  | 294  | 0.1421          | 0         | 0.5419    | 0         | 0         | 0.1355   |
| 0.0121        | 22.0  | 308  | 0.1574          | 0         | 0.5960    | 0         | 0         | 0.1490   |
| 0.0121        | 23.0  | 322  | 0.1471          | 0         | 0.6417    | 0         | 0         | 0.1604   |
| 0.0094        | 24.0  | 336  | 0.1658          | 0         | 0.6132    | 0         | 0         | 0.1533   |
| 0.0085        | 25.0  | 350  | 0.1562          | 0         | 0.6262    | 0         | 0         | 0.1566   |
| 0.0077        | 26.0  | 364  | 0.1597          | 0         | 0.6341    | 0         | 0         | 0.1585   |
| 0.0071        | 27.0  | 378  | 0.1609          | 0         | 0.6356    | 0         | 0         | 0.1589   |
| 0.0067        | 28.0  | 392  | 0.1592          | 0         | 0.6216    | 0         | 0         | 0.1554   |
| 0.0062        | 29.0  | 406  | 0.1620          | 0         | 0.6246    | 0         | 0         | 0.1561   |
| 0.0055        | 30.0  | 420  | 0.1660          | 0         | 0.6195    | 0         | 0         | 0.1549   |
| 0.0055        | 31.0  | 434  | 0.1598          | 0         | 0.6491    | 0         | 0         | 0.1623   |
| 0.0056        | 32.0  | 448  | 0.1657          | 0.0213    | 0.6241    | 0         | 0         | 0.1613   |
| 0.0051        | 33.0  | 462  | 0.1659          | 0.0504    | 0.6221    | 0         | 0         | 0.1681   |
| 0.0047        | 34.0  | 476  | 0.1722          | 0.0201    | 0.5950    | 0         | 0         | 0.1538   |
| 0.0044        | 35.0  | 490  | 0.1835          | 0.0599    | 0.6249    | 0         | 0         | 0.1712   |
| 0.004         | 36.0  | 504  | 0.1906          | 0.0448    | 0.6217    | 0         | 0         | 0.1666   |
| 0.0038        | 37.0  | 518  | 0.1916          | 0.0251    | 0.6199    | 0         | 0         | 0.1612   |
| 0.0041        | 38.0  | 532  | 0.1759          | 0.0377    | 0.6501    | 0         | 0         | 0.1720   |
| 0.0037        | 39.0  | 546  | 0.1832          | 0.0439    | 0.6280    | 0         | 0         | 0.1680   |
| 0.0032        | 40.0  | 560  | 0.1944          | 0.0383    | 0.6140    | 0         | 0         | 0.1631   |
| 0.0028        | 41.0  | 574  | 0.2015          | 0.0481    | 0.5992    | 0         | 0         | 0.1618   |
| 0.0026        | 42.0  | 588  | 0.2015          | 0.0377    | 0.6059    | 0         | 0         | 0.1609   |
| 0.0027        | 43.0  | 602  | 0.1935          | 0.0362    | 0.6384    | 0         | 0         | 0.1687   |
| 0.0029        | 44.0  | 616  | 0.1909          | 0.0256    | 0.6601    | 0         | 0         | 0.1714   |
| 0.0027        | 45.0  | 630  | 0.1978          | 0.0379    | 0.6377    | 0         | 0         | 0.1689   |
| 0.0029        | 46.0  | 644  | 0.2103          | 0.0419    | 0.5676    | 0         | 0         | 0.1524   |
| 0.0027        | 47.0  | 658  | 0.2059          | 0.0552    | 0.5863    | 0         | 0         | 0.1604   |
| 0.0026        | 48.0  | 672  | 0.2017          | 0.0406    | 0.6094    | 0         | 0         | 0.1625   |
| 0.0025        | 49.0  | 686  | 0.2079          | 0.0394    | 0.6160    | 0         | 0         | 0.1638   |
| 0.0025        | 50.0  | 700  | 0.1981          | 0.0408    | 0.6254    | 0         | 0         | 0.1666   |
| 0.0023        | 51.0  | 714  | 0.2032          | 0.0396    | 0.6280    | 0         | 0         | 0.1669   |
| 0.0022        | 52.0  | 728  | 0.2001          | 0.0495    | 0.6483    | 0         | 0         | 0.1744   |
| 0.0025        | 53.0  | 742  | 0.2115          | 0.0330    | 0.6348    | 0         | 0         | 0.1669   |
| 0.0022        | 54.0  | 756  | 0.2130          | 0.0662    | 0.6331    | 0         | 0         | 0.1748   |
| 0.0032        | 55.0  | 770  | 0.1950          | 0.0168    | 0.5942    | 0         | 0         | 0.1527   |
| 0.0032        | 56.0  | 784  | 0.2313          | 0.0504    | 0.6204    | 0         | 0         | 0.1677   |
| 0.0029        | 57.0  | 798  | 0.2140          | 0.0412    | 0.6211    | 0         | 0         | 0.1656   |
| 0.0023        | 58.0  | 812  | 0.2258          | 0.0775    | 0.6117    | 0         | 0         | 0.1723   |
| 0.0025        | 59.0  | 826  | 0.2376          | 0.0595    | 0.6007    | 0         | 0         | 0.1651   |
| 0.0027        | 60.0  | 840  | 0.2345          | 0.0633    | 0.5796    | 0         | 0         | 0.1607   |
| 0.0029        | 61.0  | 854  | 0.2105          | 0.0465    | 0.6258    | 0         | 0         | 0.1681   |
| 0.0024        | 62.0  | 868  | 0.2078          | 0.0606    | 0.6325    | 0         | 0         | 0.1733   |
| 0.0033        | 63.0  | 882  | 0.2330          | 0.0457    | 0.4868    | 0         | 0         | 0.1331   |
| 0.003         | 64.0  | 896  | 0.2017          | 0.0482    | 0.6147    | 0         | 0         | 0.1657   |
| 0.0035        | 65.0  | 910  | 0.1999          | 0.0678    | 0.6061    | 0         | 0         | 0.1685   |
| 0.0026        | 66.0  | 924  | 0.2191          | 0.0497    | 0.5258    | 0.3333    | 0         | 0.2272   |
| 0.002         | 67.0  | 938  | 0.2306          | 0.0541    | 0.5306    | 0.25      | 0         | 0.2087   |
| 0.0018        | 68.0  | 952  | 0.2100          | 0.0678    | 0.5605    | 0         | 0         | 0.1571   |
| 0.0016        | 69.0  | 966  | 0.2120          | 0.1031    | 0.6225    | 0.2222    | 0         | 0.2370   |
| 0.0017        | 70.0  | 980  | 0.2068          | 0.1724    | 0.6398    | 0.1818    | 0         | 0.2485   |
| 0.004         | 71.0  | 994  | 0.2123          | 0.0851    | 0.6491    | 0         | 0         | 0.1836   |
| 0.0029        | 72.0  | 1008 | 0.2207          | 0.0964    | 0.5378    | 0         | 0         | 0.1585   |
| 0.0057        | 73.0  | 1022 | 0.1801          | 0         | 0.5441    | 0         | 0         | 0.1360   |
| 0.0073        | 74.0  | 1036 | 0.2169          | 0         | 0.5407    | 0         | 0         | 0.1352   |
| 0.0044        | 75.0  | 1050 | 0.2022          | 0         | 0.5628    | 0         | 0         | 0.1407   |
| 0.0036        | 76.0  | 1064 | 0.2328          | 0.0513    | 0.5602    | 0         | 0         | 0.1529   |
| 0.0027        | 77.0  | 1078 | 0.2337          | 0.0398    | 0.5673    | 0         | 0         | 0.1518   |
| 0.0024        | 78.0  | 1092 | 0.2316          | 0.0578    | 0.5766    | 0         | 0         | 0.1586   |
| 0.0022        | 79.0  | 1106 | 0.2372          | 0.0690    | 0.5764    | 0         | 0         | 0.1613   |
| 0.0023        | 80.0  | 1120 | 0.2320          | 0.0526    | 0.5970    | 0         | 0         | 0.1624   |
| 0.0022        | 81.0  | 1134 | 0.2316          | 0.0591    | 0.5924    | 0         | 0         | 0.1629   |
| 0.0021        | 82.0  | 1148 | 0.2330          | 0.0543    | 0.5810    | 0         | 0         | 0.1588   |
| 0.0019        | 83.0  | 1162 | 0.2313          | 0.0490    | 0.5753    | 0         | 0         | 0.1561   |
| 0.0017        | 84.0  | 1176 | 0.2261          | 0.0629    | 0.5740    | 0         | 0         | 0.1592   |
| 0.0015        | 85.0  | 1190 | 0.2334          | 0.0550    | 0.5762    | 0         | 0         | 0.1578   |
| 0.0013        | 86.0  | 1204 | 0.2313          | 0.0398    | 0.5779    | 0.2000    | 0         | 0.2044   |
| 0.0012        | 87.0  | 1218 | 0.2344          | 0.0510    | 0.5768    | 0.2222    | 0         | 0.2125   |
| 0.0014        | 88.0  | 1232 | 0.2221          | 0.0440    | 0.5831    | 0         | 0         | 0.1568   |
| 0.0014        | 89.0  | 1246 | 0.2342          | 0.0808    | 0.5729    | 0.2222    | 0         | 0.2190   |
| 0.0015        | 90.0  | 1260 | 0.2029          | 0.0704    | 0.6231    | 0.2000    | 0         | 0.2234   |
| 0.002         | 91.0  | 1274 | 0.1961          | 0.0833    | 0.6200    | 0.2857    | 0         | 0.2473   |
| 0.0023        | 92.0  | 1288 | 0.2294          | 0.0545    | 0.5661    | 0.25      | 0         | 0.2177   |
| 0.0031        | 93.0  | 1302 | 0.2023          | 0.0735    | 0.6059    | 0         | 0         | 0.1699   |
| 0.0024        | 94.0  | 1316 | 0.1944          | 0.0709    | 0.5888    | 0         | 0         | 0.1649   |
| 0.0021        | 95.0  | 1330 | 0.1978          | 0.1099    | 0.595     | 0.25      | 0         | 0.2387   |
| 0.0016        | 96.0  | 1344 | 0.2300          | 0.1190    | 0.5763    | 0.25      | 0         | 0.2363   |
| 0.0015        | 97.0  | 1358 | 0.2303          | 0.125     | 0.5906    | 0         | 0         | 0.1789   |
| 0.0015        | 98.0  | 1372 | 0.2069          | 0.1538    | 0.6350    | 0         | 0         | 0.1972   |
| 0.0013        | 99.0  | 1386 | 0.2099          | 0.1613    | 0.6372    | 0         | 0         | 0.1996   |
| 0.0012        | 100.0 | 1400 | 0.2325          | 0.1067    | 0.5785    | 0         | 0         | 0.1713   |
| 0.0017        | 101.0 | 1414 | 0.2136          | 0.1351    | 0.6077    | 0.25      | 0         | 0.2482   |
| 0.0016        | 102.0 | 1428 | 0.2179          | 0.0685    | 0.6428    | 0.3333    | 0         | 0.2611   |
| 0.0016        | 103.0 | 1442 | 0.2165          | 0.0885    | 0.6255    | 0.25      | 0         | 0.2410   |
| 0.0024        | 104.0 | 1456 | 0.1996          | 0.1020    | 0.6456    | 0.25      | 0         | 0.2494   |
| 0.0012        | 105.0 | 1470 | 0.1929          | 0.0962    | 0.6614    | 0.2000    | 0         | 0.2394   |
| 0.0011        | 106.0 | 1484 | 0.2024          | 0.1299    | 0.6421    | 0.2222    | 0         | 0.2485   |
| 0.0013        | 107.0 | 1498 | 0.2123          | 0.1039    | 0.6025    | 0.2222    | 0         | 0.2321   |
| 0.0016        | 108.0 | 1512 | 0.2185          | 0.1290    | 0.6226    | 0.25      | 0         | 0.2504   |
| 0.0015        | 109.0 | 1526 | 0.2080          | 0.0971    | 0.6538    | 0.25      | 0         | 0.2502   |
| 0.0046        | 110.0 | 1540 | 0.1995          | 0.1235    | 0.6116    | 0.2222    | 0         | 0.2393   |
| 0.0015        | 111.0 | 1554 | 0.2139          | 0.1075    | 0.6150    | 0.3333    | 0         | 0.2640   |
| 0.0013        | 112.0 | 1568 | 0.2379          | 0.1404    | 0.5376    | 0         | 0         | 0.1695   |
| 0.0013        | 113.0 | 1582 | 0.2485          | 0.1235    | 0.5465    | 0         | 0         | 0.1675   |
| 0.0013        | 114.0 | 1596 | 0.2395          | 0.1509    | 0.5359    | 0         | 0         | 0.1717   |
| 0.0013        | 115.0 | 1610 | 0.2385          | 0.1333    | 0.5406    | 0         | 0         | 0.1685   |
| 0.0011        | 116.0 | 1624 | 0.2347          | 0.125     | 0.5528    | 0         | 0         | 0.1695   |
| 0.001         | 117.0 | 1638 | 0.2400          | 0.1311    | 0.5585    | 0         | 0         | 0.1724   |
| 0.0009        | 118.0 | 1652 | 0.2411          | 0.1143    | 0.5527    | 0         | 0         | 0.1667   |
| 0.0008        | 119.0 | 1666 | 0.2432          | 0.1194    | 0.5491    | 0         | 0         | 0.1671   |
| 0.0008        | 120.0 | 1680 | 0.2471          | 0.1333    | 0.5488    | 0         | 0         | 0.1705   |
| 0.0008        | 121.0 | 1694 | 0.2470          | 0.1509    | 0.5482    | 0         | 0         | 0.1748   |
| 0.0008        | 122.0 | 1708 | 0.2490          | 0.1404    | 0.5497    | 0         | 0         | 0.1725   |
| 0.0007        | 123.0 | 1722 | 0.2527          | 0.1404    | 0.5510    | 0         | 0         | 0.1728   |
| 0.0007        | 124.0 | 1736 | 0.2505          | 0.1509    | 0.5452    | 0         | 0         | 0.1740   |
| 0.0007        | 125.0 | 1750 | 0.2505          | 0.1600    | 0.5593    | 0         | 0         | 0.1798   |
| 0.0008        | 126.0 | 1764 | 0.2546          | 0.1667    | 0.5477    | 0         | 0         | 0.1786   |
| 0.0008        | 127.0 | 1778 | 0.2519          | 0.1778    | 0.5598    | 0         | 0         | 0.1844   |
| 0.001         | 128.0 | 1792 | 0.2421          | 0.2857    | 0.5549    | 0         | 0         | 0.2101   |
| 0.0014        | 129.0 | 1806 | 0.2422          | 0.1633    | 0.6085    | 0         | 0         | 0.1929   |
| 0.0022        | 130.0 | 1820 | 0.2316          | 0.1304    | 0.5284    | 0         | 0         | 0.1647   |
| 0.0026        | 131.0 | 1834 | 0.2201          | 0.3077    | 0.5791    | 0         | 0         | 0.2217   |
| 0.0016        | 132.0 | 1848 | 0.2197          | 0.1951    | 0.6001    | 0         | 0         | 0.1988   |
| 0.0018        | 133.0 | 1862 | 0.2090          | 0.2286    | 0.6690    | 0         | 0         | 0.2244   |
| 0.0063        | 134.0 | 1876 | 0.2171          | 0.1714    | 0.5585    | 0         | 0         | 0.1825   |
| 0.0043        | 135.0 | 1890 | 0.2170          | 0         | 0.4167    | 0         | 0         | 0.1042   |
| 0.0074        | 136.0 | 1904 | 0.2199          | 0.1622    | 0.5628    | 0         | 0         | 0.1812   |
| 0.003         | 137.0 | 1918 | 0.2290          | 0.2222    | 0.5621    | 0         | 0         | 0.1961   |
| 0.0029        | 138.0 | 1932 | 0.2237          | 0.2632    | 0.5727    | 0         | 0         | 0.2090   |
| 0.0024        | 139.0 | 1946 | 0.2116          | 0.2128    | 0.5970    | 0.2000    | 0         | 0.2525   |
| 0.003         | 140.0 | 1960 | 0.1815          | 0.2       | 0.6387    | 0.2000    | 0         | 0.2597   |
| 0.0049        | 141.0 | 1974 | 0.2476          | 0.1538    | 0.5091    | 0.2222    | 0         | 0.2213   |
| 0.0031        | 142.0 | 1988 | 0.2172          | 0.3704    | 0.5426    | 0.1250    | 0         | 0.2595   |
| 0.0037        | 143.0 | 2002 | 0.2633          | 0.3448    | 0.4790    | 0.1818    | 0         | 0.2514   |
| 0.0038        | 144.0 | 2016 | 0.2342          | 0.3571    | 0.5391    | 0         | 0         | 0.2241   |
| 0.0024        | 145.0 | 2030 | 0.2381          | 0.1852    | 0.5289    | 0         | 0         | 0.1785   |
| 0.0023        | 146.0 | 2044 | 0.2329          | 0.2174    | 0.5437    | 0         | 0         | 0.1903   |
| 0.0023        | 147.0 | 2058 | 0.2193          | 0.2703    | 0.5470    | 0         | 0         | 0.2043   |
| 0.0026        | 148.0 | 2072 | 0.2426          | 0.2273    | 0.5151    | 0         | 0         | 0.1856   |
| 0.0024        | 149.0 | 2086 | 0.2637          | 0.2174    | 0.4604    | 0         | 0         | 0.1695   |
| 0.0048        | 150.0 | 2100 | 0.2412          | 0.1852    | 0.4304    | 0         | 0         | 0.1539   |
| 0.0051        | 151.0 | 2114 | 0.1735          | 0.1667    | 0.5985    | 0         | 0         | 0.1913   |
| 0.0032        | 152.0 | 2128 | 0.1953          | 0.2778    | 0.5661    | 0         | 0         | 0.2110   |
| 0.0032        | 153.0 | 2142 | 0.2152          | 0.1818    | 0.5627    | 0         | 0         | 0.1861   |
| 0.0039        | 154.0 | 2156 | 0.1901          | 0         | 0.5807    | 0         | 0         | 0.1452   |
| 0.0047        | 155.0 | 2170 | 0.1808          | 0.5       | 0.5153    | 0         | 0         | 0.2538   |
| 0.0029        | 156.0 | 2184 | 0.2113          | 0.1455    | 0.5736    | 0         | 0         | 0.1798   |
| 0.0025        | 157.0 | 2198 | 0.2074          | 0.1905    | 0.5617    | 0         | 0         | 0.1880   |
| 0.0022        | 158.0 | 2212 | 0.2083          | 0.1667    | 0.5871    | 0         | 0         | 0.1885   |
| 0.0024        | 159.0 | 2226 | 0.2045          | 0.2286    | 0.5542    | 0         | 0         | 0.1957   |
| 0.0026        | 160.0 | 2240 | 0.1932          | 0.1600    | 0.5712    | 0         | 0         | 0.1828   |
| 0.0028        | 161.0 | 2254 | 0.2121          | 0.1875    | 0.5501    | 0         | 0         | 0.1844   |
| 0.0046        | 162.0 | 2268 | 0.2448          | 0         | 0.4128    | 0         | 0         | 0.1032   |
| 0.0054        | 163.0 | 2282 | 0.2545          | 0.0667    | 0.4239    | 0         | 0         | 0.1226   |
| 0.0061        | 164.0 | 2296 | 0.2402          | 0         | 0.4781    | 0         | 0         | 0.1195   |
| 0.0034        | 165.0 | 2310 | 0.2198          | 0.3704    | 0.5116    | 0         | 0         | 0.2205   |
| 0.002         | 166.0 | 2324 | 0.2474          | 0.3226    | 0.5131    | 0         | 0         | 0.2089   |
| 0.0018        | 167.0 | 2338 | 0.2262          | 0.3846    | 0.5417    | 0         | 0         | 0.2316   |
| 0.0019        | 168.0 | 2352 | 0.2245          | 0.2222    | 0.6040    | 0         | 0         | 0.2066   |
| 0.0024        | 169.0 | 2366 | 0.2111          | 0.2       | 0.6025    | 0         | 0         | 0.2006   |
| 0.0021        | 170.0 | 2380 | 0.2328          | 0.2759    | 0.5851    | 0         | 0         | 0.2152   |
| 0.002         | 171.0 | 2394 | 0.2277          | 0.25      | 0.5645    | 0         | 0         | 0.2036   |
| 0.0018        | 172.0 | 2408 | 0.2204          | 0.3636    | 0.5719    | 0         | 0         | 0.2339   |
| 0.0019        | 173.0 | 2422 | 0.2230          | 0.2759    | 0.5645    | 0         | 0         | 0.2101   |
| 0.0018        | 174.0 | 2436 | 0.2221          | 0.2609    | 0.5605    | 0         | 0         | 0.2053   |
| 0.0017        | 175.0 | 2450 | 0.2351          | 0.2727    | 0.5333    | 0         | 0         | 0.2015   |
| 0.0017        | 176.0 | 2464 | 0.2586          | 0.3077    | 0.4744    | 0         | 0         | 0.1955   |
| 0.0018        | 177.0 | 2478 | 0.2623          | 0.3529    | 0.4725    | 0         | 0         | 0.2064   |
| 0.0017        | 178.0 | 2492 | 0.2666          | 0.24      | 0.4796    | 0         | 0         | 0.1799   |
| 0.0055        | 179.0 | 2506 | 0.2532          | 0.3158    | 0.4938    | 0         | 0         | 0.2024   |
| 0.0023        | 180.0 | 2520 | 0.2253          | 0.2727    | 0.5545    | 0         | 0         | 0.2068   |
| 0.0033        | 181.0 | 2534 | 0.2533          | 0.2857    | 0.5616    | 0         | 0         | 0.2118   |
| 0.0051        | 182.0 | 2548 | 0.2946          | 0.2222    | 0.5138    | 0         | 0         | 0.1840   |
| 0.0065        | 183.0 | 2562 | 0.2011          | 0.2105    | 0.5482    | 0         | 0         | 0.1897   |
| 0.0035        | 184.0 | 2576 | 0.2234          | 0.3333    | 0.5151    | 0         | 0         | 0.2121   |
| 0.0029        | 185.0 | 2590 | 0.2378          | 0.3158    | 0.5907    | 0         | 0         | 0.2266   |
| 0.0023        | 186.0 | 2604 | 0.2283          | 0.3529    | 0.5493    | 0         | 0         | 0.2256   |
| 0.0021        | 187.0 | 2618 | 0.2409          | 0.25      | 0.5557    | 0         | 0         | 0.2014   |
| 0.0019        | 188.0 | 2632 | 0.2455          | 0.3158    | 0.5449    | 0         | 0         | 0.2152   |
| 0.0018        | 189.0 | 2646 | 0.2539          | 0.2727    | 0.5080    | 0         | 0         | 0.1952   |
| 0.0019        | 190.0 | 2660 | 0.2586          | 0.2727    | 0.5062    | 0         | 0         | 0.1947   |
| 0.0018        | 191.0 | 2674 | 0.2597          | 0.2727    | 0.5043    | 0         | 0         | 0.1943   |
| 0.0017        | 192.0 | 2688 | 0.2542          | 0.2308    | 0.5234    | 0         | 0         | 0.1885   |
| 0.0016        | 193.0 | 2702 | 0.2477          | 0.2069    | 0.5363    | 0         | 0         | 0.1858   |
| 0.0017        | 194.0 | 2716 | 0.2449          | 0.2308    | 0.5455    | 0         | 0         | 0.1941   |
| 0.0018        | 195.0 | 2730 | 0.2424          | 0.2308    | 0.5497    | 0         | 0         | 0.1951   |
| 0.0017        | 196.0 | 2744 | 0.2420          | 0.2       | 0.5504    | 0         | 0         | 0.1876   |
| 0.0017        | 197.0 | 2758 | 0.2418          | 0.2143    | 0.5515    | 0         | 0         | 0.1915   |
| 0.0017        | 198.0 | 2772 | 0.2426          | 0.24      | 0.5534    | 0         | 0         | 0.1984   |
| 0.0017        | 199.0 | 2786 | 0.2419          | 0.2308    | 0.5564    | 0         | 0         | 0.1968   |
| 0.0017        | 200.0 | 2800 | 0.2417          | 0.25      | 0.5560    | 0         | 0         | 0.2015   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "widget": [{"task": {"name": "NER", "type": "token-classification"}}], "model-index": [{"name": "roberta-finetuned-token-reqzarv2", "results": []}]}
transformers pytorch tensorboard roberta generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

roberta-finetuned-token-reqzarv2
================================


This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2139
* F1 B-cadj: 0.1075
* F1 I-cadj: 0.6150
* F1 B-peso: 0.3333
* F1 I-peso: 0
* Macro F1: 0.2640


Model description
-----------------


More information needed


Intended uses & limitations
---------------------------


More information needed


Training and evaluation data
----------------------------


More information needed


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #roberta #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0002
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 200
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3