2020-Q2-full_tweets
This model is a fine-tuned version of DouglasPontes/2020-Q1-full_tweets on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0061
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: 4.1e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2400000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.01 | 8000 | 2.1043 |
2.2608 | 0.02 | 16000 | 2.0934 |
2.2608 | 0.03 | 24000 | 2.0862 |
2.2409 | 0.03 | 32000 | 2.0805 |
2.2409 | 0.04 | 40000 | 2.0793 |
2.2278 | 0.05 | 48000 | 2.0718 |
2.2278 | 0.06 | 56000 | 2.0753 |
2.2059 | 0.07 | 64000 | 2.0668 |
2.2059 | 0.08 | 72000 | 2.0657 |
2.1997 | 0.09 | 80000 | 2.0620 |
2.1997 | 0.1 | 88000 | 2.0553 |
2.1988 | 0.1 | 96000 | 2.0569 |
2.1988 | 0.11 | 104000 | 2.0525 |
2.1861 | 0.12 | 112000 | 2.0556 |
2.1861 | 0.13 | 120000 | 2.0493 |
2.1823 | 0.14 | 128000 | 2.0509 |
2.1823 | 0.15 | 136000 | 2.0461 |
2.1851 | 0.16 | 144000 | 2.0476 |
2.1851 | 0.17 | 152000 | 2.0450 |
2.1862 | 0.17 | 160000 | 2.0469 |
2.1862 | 0.18 | 168000 | 2.0442 |
2.1741 | 0.19 | 176000 | 2.0456 |
2.1741 | 0.2 | 184000 | 2.0442 |
2.181 | 0.21 | 192000 | 2.0402 |
2.181 | 0.22 | 200000 | 2.0423 |
2.1692 | 0.23 | 208000 | 2.0413 |
2.1692 | 0.24 | 216000 | 2.0448 |
2.1678 | 0.24 | 224000 | 2.0418 |
2.1678 | 0.25 | 232000 | 2.0417 |
2.1756 | 0.26 | 240000 | 2.0342 |
2.1756 | 0.27 | 248000 | 2.0377 |
2.1752 | 0.28 | 256000 | 2.0381 |
2.1752 | 0.29 | 264000 | 2.0354 |
2.1673 | 0.3 | 272000 | 2.0381 |
2.1673 | 0.31 | 280000 | 2.0375 |
2.1585 | 0.31 | 288000 | 2.0336 |
2.1585 | 0.32 | 296000 | 2.0344 |
2.1703 | 0.33 | 304000 | 2.0348 |
2.1703 | 0.34 | 312000 | 2.0330 |
2.1667 | 0.35 | 320000 | 2.0352 |
2.1667 | 0.36 | 328000 | 2.0359 |
2.1649 | 0.37 | 336000 | 2.0317 |
2.1649 | 0.38 | 344000 | 2.0314 |
2.1564 | 0.38 | 352000 | 2.0306 |
2.1564 | 0.39 | 360000 | 2.0299 |
2.161 | 0.4 | 368000 | 2.0317 |
2.161 | 0.41 | 376000 | 2.0325 |
2.1551 | 0.42 | 384000 | 2.0274 |
2.1551 | 0.43 | 392000 | 2.0282 |
2.1602 | 0.44 | 400000 | 2.0301 |
2.1602 | 0.45 | 408000 | 2.0303 |
2.1581 | 0.45 | 416000 | 2.0260 |
2.1581 | 0.46 | 424000 | 2.0248 |
2.1494 | 0.47 | 432000 | 2.0265 |
2.1494 | 0.48 | 440000 | 2.0247 |
2.1508 | 0.49 | 448000 | 2.0231 |
2.1508 | 0.5 | 456000 | 2.0276 |
2.153 | 0.51 | 464000 | 2.0276 |
2.153 | 0.51 | 472000 | 2.0242 |
2.1489 | 0.52 | 480000 | 2.0259 |
2.1489 | 0.53 | 488000 | 2.0257 |
2.1468 | 0.54 | 496000 | 2.0275 |
2.1468 | 0.55 | 504000 | 2.0303 |
2.1446 | 0.56 | 512000 | 2.0248 |
2.1446 | 0.57 | 520000 | 2.0286 |
2.1409 | 0.58 | 528000 | 2.0211 |
2.1409 | 0.58 | 536000 | 2.0204 |
2.1536 | 0.59 | 544000 | 2.0199 |
2.1536 | 0.6 | 552000 | 2.0281 |
2.1416 | 0.61 | 560000 | 2.0237 |
2.1416 | 0.62 | 568000 | 2.0231 |
2.1502 | 0.63 | 576000 | 2.0205 |
2.1502 | 0.64 | 584000 | 2.0217 |
2.1424 | 0.65 | 592000 | 2.0242 |
2.1424 | 0.65 | 600000 | 2.0238 |
2.1469 | 0.66 | 608000 | 2.0192 |
2.1469 | 0.67 | 616000 | 2.0249 |
2.145 | 0.68 | 624000 | 2.0196 |
2.145 | 0.69 | 632000 | 2.0224 |
2.1503 | 0.7 | 640000 | 2.0216 |
2.1503 | 0.71 | 648000 | 2.0228 |
2.1355 | 0.72 | 656000 | 2.0197 |
2.1355 | 0.72 | 664000 | 2.0240 |
2.1392 | 0.73 | 672000 | 2.0232 |
2.1392 | 0.74 | 680000 | 2.0209 |
2.1378 | 0.75 | 688000 | 2.0219 |
2.1378 | 0.76 | 696000 | 2.0192 |
2.1446 | 0.77 | 704000 | 2.0195 |
2.1446 | 0.78 | 712000 | 2.0197 |
2.1351 | 0.79 | 720000 | 2.0184 |
2.1351 | 0.79 | 728000 | 2.0162 |
2.1437 | 0.8 | 736000 | 2.0151 |
2.1437 | 0.81 | 744000 | 2.0202 |
2.1249 | 0.82 | 752000 | 2.0169 |
2.1249 | 0.83 | 760000 | 2.0189 |
2.1355 | 0.84 | 768000 | 2.0221 |
2.1355 | 0.85 | 776000 | 2.0194 |
2.1387 | 0.86 | 784000 | 2.0189 |
2.1387 | 0.86 | 792000 | 2.0165 |
2.1334 | 0.87 | 800000 | 2.0169 |
2.1334 | 0.88 | 808000 | 2.0189 |
2.137 | 0.89 | 816000 | 2.0162 |
2.137 | 0.9 | 824000 | 2.0168 |
2.1331 | 0.91 | 832000 | 2.0193 |
2.1331 | 0.92 | 840000 | 2.0166 |
2.1293 | 0.93 | 848000 | 2.0137 |
2.1293 | 0.93 | 856000 | 2.0183 |
2.1358 | 0.94 | 864000 | 2.0184 |
2.1358 | 0.95 | 872000 | 2.0171 |
2.1296 | 0.96 | 880000 | 2.0179 |
2.1296 | 0.97 | 888000 | 2.0152 |
2.1319 | 0.98 | 896000 | 2.0174 |
2.1319 | 0.99 | 904000 | 2.0206 |
2.1344 | 1.0 | 912000 | 2.0179 |
2.1344 | 1.0 | 920000 | 2.0154 |
2.1352 | 1.01 | 928000 | 2.0185 |
2.1352 | 1.02 | 936000 | 2.0170 |
2.1336 | 1.03 | 944000 | 2.0164 |
2.1336 | 1.04 | 952000 | 2.0137 |
2.1315 | 1.05 | 960000 | 2.0176 |
2.1315 | 1.06 | 968000 | 2.0155 |
2.1255 | 1.06 | 976000 | 2.0145 |
2.1255 | 1.07 | 984000 | 2.0233 |
2.1249 | 1.08 | 992000 | 2.0148 |
2.1249 | 1.09 | 1000000 | 2.0162 |
2.123 | 1.1 | 1008000 | 2.0174 |
2.123 | 1.11 | 1016000 | 2.0150 |
2.1263 | 1.12 | 1024000 | 2.0161 |
2.1263 | 1.13 | 1032000 | 2.0129 |
2.1232 | 1.13 | 1040000 | 2.0167 |
2.1232 | 1.14 | 1048000 | 2.0125 |
2.1168 | 1.15 | 1056000 | 2.0113 |
2.1168 | 1.16 | 1064000 | 2.0136 |
2.1307 | 1.17 | 1072000 | 2.0143 |
2.1307 | 1.18 | 1080000 | 2.0166 |
2.1336 | 1.19 | 1088000 | 2.0103 |
2.1336 | 1.2 | 1096000 | 2.0130 |
2.1227 | 1.2 | 1104000 | 2.0125 |
2.1227 | 1.21 | 1112000 | 2.0183 |
2.1223 | 1.22 | 1120000 | 2.0148 |
2.1223 | 1.23 | 1128000 | 2.0147 |
2.1289 | 1.24 | 1136000 | 2.0109 |
2.1289 | 1.25 | 1144000 | 2.0164 |
2.1278 | 1.26 | 1152000 | 2.0163 |
2.1278 | 1.27 | 1160000 | 2.0121 |
2.1261 | 1.27 | 1168000 | 2.0113 |
2.1261 | 1.28 | 1176000 | 2.0137 |
2.126 | 1.29 | 1184000 | 2.0152 |
2.126 | 1.3 | 1192000 | 2.0104 |
2.1235 | 1.31 | 1200000 | 2.0132 |
2.1235 | 1.32 | 1208000 | 2.0114 |
2.1229 | 1.33 | 1216000 | 2.0105 |
2.1229 | 1.34 | 1224000 | 2.0131 |
2.1213 | 1.34 | 1232000 | 2.0141 |
2.1213 | 1.35 | 1240000 | 2.0109 |
2.1185 | 1.36 | 1248000 | 2.0129 |
2.1185 | 1.37 | 1256000 | 2.0110 |
2.131 | 1.38 | 1264000 | 2.0123 |
2.131 | 1.39 | 1272000 | 2.0105 |
2.1141 | 1.4 | 1280000 | 2.0104 |
2.1141 | 1.41 | 1288000 | 2.0150 |
2.1219 | 1.41 | 1296000 | 2.0161 |
2.1219 | 1.42 | 1304000 | 2.0093 |
2.1203 | 1.43 | 1312000 | 2.0104 |
2.1203 | 1.44 | 1320000 | 2.0144 |
2.1264 | 1.45 | 1328000 | 2.0085 |
2.1264 | 1.46 | 1336000 | 2.0119 |
2.1194 | 1.47 | 1344000 | 2.0118 |
2.1194 | 1.48 | 1352000 | 2.0110 |
2.117 | 1.48 | 1360000 | 2.0147 |
2.117 | 1.49 | 1368000 | 2.0135 |
2.1311 | 1.5 | 1376000 | 2.0077 |
2.1311 | 1.51 | 1384000 | 2.0066 |
2.1215 | 1.52 | 1392000 | 2.0089 |
2.1215 | 1.53 | 1400000 | 2.0118 |
2.1185 | 1.54 | 1408000 | 2.0105 |
2.1185 | 1.54 | 1416000 | 2.0123 |
2.1284 | 1.55 | 1424000 | 2.0134 |
2.1284 | 1.56 | 1432000 | 2.0093 |
2.1174 | 1.57 | 1440000 | 2.0102 |
2.1174 | 1.58 | 1448000 | 2.0076 |
2.1108 | 1.59 | 1456000 | 2.0074 |
2.1108 | 1.6 | 1464000 | 2.0071 |
2.1252 | 1.61 | 1472000 | 2.0092 |
2.1252 | 1.61 | 1480000 | 2.0080 |
2.121 | 1.62 | 1488000 | 2.0053 |
2.121 | 1.63 | 1496000 | 2.0072 |
2.1178 | 1.64 | 1504000 | 2.0059 |
2.1178 | 1.65 | 1512000 | 2.0084 |
2.1154 | 1.66 | 1520000 | 2.0106 |
2.1154 | 1.67 | 1528000 | 2.0117 |
2.1214 | 1.68 | 1536000 | 2.0070 |
2.1214 | 1.68 | 1544000 | 2.0079 |
2.1175 | 1.69 | 1552000 | 2.0102 |
2.1175 | 1.7 | 1560000 | 2.0097 |
2.1206 | 1.71 | 1568000 | 2.0092 |
2.1206 | 1.72 | 1576000 | 2.0055 |
2.1302 | 1.73 | 1584000 | 2.0085 |
2.1302 | 1.74 | 1592000 | 2.0110 |
2.1177 | 1.75 | 1600000 | 2.0065 |
2.1177 | 1.75 | 1608000 | 2.0132 |
2.1101 | 1.76 | 1616000 | 2.0086 |
2.1101 | 1.77 | 1624000 | 2.0077 |
2.1194 | 1.78 | 1632000 | 2.0081 |
2.1194 | 1.79 | 1640000 | 2.0088 |
2.1167 | 1.8 | 1648000 | 2.0022 |
2.1167 | 1.81 | 1656000 | 2.0077 |
2.1083 | 1.82 | 1664000 | 2.0066 |
2.1083 | 1.82 | 1672000 | 2.0137 |
2.1232 | 1.83 | 1680000 | 2.0067 |
2.1232 | 1.84 | 1688000 | 2.0039 |
2.1212 | 1.85 | 1696000 | 2.0090 |
2.1212 | 1.86 | 1704000 | 2.0079 |
2.1246 | 1.87 | 1712000 | 2.0083 |
2.1246 | 1.88 | 1720000 | 2.0039 |
2.1129 | 1.89 | 1728000 | 2.0069 |
2.1129 | 1.89 | 1736000 | 2.0079 |
2.1209 | 1.9 | 1744000 | 2.0058 |
2.1209 | 1.91 | 1752000 | 2.0072 |
2.1209 | 1.92 | 1760000 | 2.0068 |
2.1209 | 1.93 | 1768000 | 2.0079 |
2.1184 | 1.94 | 1776000 | 2.0036 |
2.1184 | 1.95 | 1784000 | 2.0065 |
2.1065 | 1.96 | 1792000 | 2.0077 |
2.1065 | 1.96 | 1800000 | 2.0062 |
2.109 | 1.97 | 1808000 | 2.0090 |
2.109 | 1.98 | 1816000 | 2.0124 |
2.1081 | 1.99 | 1824000 | 2.0066 |
2.1081 | 2.0 | 1832000 | 2.0081 |
2.1151 | 2.01 | 1840000 | 2.0085 |
2.1151 | 2.02 | 1848000 | 2.0054 |
2.1178 | 2.03 | 1856000 | 2.0058 |
2.1178 | 2.03 | 1864000 | 2.0048 |
2.1035 | 2.04 | 1872000 | 2.0040 |
2.1035 | 2.05 | 1880000 | 2.0059 |
2.1197 | 2.06 | 1888000 | 2.0071 |
2.1197 | 2.07 | 1896000 | 2.0057 |
2.1143 | 2.08 | 1904000 | 2.0059 |
2.1143 | 2.09 | 1912000 | 2.0043 |
2.1082 | 2.09 | 1920000 | 2.0068 |
2.1082 | 2.1 | 1928000 | 2.0057 |
2.1202 | 2.11 | 1936000 | 2.0072 |
2.1202 | 2.12 | 1944000 | 2.0057 |
2.1138 | 2.13 | 1952000 | 2.0051 |
2.1138 | 2.14 | 1960000 | 2.0085 |
2.1082 | 2.15 | 1968000 | 2.0076 |
2.1082 | 2.16 | 1976000 | 2.0077 |
2.1084 | 2.16 | 1984000 | 2.0020 |
2.1084 | 2.17 | 1992000 | 2.0050 |
2.1151 | 2.18 | 2000000 | 2.0066 |
2.1151 | 2.19 | 2008000 | 2.0031 |
2.1141 | 2.2 | 2016000 | 2.0128 |
2.1141 | 2.21 | 2024000 | 2.0022 |
2.1129 | 2.22 | 2032000 | 2.0065 |
2.1129 | 2.23 | 2040000 | 2.0054 |
2.1164 | 2.23 | 2048000 | 2.0039 |
2.1164 | 2.24 | 2056000 | 2.0031 |
2.1121 | 2.25 | 2064000 | 2.0101 |
2.1121 | 2.26 | 2072000 | 2.0099 |
2.1071 | 2.27 | 2080000 | 2.0042 |
2.1071 | 2.28 | 2088000 | 2.0030 |
2.1094 | 2.29 | 2096000 | 2.0048 |
2.1094 | 2.3 | 2104000 | 2.0046 |
2.1017 | 2.3 | 2112000 | 2.0039 |
2.1017 | 2.31 | 2120000 | 2.0011 |
2.1124 | 2.32 | 2128000 | 2.0071 |
2.1124 | 2.33 | 2136000 | 2.0061 |
2.1064 | 2.34 | 2144000 | 2.0040 |
2.1064 | 2.35 | 2152000 | 2.0075 |
2.115 | 2.36 | 2160000 | 2.0026 |
2.115 | 2.37 | 2168000 | 2.0068 |
2.114 | 2.37 | 2176000 | 2.0066 |
2.114 | 2.38 | 2184000 | 2.0080 |
2.1171 | 2.39 | 2192000 | 2.0032 |
2.1171 | 2.4 | 2200000 | 2.0036 |
2.1119 | 2.41 | 2208000 | 2.0048 |
2.1119 | 2.42 | 2216000 | 2.0059 |
2.1097 | 2.43 | 2224000 | 2.0058 |
2.1097 | 2.44 | 2232000 | 2.0049 |
2.1091 | 2.44 | 2240000 | 2.0058 |
2.1091 | 2.45 | 2248000 | 2.0032 |
2.1107 | 2.46 | 2256000 | 2.0077 |
2.1107 | 2.47 | 2264000 | 2.0032 |
2.1126 | 2.48 | 2272000 | 2.0055 |
2.1126 | 2.49 | 2280000 | 2.0026 |
2.1173 | 2.5 | 2288000 | 2.0062 |
2.1173 | 2.51 | 2296000 | 2.0039 |
2.114 | 2.51 | 2304000 | 2.0064 |
2.114 | 2.52 | 2312000 | 2.0113 |
2.1131 | 2.53 | 2320000 | 2.0065 |
2.1131 | 2.54 | 2328000 | 2.0098 |
2.1045 | 2.55 | 2336000 | 2.0061 |
2.1045 | 2.56 | 2344000 | 2.0066 |
2.1144 | 2.57 | 2352000 | 2.0060 |
2.1144 | 2.57 | 2360000 | 2.0059 |
2.1086 | 2.58 | 2368000 | 2.0039 |
2.1086 | 2.59 | 2376000 | 2.0076 |
2.1058 | 2.6 | 2384000 | 2.0036 |
2.1058 | 2.61 | 2392000 | 2.0077 |
2.1112 | 2.62 | 2400000 | 2.0000 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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Base model
DouglasPontes/2020-Q1-full_tweets