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specialsaucem
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Model Details
Model Provider
specialsaucem
Model Tree
distilbert/distilbert-base-uncased
Input Modalities
Output Modalities
Supported Functionality
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3235 | 1.0 | 217 | 0.2289 | 0.9020 | 0.3235 |
| 0.2106 | 2.0 | 434 | 0.1942 | 0.9131 | 0.5709 |
| 0.1892 | 3.0 | 651 | 0.1853 | 0.9154 | 0.6031 |
| 0.1768 | 4.0 | 868 | 0.1830 | 0.9170 | 0.6352 |
| 0.1660 | 5.0 | 1085 | 0.1828 | 0.9174 | 0.6442 |
| 0.1582 | 6.0 | 1302 | 0.1853 | 0.9127 | 0.6444 |
| 0.1521 | 7.0 | 1519 | 0.1821 | 0.9199 | 0.6628 |
| 0.1450 | 8.0 | 1736 | 0.1849 | 0.9151 | 0.6534 |
| 0.1384 | 9.0 | 1953 | 0.1872 | 0.9154 | 0.6561 |
| 0.1328 | 10.0 | 2170 | 0.1877 | 0.9211 | 0.6582 |
| 0.1288 | 11.0 | 2387 | 0.1903 | 0.9203 | 0.6577 |
| 0.1245 | 12.0 | 2604 | 0.1937 | 0.9158 | 0.6544 |
| 0.1207 | 13.0 | 2821 | 0.1955 | 0.9168 | 0.6553 |
| 0.1164 | 14.0 | 3038 | 0.1962 | 0.9194 | 0.6650 |
| 0.1136 | 15.0 | 3255 | 0.1999 | 0.9156 | 0.6550 |
| 0.1103 | 16.0 | 3472 | 0.2008 | 0.9174 | 0.6575 |
| 0.1068 | 17.0 | 3689 | 0.2018 | 0.9178 | 0.6580 |
| 0.1068 | 18.0 | 3906 | 0.2037 | 0.9176 | 0.6569 |
| 0.1070 | 19.0 | 4123 | 0.2051 | 0.9162 | 0.6560 |
| 0.1046 | 20.0 | 4340 | 0.2050 | 0.9172 | 0.6558 |