| datasets: | |
| - niltheory/ExistenceTypes | |
| language: | |
| - en | |
| Iteration #1: | |
| base distilBert used to train the model with a data training of 96. | |
| Iteration #2: | |
| Increased the data training from 96 to 296. | |
| Which greatly increased the accuracy scores, albeit there is some edge cases. | |
| Iteration #3: | |
| Switched from bert-base-uncased to bert-large-cased-whole-word-masking. | |
| Which it has more contextual sensitivity and is slightly more accurate than Iteration #2. | |
| It's overall more nuanced and sensitive. |