Scientific NER
Collection
3 items
•
Updated
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 60 | 0.1967 | 0.3563 | 0.3184 | 0.3363 | 0.9509 |
No log | 2.0 | 120 | 0.1726 | 0.4077 | 0.3855 | 0.3963 | 0.9525 |
No log | 3.0 | 180 | 0.1723 | 0.4204 | 0.4721 | 0.4447 | 0.9529 |
No log | 4.0 | 240 | 0.1775 | 0.4248 | 0.4735 | 0.4478 | 0.9526 |
No log | 5.0 | 300 | 0.1809 | 0.4499 | 0.4637 | 0.4567 | 0.9536 |