Downloads · 30 days
3
10% of all-time downloads
jwlee2/bert-base-cased-finetuned-ner
bert-base-cased-finetuned-ner is a token classification model from jwlee2. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
3
10% of all-time downloads
All-time downloads
29
Public
Parameters
108M
8.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.bin431 MB · 50%
From the Hugging Face model README
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1881 | 1.0 | 1105 | 0.1666 | 0.8345 | 0.8367 | 0.8356 | 0.9451 |
| 0.1376 | 2.0 | 2210 | 0.1675 | 0.8473 | 0.8406 | 0.8439 | 0.9477 |
| 0.0959 | 3.0 | 3315 | 0.1670 | 0.8416 | 0.8593 | 0.8504 | 0.9492 |
| 0.0704 | 4.0 | 4420 | 0.1787 | 0.8492 | 0.8575 | 0.8533 | 0.9499 |
| 0.0542 | 5.0 | 5525 | 0.1896 | 0.8500 | 0.8593 | 0.8546 | 0.9505 |