Downloads · 30 days
3
15% of all-time downloads
gabizh/dbbuc_10p
dbbuc_10p is a token classification model from gabizh. 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
15% of all-time downloads
All-time downloads
20
Public
Parameters
66.4M
265 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors265 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 226 | 0.0659 | 0.3502 | 0.2968 | 0.3213 | 0.9567 |
| No log | 2.0 | 452 | 0.0579 | 0.4701 | 0.4492 | 0.4594 | 0.9640 |
| 0.0697 | 3.0 | 678 | 0.0581 | 0.4828 | 0.5111 | 0.4965 | 0.9660 |
| 0.0697 | 4.0 | 904 | 0.0639 | 0.5445 | 0.4857 | 0.5134 | 0.9675 |
| 0.0199 | 5.0 | 1130 | 0.0621 | 0.4907 | 0.5048 | 0.4977 | 0.9663 |