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SahuH/distilbert-ner
distilbert-ner is a token classification model from SahuH. 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. --
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.safetensors266 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
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 | 45 | 1.5295 | 0.2627 | 0.0223 | 0.0411 | 0.6639 |
| No log | 2.0 | 90 | 1.2463 | 0.3241 | 0.2831 | 0.3022 | 0.6845 |
| No log | 3.0 | 135 | 1.0915 | 0.3560 | 0.4052 | 0.3790 | 0.7005 |
| No log | 4.0 | 180 | 0.9411 | 0.5225 | 0.3180 | 0.3954 | 0.7428 |
| No log | 5.0 | 225 | 0.8653 | 0.4437 | 0.5304 | 0.4832 | 0.7580 |
| No log | 6.0 | 270 | 0.7936 | 0.4913 | 0.5362 | 0.5128 | 0.7798 |
| No log | 7.0 | 315 | 0.7715 | 0.4974 | 0.5623 | 0.5279 | 0.7840 |
| No log | 8.0 | 360 | 0.7545 | 0.5083 | 0.5601 | 0.5329 | 0.7880 |
| No log | 9.0 | 405 | 0.7464 | 0.5125 | 0.5694 | 0.5395 | 0.7921 |
| No log | 10.0 | 450 | 0.7475 | 0.5070 | 0.5725 | 0.5377 | 0.7903 |