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Justice0893/distilbert-base-uncased-finetuned-pos-2
distilbert-base-uncased-finetuned-pos-2 is a token classification model from Justice0893. 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. 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 |
|---|---|---|---|---|---|---|---|
| 0.7867 | 1.0 | 878 | 0.3621 | 0.8983 | 0.9061 | 0.9022 | 0.9177 |
| 0.245 | 2.0 | 1756 | 0.3282 | 0.9092 | 0.9104 | 0.9098 | 0.9232 |
| 0.1919 | 3.0 | 2634 | 0.3052 | 0.9122 | 0.9180 | 0.9151 | 0.9268 |
| 0.1622 | 4.0 | 3512 | 0.2982 | 0.9146 | 0.9182 | 0.9164 | 0.9280 |
| 0.1425 | 5.0 | 4390 | 0.3041 | 0.9155 | 0.9201 | 0.9178 | 0.9292 |