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arushisharma/finetuned_bert_pos_model
finetuned_bert_pos_model is a token classification model from arushisharma. 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/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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 123 | 0.1823 | 0.9362 | 0.9322 | 0.9342 | 0.9438 |
| No log | 2.0 | 246 | 0.1700 | 0.9409 | 0.9381 | 0.9395 | 0.9482 |
| No log | 3.0 | 369 | 0.1618 | 0.9431 | 0.9403 | 0.9417 | 0.9501 |
| No log | 4.0 | 492 | 0.1564 | 0.9448 | 0.9418 | 0.9433 | 0.9516 |
| 0.1554 | 5.0 | 615 | 0.1559 | 0.9454 | 0.9426 | 0.9440 | 0.9521 |