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sahithiankireddy/token_classification_test
token_classification_test is a token classification model from sahithiankireddy. 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 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 | 47 | 1.1923 | 0.6932 | 0.6053 | 0.6463 | 0.7206 |
| No log | 2.0 | 94 | 0.6271 | 0.8247 | 0.7896 | 0.8068 | 0.8400 |
| No log | 3.0 | 141 | 0.4480 | 0.8799 | 0.8512 | 0.8653 | 0.8918 |
| No log | 4.0 | 188 | 0.3751 | 0.8996 | 0.8744 | 0.8868 | 0.9088 |
| No log | 5.0 | 235 | 0.3377 | 0.9043 | 0.8882 | 0.8962 | 0.9155 |
| No log | 6.0 | 282 | 0.3139 | 0.9150 | 0.8976 | 0.9062 | 0.9223 |
| No log | 7.0 | 329 | 0.3060 | 0.9091 | 0.8972 | 0.9031 | 0.9214 |
| No log | 8.0 | 376 | 0.2918 | 0.9162 | 0.9064 | 0.9113 | 0.9271 |
| No log | 9.0 | 423 | 0.2856 | 0.9209 | 0.9070 | 0.9139 | 0.9293 |
| No log | 10.0 | 470 | 0.2809 | 0.9228 | 0.9081 | 0.9154 | 0.9311 |
| 0.5294 | 11.0 | 517 | 0.2803 | 0.9232 | 0.9104 | 0.9168 | 0.9321 |
| 0.5294 | 12.0 | 564 | 0.2761 | 0.9259 | 0.9154 | 0.9206 | 0.9349 |
| 0.5294 | 13.0 | 611 | 0.2737 | 0.9272 | 0.9156 | 0.9214 | 0.9357 |
| 0.5294 | 14.0 | 658 | 0.2742 | 0.9279 | 0.9164 | 0.9221 | 0.9362 |
| 0.5294 | 15.0 | 705 | 0.2740 | 0.9257 | 0.9158 | 0.9207 | 0.9354 |