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gechim/metadata-cls-no-gov
metadata-cls-no-gov is a text classification model from gechim. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of vinai/phobert-base-v2 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5915 | 1.9608 | 200 | 0.2063 | 0.9406 | 0.7585 |
| 0.1888 | 3.9216 | 400 | 0.1895 | 0.9426 | 0.8653 |
| 0.1081 | 5.8824 | 600 | 0.2354 | 0.9344 | 0.8188 |
| 0.0761 | 7.8431 | 800 | 0.2972 | 0.9324 | 0.8176 |
| 0.0483 | 9.8039 | 1000 | 0.2985 | 0.9324 | 0.8385 |
| 0.0348 | 11.7647 | 1200 | 0.3409 | 0.9283 | 0.8521 |
| 0.0271 | 13.7255 | 1400 | 0.3593 | 0.9283 | 0.8211 |
| 0.019 | 15.6863 | 1600 | 0.3608 | 0.9324 | 0.8352 |
| 0.0136 | 17.6471 | 1800 | 0.3729 | 0.9324 | 0.8358 |
| 0.0095 | 19.6078 | 2000 | 0.3806 | 0.9303 | 0.8372 |