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adith-ds/results
results is a text classification model from adith-ds. Use it when you need a label for a piece of text. 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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.safetensors438 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of bert-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 | Macro F1 | Macro Precision | Macro Recall | Macro Support |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 86 | 0.5550 | 0.1427 | 0.1109 | 0.2 | None |
| 0.6112 | 2.0 | 172 | 0.4244 | 0.5106 | 0.7966 | 0.4864 | None |
| 0.4482 | 3.0 | 258 | 0.3317 | 0.7370 | 0.7756 | 0.7129 | None |
| 0.3083 | 4.0 | 344 | 0.3029 | 0.7749 | 0.8252 | 0.7414 | None |
| 0.2015 | 5.0 | 430 | 0.2997 | 0.7893 | 0.8241 | 0.7742 | None |
| 0.1252 | 6.0 | 516 | 0.2980 | 0.8110 | 0.8430 | 0.7882 | None |
| 0.0736 | 7.0 | 602 | 0.3023 | 0.8148 | 0.8565 | 0.7811 | None |
| 0.0736 | 8.0 | 688 | 0.3091 | 0.8279 | 0.8448 | 0.8135 | None |
| 0.0384 | 9.0 | 774 | 0.3087 | 0.8313 | 0.8613 | 0.8062 | None |
| 0.0216 | 10.0 | 860 | 0.3095 | 0.8317 | 0.8609 | 0.8061 | None |