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C-Stuti/output
output is a text classification model from C-Stuti. 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2969 | 1.0 | 505 | 0.6707 | 0.8376 | 0.8375 | 0.8376 | 0.8320 |
| 0.2567 | 2.0 | 1010 | 0.6184 | 0.8572 | 0.8516 | 0.8572 | 0.8519 |
| 0.1496 | 3.0 | 1515 | 0.6471 | 0.8693 | 0.8637 | 0.8693 | 0.8651 |
| 0.0826 | 4.0 | 2020 | 0.6897 | 0.8641 | 0.8600 | 0.8641 | 0.8604 |
| 0.0467 | 5.0 | 2525 | 0.7378 | 0.8676 | 0.8671 | 0.8676 | 0.8663 |
| 0.0229 | 6.0 | 3030 | 0.7521 | 0.8678 | 0.8670 | 0.8678 | 0.8666 |
| 0.01 | 7.0 | 3535 | 0.7643 | 0.8686 | 0.8681 | 0.8686 | 0.8673 |