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LiukG/gut_1024-finetuned-lora-bert-base-t2t
gut_1024-finetuned-lora-bert-base-t2t is a text classification model from LiukG. 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 AIRI-Institute/gena-lm-bert-base-t2t on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 | Mcc Score | Accuracy |
|---|---|---|---|---|---|---|
| 0.6922 | 0.02 | 100 | 0.6644 | 0.7478 | 0.0 | 0.5971 |
| 0.6582 | 0.04 | 200 | 0.6766 | 0.4699 | 0.2578 | 0.5570 |
| 0.6578 | 0.05 | 300 | 0.5801 | 0.8210 | 0.4886 | 0.7508 |
| 0.5793 | 0.07 | 400 | 0.5814 | 0.8013 | 0.4141 | 0.7082 |
| 0.5933 | 0.09 | 500 | 0.5877 | 0.7408 | 0.4494 | 0.7183 |
| 0.5616 | 0.11 | 600 | 0.5000 | 0.8229 | 0.5282 | 0.7766 |
| 0.5168 | 0.12 | 700 | 0.5027 | 0.8347 | 0.5540 | 0.7884 |
| 0.4788 | 0.14 | 800 | 0.5284 | 0.7922 | 0.5012 | 0.7572 |
| 0.5255 | 0.16 | 900 | 0.4859 | 0.8445 | 0.5696 | 0.7901 |
| 0.5404 | 0.18 | 1000 | 0.4700 | 0.8448 | 0.5728 | 0.7943 |