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bdpc/SciBERT_25K_steps_bs64
SciBERT_25K_steps_bs64 is a text classification model from bdpc. 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 allenai/scibert_scivocab_uncased 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 | Accuracy | Precision | Recall | F1 | Hamming |
|---|---|---|---|---|---|---|---|---|
| 0.0467 | 0.16 | 5000 | 0.0416 | 0.9902 | 0.0 | 0.0 | 0.0 | 0.0098 |
| 0.0236 | 0.32 | 10000 | 0.0223 | 0.9932 | 0.8192 | 0.3929 | 0.5311 | 0.0068 |
| 0.0198 | 0.47 | 15000 | 0.0190 | 0.9939 | 0.8015 | 0.4934 | 0.6108 | 0.0061 |
| 0.0185 | 0.63 | 20000 | 0.0180 | 0.9940 | 0.7974 | 0.5220 | 0.6310 | 0.0060 |
| 0.0181 | 0.79 | 25000 | 0.0177 | 0.9941 | 0.7990 | 0.5288 | 0.6364 | 0.0059 |