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AutoModel(..., trust_remote_code=True) or your main.py (sentence by sentence).| metric | value |
|---|---|
| eval_bio_accuracy | 0.993706 |
| eval_bio_precision | 0.925270 |
| eval_bio_recall | 0.936318 |
| eval_bio_f1 | 0.930762 |
| eval_cls_accuracy | 0.951408 |
| eval_cls_precision | 0.966135 |
| eval_cls_recall | 0.965174 |
| eval_cls_f1 | 0.965655 |
1from transformers import AutoModel, AutoTokenizer
2m = AutoModel.from_pretrained("MariaOls/RussianDMRecognizer_dual", trust_remote_code=True)
3t = AutoTokenizer.from_pretrained("MariaOls/RussianDMRecognizer_dual", use_fast=True)
4# m(...) devuelve dict con "logits": (logits_tok [B,L,3], logits_seq [B,2])