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scibert_epd_5tag_lora
STUTI12345/scibert_epd_5tag_lora
scibert_epd_5tag_lora is a token classification model from STUTI12345. Use it when you need labels on individual words, such as names. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- peft
- Model type
- bert
- Access
- Public
- Created
- Nov 24, 2025
- Updated
- Nov 24, 2025
- SHA
- 67725bb9
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
scibert_epd_5tag_lora
This model is a fine-tuned version of allenai/scibert_scivocab_uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
- Precision: 0.9995
- Recall: 0.9983
- F1: 0.9989
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.0013 | 1.0 | 7292 | 0.0018 | 0.9977 | 0.9984 | 0.9980 |
| 0.0003 | 2.0 | 14584 | 0.0011 | 0.9992 | 0.9988 | 0.9990 |
| 0.0044 | 3.0 | 21876 | 0.0010 | 0.9994 | 0.9991 | 0.9992 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- peft
- Type
- bert
- Created
- Nov 24, 2025
- Updated
- Nov 24, 2025