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biobert-v1.1-ner
sujeongh/biobert-v1.1-ner
biobert-v1.1-ner is a machine learning model from sujeongh. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- 09e44ef7
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. -->
biobert-v1.1-ner
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5211
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.575 | 1.0 | 2 | 0.5679 | 0.0 | 0.0 | 0.0 |
| 0.575 | 2.0 | 4 | 0.5512 | 0.0 | 0.0 | 0.0 |
| 0.575 | 3.0 | 6 | 0.5387 | 0.0 | 0.0 | 0.0 |
| 0.575 | 4.0 | 8 | 0.5294 | 0.0 | 0.0 | 0.0 |
| 0.5527 | 5.0 | 10 | 0.5236 | 0.0 | 0.0 | 0.0 |
| 0.5527 | 6.0 | 12 | 0.5211 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
- Type
- bert
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024