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scipaper-bert-finetuned-ner-larger
MrSoapman/scipaper-bert-finetuned-ner-larger
scipaper-bert-finetuned-ner-larger is a token classification model from MrSoapman. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Oct 27, 2023
- Updated
- Oct 28, 2023
- SHA
- 8b363651
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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. -->
scipaper-bert-finetuned-ner-larger
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0455
- 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 33 | 0.0457 | 0.0 |
| No log | 2.0 | 66 | 0.0459 | 0.0 |
| No log | 3.0 | 99 | 0.0460 | 0.0 |
| No log | 4.0 | 132 | 0.0457 | 0.0 |
| No log | 5.0 | 165 | 0.0456 | 0.0 |
| No log | 6.0 | 198 | 0.0455 | 0.0 |
| No log | 7.0 | 231 | 0.0456 | 0.0 |
| No log | 8.0 | 264 | 0.0455 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 27, 2023
- Updated
- Oct 28, 2023