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new-test-model
kSaluja/new-test-model
new-test-model is a token classification model from kSaluja. 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
- Apr 25, 2022
- Updated
- Apr 25, 2022
- SHA
- a99f00df
Try a prompt
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. -->
new-test-model
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0962
- Precision: 0.9704
- Recall: 0.9766
- F1: 0.9735
- Accuracy: 0.9791
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 151 | 0.1872 | 0.9295 | 0.9405 | 0.9349 | 0.9535 |
| No log | 2.0 | 302 | 0.1417 | 0.9574 | 0.9652 | 0.9613 | 0.9679 |
| No log | 3.0 | 453 | 0.1028 | 0.9676 | 0.9693 | 0.9684 | 0.9742 |
| 0.3037 | 4.0 | 604 | 0.1063 | 0.9676 | 0.9696 | 0.9686 | 0.9743 |
| 0.3037 | 5.0 | 755 | 0.0962 | 0.9704 | 0.9766 | 0.9735 | 0.9791 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 25, 2022
- Updated
- Apr 25, 2022