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my_awesome_wnut_model
priyanshug0405/my_awesome_wnut_model
my_awesome_wnut_model is a token classification model from priyanshug0405. 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
- distilbert
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 24, 2024
- SHA
- a9b66b50
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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. -->
my_awesome_wnut_model
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0581
- Precision: 0.9128
- Recall: 0.9097
- F1: 0.9112
- Accuracy: 0.9802
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0802 | 1.0 | 3750 | 0.0687 | 0.8897 | 0.8952 | 0.8924 | 0.9760 |
| 0.0519 | 2.0 | 7500 | 0.0581 | 0.9128 | 0.9097 | 0.9112 | 0.9802 |
| 0.0342 | 3.0 | 11250 | 0.0593 | 0.9174 | 0.9172 | 0.9173 | 0.9815 |
| 0.0253 | 4.0 | 15000 | 0.0634 | 0.9204 | 0.9200 | 0.9202 | 0.9818 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Jan 24, 2024