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distilbert-finetuned-finer-4-v2
ShadyML/distilbert-finetuned-finer-4-v2
distilbert-finetuned-finer-4-v2 is a token classification model from ShadyML. 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
- Mar 9, 2024
- Updated
- Mar 9, 2024
- SHA
- e0652be2
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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. -->
distilbert-finetuned-finer-4-v2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0216
- Precision: 0.9039
- Recall: 0.9281
- F1: 0.9158
- Accuracy: 0.9931
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0244 | 1.0 | 2084 | 0.0261 | 0.8804 | 0.9073 | 0.8936 | 0.9911 |
| 0.0173 | 2.0 | 4168 | 0.0226 | 0.8999 | 0.9109 | 0.9053 | 0.9923 |
| 0.0125 | 3.0 | 6252 | 0.0216 | 0.9039 | 0.9281 | 0.9158 | 0.9931 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024