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results
slounaci/results
results is a token classification model from slounaci. 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 12, 2025
- Updated
- Jan 12, 2025
- SHA
- f1ea0ba5
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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. -->
results
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: 0.0934
- Precision: 0.7933
- Recall: 0.7272
- F1: 0.7584
- Accuracy: 0.9673
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: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 0.1396 | 1.0 | 147 | 0.1452 | 0.8017 | 0.5805 | 0.6701 | 0.9531 |
| 0.0895 | 2.0 | 294 | 0.1069 | 0.7726 | 0.6680 | 0.7162 | 0.9621 |
| 0.0608 | 3.0 | 441 | 0.0934 | 0.7933 | 0.7272 | 0.7584 | 0.9673 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cpu
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 12, 2025
- Updated
- Jan 12, 2025