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results
Raj-sharma01/results
results is a token classification model from Raj-sharma01. 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
- Jun 3, 2024
- Updated
- Jul 31, 2024
- SHA
- dcde547c
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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: 0.0317
- Precision: 0.9397
- Recall: 0.9605
- F1: 0.9500
- Accuracy: 0.9902
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: 5e-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 |
|---|---|---|---|---|---|---|---|
| 0.0479 | 1.0 | 2180 | 0.0402 | 0.9186 | 0.9507 | 0.9343 | 0.9873 |
| 0.0265 | 2.0 | 4360 | 0.0336 | 0.9305 | 0.9547 | 0.9424 | 0.9894 |
| 0.016 | 3.0 | 6540 | 0.0317 | 0.9397 | 0.9605 | 0.9500 | 0.9902 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 3, 2024
- Updated
- Jul 31, 2024