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results
Raj-Sharma/results
results is a token classification model from Raj-Sharma. 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 5, 2024
- Updated
- Jul 11, 2024
- SHA
- 943ecf81
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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-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0517
- Precision: 0.9468
- Recall: 0.9623
- F1: 0.9545
- Accuracy: 0.9908
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: 7e-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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.047 | 1.0 | 2180 | 0.0385 | 0.9149 | 0.9466 | 0.9305 | 0.9879 |
| 0.0308 | 2.0 | 4360 | 0.0350 | 0.9181 | 0.9521 | 0.9348 | 0.9887 |
| 0.0199 | 3.0 | 6540 | 0.0334 | 0.9333 | 0.9546 | 0.9438 | 0.9895 |
| 0.0112 | 4.0 | 8720 | 0.0377 | 0.9412 | 0.9598 | 0.9504 | 0.9901 |
| 0.0065 | 5.0 | 10900 | 0.0417 | 0.9373 | 0.9619 | 0.9495 | 0.9903 |
| 0.0033 | 6.0 | 13080 | 0.0445 | 0.9464 | 0.9611 | 0.9537 | 0.9907 |
| 0.0014 | 7.0 | 15260 | 0.0517 | 0.9468 | 0.9623 | 0.9545 | 0.9908 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 5, 2024
- Updated
- Jul 11, 2024