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distilbert-base-uncased-finetuned-intro2-verizon
TieIncred/distilbert-base-uncased-finetuned-intro2-verizon
distilbert-base-uncased-finetuned-intro2-verizon is a text classification model from TieIncred. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024
- SHA
- eec347db
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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-base-uncased-finetuned-intro2-verizon
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: 0.0215
- Accuracy: 1.0
- F1: 1.0
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6826 | 1.0 | 3 | 0.6074 | 1.0 | 1.0 |
| 0.5609 | 2.0 | 6 | 0.4800 | 1.0 | 1.0 |
| 0.4792 | 3.0 | 9 | 0.3545 | 1.0 | 1.0 |
| 0.3244 | 4.0 | 12 | 0.2644 | 1.0 | 1.0 |
| 0.2651 | 5.0 | 15 | 0.1861 | 1.0 | 1.0 |
| 0.1719 | 6.0 | 18 | 0.1314 | 1.0 | 1.0 |
| 0.1361 | 7.0 | 21 | 0.0975 | 1.0 | 1.0 |
| 0.092 | 8.0 | 24 | 0.0748 | 1.0 | 1.0 |
| 0.0714 | 9.0 | 27 | 0.0599 | 1.0 | 1.0 |
| 0.0487 | 10.0 | 30 | 0.0489 | 1.0 | 1.0 |
| 0.0425 | 11.0 | 33 | 0.0407 | 1.0 | 1.0 |
| 0.0341 | 12.0 | 36 | 0.0347 | 1.0 | 1.0 |
| 0.0304 | 13.0 | 39 | 0.0303 | 1.0 | 1.0 |
| 0.0262 | 14.0 | 42 | 0.0273 | 1.0 | 1.0 |
| 0.0244 | 15.0 | 45 | 0.0252 | 1.0 | 1.0 |
| 0.022 | 16.0 | 48 | 0.0237 | 1.0 | 1.0 |
| 0.0213 | 17.0 | 51 | 0.0227 | 1.0 | 1.0 |
| 0.0204 | 18.0 | 54 | 0.0220 | 1.0 | 1.0 |
| 0.0207 | 19.0 | 57 | 0.0216 | 1.0 | 1.0 |
| 0.0184 | 20.0 | 60 | 0.0215 | 1.0 | 1.0 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024