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distilbert-training-2
ShaunThayil/distilbert-training-2
distilbert-training-2 is a text classification model from ShaunThayil. 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
- Sep 20, 2023
- Updated
- Sep 20, 2023
- SHA
- 1f0b6711
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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-training-2
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: 0.0164
- Accuracy: 0.9976
- Precision: 0.9982
- Recall: 0.9929
- F1: 0.9956
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0.5 | 302 | 0.0849 | 0.9836 | 1.0 | 0.9398 | 0.9690 |
| No log | 1.0 | 604 | 0.0525 | 0.9894 | 0.9755 | 0.9858 | 0.9806 |
| 0.0957 | 1.5 | 906 | 0.0184 | 0.9971 | 0.9982 | 0.9912 | 0.9947 |
| 0.0957 | 2.0 | 1208 | 0.0438 | 0.9923 | 0.9982 | 0.9735 | 0.9857 |
| 0.0265 | 2.5 | 1510 | 0.0246 | 0.9966 | 0.9982 | 0.9894 | 0.9938 |
| 0.0265 | 3.0 | 1812 | 0.0170 | 0.9971 | 0.9982 | 0.9912 | 0.9947 |
| 0.0116 | 3.49 | 2114 | 0.0184 | 0.9971 | 1.0 | 0.9894 | 0.9947 |
| 0.0116 | 3.99 | 2416 | 0.0259 | 0.9961 | 1.0 | 0.9858 | 0.9929 |
| 0.0064 | 4.49 | 2718 | 0.0156 | 0.9976 | 0.9982 | 0.9929 | 0.9956 |
| 0.0064 | 4.99 | 3020 | 0.0164 | 0.9976 | 0.9982 | 0.9929 | 0.9956 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.2.0.dev20230913+cu121
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 20, 2023
- Updated
- Sep 20, 2023