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LLMBook_distilbert-base-uncased-adaptive-clinc
yurongzhong/LLMBook_distilbert-base-uncased-adaptive-clinc
LLMBook_distilbert-base-uncased-adaptive-clinc is a text classification model from yurongzhong. 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
- Feb 6, 2025
- Updated
- Feb 7, 2025
- SHA
- ca2c327c
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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. -->
LLMBook_distilbert-base-uncased-adaptive-clinc
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: 0.3643
- Accuracy: 0.9461
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.6766 | 1.0 | 318 | 2.7447 | 0.7281 |
| 2.1192 | 2.0 | 636 | 1.4047 | 0.8610 |
| 1.0901 | 3.0 | 954 | 0.7653 | 0.9074 |
| 0.5991 | 4.0 | 1272 | 0.5181 | 0.93 |
| 0.3892 | 5.0 | 1590 | 0.4251 | 0.9371 |
| 0.2972 | 6.0 | 1908 | 0.3953 | 0.9390 |
| 0.2545 | 7.0 | 2226 | 0.3728 | 0.9429 |
| 0.2319 | 8.0 | 2544 | 0.3659 | 0.9461 |
| 0.2226 | 9.0 | 2862 | 0.3643 | 0.9461 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.3.0+cpu
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 6, 2025
- Updated
- Feb 7, 2025