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distilbert-base-uncased-distilled-clinc_test1
mariatveen/distilbert-base-uncased-distilled-clinc_test1
distilbert-base-uncased-distilled-clinc_test1 is a machine learning model from mariatveen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Oct 20, 2024
- SHA
- 82f69e75
Datasets
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-distilled-clinc_test1
This model is a fine-tuned version of distilbert-base-uncased on the clinc_oos dataset. It achieves the following results on the evaluation set:
- Loss: 0.2718
- Accuracy: 0.9513
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3886 | 1.0 | 318 | 1.7017 | 0.7435 |
| 1.3023 | 2.0 | 636 | 0.8403 | 0.8661 |
| 0.6692 | 3.0 | 954 | 0.4806 | 0.9210 |
| 0.4019 | 4.0 | 1272 | 0.3574 | 0.9381 |
| 0.2943 | 5.0 | 1590 | 0.3139 | 0.9461 |
| 0.2505 | 6.0 | 1908 | 0.2954 | 0.9494 |
| 0.2284 | 7.0 | 2226 | 0.2844 | 0.9490 |
| 0.2163 | 8.0 | 2544 | 0.2796 | 0.9513 |
| 0.209 | 9.0 | 2862 | 0.2765 | 0.9497 |
| 0.2052 | 10.0 | 3180 | 0.2749 | 0.9506 |
| 0.2014 | 11.0 | 3498 | 0.2721 | 0.9513 |
| 0.2 | 12.0 | 3816 | 0.2718 | 0.9513 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.4.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 26, 2024
- Updated
- Oct 20, 2024