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distilbert-base-uncased-finetuned-clinc__newtest
Christine567/distilbert-base-uncased-finetuned-clinc__newtest
distilbert-base-uncased-finetuned-clinc__newtest is a machine learning model from Christine567. 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
- Oct 15, 2024
- Updated
- Oct 19, 2024
- SHA
- a6a1eabf
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-finetuned-clinc__newtest
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: 0.1464
- Accuracy: 0.9494
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: 0.00028166874241704185
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6277 | 1.0 | 318 | 0.2331 | 0.9158 |
| 0.1584 | 2.0 | 636 | 0.1820 | 0.9352 |
| 0.1088 | 3.0 | 954 | 0.1582 | 0.9445 |
| 0.0884 | 4.0 | 1272 | 0.1504 | 0.9477 |
| 0.0805 | 5.0 | 1590 | 0.1496 | 0.9468 |
| 0.0769 | 6.0 | 1908 | 0.1464 | 0.9494 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.5.0+cu124
- Datasets 2.0.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 15, 2024
- Updated
- Oct 19, 2024