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distilbert-base-uncased-finetuned-qnli
centaur31/distilbert-base-uncased-finetuned-qnli
distilbert-base-uncased-finetuned-qnli is a machine learning model from centaur31. 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
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- 903a4b4c
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-qnli
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: 0.2932
- Accuracy: 0.8874
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3493 | 1.0 | 6547 | 0.2973 | 0.8777 |
| 0.2559 | 2.0 | 13094 | 0.2932 | 0.8874 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024