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anliR3-bert-base-uncased
asun17904/anliR3-bert-base-uncased
anliR3-bert-base-uncased is a machine learning model from asun17904. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
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Public
Updated Jan 28, 2024
Repo size
3.1 GB
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At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024
- SHA
- 2c6bc076
Model card
From the Hugging Face model README
Knowledge Continuity Regularized Network
Dataset: ANLI Round: None
Trainer Hyperparameters:
lr= 5e-05per_device_batch_size= 16gradient_accumulation_steps= 1weight_decay= 1e-09seed= 42
Regularization Hyperparameters
numerical stability denominator constant= 1.0lambda= 1.0alpha= 1.0beta= 1.0
Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 34.947 | 0.335 | 1.0 |
| 34.936 | 0.330 | 2.0 |
| 34.925 | 0.337 | 3.0 |
| 34.925 | 0.335 | 4.0 |
| 34.924 | 0.335 | 5.0 |
| 34.922 | 0.327 | 6.0 |
| 34.923 | 0.338 | 7.0 |
| 34.924 | 0.330 | 8.0 |
| 34.922 | 0.335 | 9.0 |
Test Accuracy: 0.338
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 28, 2024
- Updated
- Jan 28, 2024