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anliR1-t5-base-kd
asun17904/anliR1-t5-base-kd
anliR1-t5-base-kd 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 Feb 1, 2024
Repo size
5.4 GB
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.bin894 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 31, 2024
- Updated
- Feb 1, 2024
- SHA
- 1ecc2198
Model card
From the Hugging Face model README
Knowledge Continuity Regularized Network
Dataset: ANLI Round: None
Trainer Hyperparameters:
lr= 5e-05per_device_batch_size= 8gradient_accumulation_steps= 2weight_decay= 0.0seed= 42
Regularization Hyperparameters
numerical stability denominator constant= 0.01lambda= 0.0001alpha= 2.0beta= 2.0
Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 34.239 | 0.403 | 1.0 |
| 35.481 | 0.395 | 2.0 |
| 35.944 | 0.407 | 3.0 |
| 35.125 | 0.438 | 4.0 |
| 34.990 | 0.444 | 5.0 |
| 35.375 | 0.425 | 6.0 |
| 34.941 | 0.449 | 7.0 |
| 34.913 | 0.447 | 8.0 |
| 34.559 | 0.461 | 9.0 |
| 34.499 | 0.464 | 10.0 |
| 34.479 | 0.462 | 11.0 |
| 34.368 | 0.461 | 12.0 |
| 34.369 | 0.464 | 13.0 |
| 34.496 | 0.466 | 14.0 |
| 34.358 | 0.468 | 15.0 |
| 34.275 | 0.469 | 16.0 |
| 34.063 | 0.477 | 17.0 |
| 33.969 | 0.483 | 18.0 |
| 33.991 | 0.478 | 19.0 |
Test Accuracy: 0.482
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 31, 2024
- Updated
- Feb 1, 2024