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anliR2-t5-base-kd
asun17904/anliR2-t5-base-kd
anliR2-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 Jan 31, 2024
Repo size
25.9 GB
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.bin894 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Jan 31, 2024
- SHA
- 1c09dd22
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= 0.01lambda= 0.001alpha= 2.0beta= 2.0
Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 36.309 | 0.387 | 1.0 |
| 36.410 | 0.393 | 2.0 |
| 36.364 | 0.400 | 3.0 |
| 36.109 | 0.410 | 4.0 |
| 36.679 | 0.391 | 5.0 |
| 36.034 | 0.415 | 6.0 |
| 35.636 | 0.425 | 7.0 |
| 35.863 | 0.412 | 8.0 |
| 35.793 | 0.420 | 9.0 |
| 35.573 | 0.430 | 10.0 |
| 35.316 | 0.439 | 11.0 |
| 35.824 | 0.425 | 12.0 |
| 35.705 | 0.425 | 13.0 |
| 35.397 | 0.434 | 14.0 |
| 35.350 | 0.439 | 15.0 |
| 35.182 | 0.444 | 16.0 |
| 35.098 | 0.445 | 17.0 |
| 34.967 | 0.447 | 18.0 |
| 34.875 | 0.454 | 19.0 |
Test Accuracy: 0.449
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 30, 2024
- Updated
- Jan 31, 2024