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anliR2-t5-base-alum
asun17904/anliR2-t5-base-alum
anliR2-t5-base-alum 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
4.5 GB
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.bin894 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- 764b527d
Model card
From the Hugging Face model README
Knowledge Continuity Regularized Network
Dataset: ANLI Round: None
Trainer Hyperparameters:
lr= 5e-05per_device_batch_size= 4gradient_accumulation_steps= 4weight_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 |
|---|---|---|
| 1.140 | 0.389 | 1.0 |
| 1.127 | 0.407 | 2.0 |
| 1.126 | 0.409 | 3.0 |
| 1.130 | 0.401 | 4.0 |
| 1.122 | 0.414 | 5.0 |
| 1.110 | 0.431 | 6.0 |
| 1.114 | 0.427 | 7.0 |
| 1.109 | 0.433 | 8.0 |
| 1.102 | 0.440 | 9.0 |
| 1.093 | 0.451 | 10.0 |
| 1.085 | 0.459 | 11.0 |
| 1.096 | 0.448 | 12.0 |
| 1.092 | 0.449 | 13.0 |
| 1.094 | 0.449 | 14.0 |
Test Accuracy: 0.448
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024