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anliR3-t5-base
asun17904/anliR3-t5-base
anliR3-t5-base 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 29, 2024
Repo size
13.4 GB
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.bin894 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 28, 2024
- Updated
- Jan 29, 2024
- SHA
- 60f17485
Model card
From the Hugging Face model README
Knowledge Continuity Regularized Network
Dataset: ANLI Round: None
Trainer Hyperparameters:
lr= 5e-05per_device_batch_size= 32gradient_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 |
|---|---|---|
| 1.110 | 0.424 | 1.0 |
| 1.098 | 0.440 | 2.0 |
| 1.104 | 0.432 | 3.0 |
| 1.096 | 0.447 | 4.0 |
| 1.098 | 0.449 | 5.0 |
| 1.106 | 0.438 | 6.0 |
| 1.109 | 0.434 | 7.0 |
| 1.097 | 0.451 | 8.0 |
| 1.086 | 0.459 | 9.0 |
| 1.094 | 0.452 | 10.0 |
| 1.100 | 0.445 | 11.0 |
| 1.104 | 0.441 | 12.0 |
| 1.092 | 0.455 | 13.0 |
| 1.087 | 0.458 | 14.0 |
| 1.092 | 0.451 | 15.0 |
| 1.092 | 0.453 | 16.0 |
| 1.089 | 0.456 | 17.0 |
| 1.083 | 0.464 | 18.0 |
| 1.089 | 0.458 | 19.0 |
Test Accuracy: 0.460
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 28, 2024
- Updated
- Jan 29, 2024