Downloads · 30 days
0
anliR1-t5-base
asun17904/anliR1-t5-base
anliR1-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.
Access
Public
Updated Jan 28, 2024
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin894 MB · 100%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 27, 2024
- Updated
- Jan 28, 2024
- SHA
- bf6e032a
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 |
|---|---|---|
| 1.090 | 0.375 | 1.0 |
| 1.127 | 0.401 | 2.0 |
| 1.127 | 0.405 | 3.0 |
| 1.101 | 0.428 | 4.0 |
| 1.094 | 0.435 | 5.0 |
| 1.096 | 0.443 | 6.0 |
| 1.094 | 0.444 | 7.0 |
| 1.090 | 0.444 | 8.0 |
| 1.080 | 0.458 | 9.0 |
| 1.077 | 0.463 | 10.0 |
| 1.088 | 0.451 | 11.0 |
| 1.079 | 0.468 | 12.0 |
| 1.074 | 0.471 | 13.0 |
| 1.084 | 0.460 | 14.0 |
| 1.080 | 0.461 | 15.0 |
| 1.084 | 0.462 | 16.0 |
| 1.084 | 0.463 | 17.0 |
| 1.083 | 0.463 | 18.0 |
| 1.083 | 0.461 | 19.0 |
Test Accuracy: 0.331
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 27, 2024
- Updated
- Jan 28, 2024