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asun17904/anliR2-bert-base-uncased-alum
anliR2-bert-base-uncased-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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Updated Jan 30, 2024
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From the Hugging Face model README
Dataset: ANLI Round: None
Trainer Hyperparameters:
lr = 5e-05per_device_batch_size = 16gradient_accumulation_steps = 1weight_decay = 1e-09seed = 42Regularization Hyperparameters
numerical stability denominator constant = 1.0lambda = 1.0alpha = 1.0beta = 1.0Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 1.117 | 0.391 | 1.0 |
| 1.106 | 0.418 | 2.0 |
| 1.093 | 0.434 | 3.0 |
| 1.072 | 0.464 | 4.0 |
| 1.098 | 0.434 | 5.0 |
| 1.084 | 0.453 | 6.0 |
| 1.088 | 0.447 | 7.0 |
| 1.080 | 0.459 | 8.0 |
| 1.099 | 0.440 | 9.0 |
| 1.075 | 0.468 | 10.0 |
| 1.078 | 0.460 | 11.0 |
| 1.079 | 0.465 | 12.0 |
| 1.082 | 0.463 | 13.0 |
| 1.091 | 0.449 | 14.0 |
| 1.082 | 0.458 | 15.0 |
| 1.086 | 0.456 | 16.0 |
| 1.089 | 0.450 | 17.0 |
| 1.082 | 0.467 | 18.0 |