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asun17904/imdb-bert-base-uncased-a1b2
imdb-bert-base-uncased-a1b2 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.
Trainer Hyperparameters: - lr = 5e-05 - perdevicebatchsize = 16 - gradientaccumulationsteps = 1 - weightdecay = 1e-09 - seed = 42
Downloads · 30 days
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From the Hugging Face model README
Trainer Hyperparameters:
lr = 5e-05per_device_batch_size = 16gradient_accumulation_steps = 1weight_decay = 1e-09seed = 42Regularization Hyperparameters
numerical stability denominator constant = 0.01lambda = 0.02alpha = 1.0beta = 2.0Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 13.927 | 0.888 | 1.0 |
| 12.801 | 0.919 | 2.0 |
| 13.474 | 0.902 | 3.0 |
| 15.621 | 0.836 | 4.0 |
| 14.249 | 0.875 | 5.0 |
| 15.069 | 0.849 | 6.0 |
| 15.787 | 0.827 | 7.0 |
| 14.876 | 0.853 | 8.0 |
| 15.467 | 0.836 | 9.0 |
| 14.760 | 0.859 | 10.0 |
| 14.527 | 0.866 | 11.0 |
| 14.600 | 0.863 | 12.0 |
| 14.573 | 0.864 | 13.0 |
| 14.808 | 0.857 | 14.0 |
| 14.598 | 0.863 | 15.0 |
| 14.682 | 0.861 | 16.0 |
| 14.436 | 0.868 | 17.0 |
| 14.817 | 0.856 | 18.0 |
| 14.897 | 0.854 | 19.0 |
| 14.498 | 0.866 | 20.0 |
| 14.495 | 0.866 | 21.0 |
| 14.473 | 0.867 | 22.0 |
| 14.777 | 0.858 | 23.0 |
| 15.106 | 0.848 | 24.0 |
| 14.523 | 0.865 | 25.0 |
| 14.853 | 0.855 | 26.0 |
| 14.600 | 0.863 | 27.0 |
| 14.930 | 0.852 | 28.0 |
| 14.741 | 0.859 | 29.0 |
| 15.183 | 0.845 | 30.0 |
| 14.729 | 0.859 | 31.0 |
| 14.666 | 0.861 | 32.0 |
| 15.021 | 0.851 | 33.0 |
| 14.729 | 0.859 | 34.0 |
| 14.664 | 0.861 | 35.0 |
| 14.875 | 0.855 | 36.0 |
| 14.765 | 0.858 | 37.0 |
| 14.766 | 0.858 | 38.0 |
| 14.681 | 0.861 | 39.0 |
| 14.751 | 0.859 | 40.0 |
| 14.778 | 0.858 | 41.0 |
| 14.846 | 0.856 | 42.0 |
| 14.731 | 0.859 | 43.0 |
| 14.707 | 0.860 | 44.0 |
| 14.712 | 0.860 | 45.0 |
| 14.728 | 0.859 | 46.0 |
| 14.833 | 0.856 | 47.0 |
| 14.727 | 0.859 | 48.0 |
| 14.738 | 0.859 | 49.0 |