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asun17904/imdb-bert-base-uncased-a2b2
imdb-bert-base-uncased-a2b2 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 = 0.01alpha = 2.0beta = 2.0Extended Logs:
| eval_loss | eval_accuracy | epoch |
|---|---|---|
| 7.262 | 0.860 | 1.0 |
| 6.747 | 0.892 | 2.0 |
| 7.280 | 0.859 | 3.0 |
| 7.021 | 0.875 | 4.0 |
| 7.106 | 0.868 | 5.0 |
| 7.054 | 0.873 | 6.0 |
| 7.037 | 0.874 | 7.0 |
| 7.054 | 0.872 | 8.0 |
| 7.084 | 0.871 | 9.0 |
| 7.320 | 0.857 | 10.0 |
| 7.094 | 0.871 | 11.0 |
| 7.046 | 0.874 | 12.0 |
| 7.073 | 0.872 | 13.0 |
| 7.151 | 0.867 | 14.0 |
| 7.054 | 0.874 | 15.0 |
| 7.125 | 0.869 | 16.0 |
| 7.034 | 0.875 | 17.0 |
| 7.069 | 0.872 | 18.0 |
| 7.010 | 0.876 | 19.0 |
| 7.048 | 0.874 | 20.0 |
| 6.984 | 0.878 | 21.0 |
| 7.022 | 0.875 | 22.0 |
| 7.020 | 0.874 | 23.0 |
| 7.099 | 0.871 | 24.0 |
| 7.102 | 0.870 | 25.0 |
| 7.797 | 0.828 | 26.0 |
| 7.066 | 0.873 | 27.0 |
| 7.046 | 0.874 | 28.0 |
| 7.104 | 0.870 | 29.0 |
| 7.118 | 0.870 | 30.0 |
| 7.270 | 0.860 | 31.0 |
| 7.103 | 0.870 | 32.0 |
| 7.087 | 0.872 | 33.0 |
| 7.103 | 0.871 | 34.0 |
| 7.941 | 0.817 | 35.0 |
| 7.066 | 0.873 | 36.0 |
| 7.140 | 0.869 | 37.0 |
| 7.055 | 0.873 | 38.0 |
| 7.151 | 0.868 | 39.0 |
| 7.231 | 0.863 | 40.0 |
| 7.158 | 0.868 | 41.0 |
| 7.073 | 0.873 | 42.0 |
| 7.087 | 0.871 | 43.0 |
| 7.108 | 0.871 | 44.0 |
| 7.053 | 0.873 | 45.0 |
| 7.057 | 0.873 | 46.0 |
| 7.075 | 0.873 | 47.0 |
| 7.069 | 0.873 | 48.0 |
| 7.097 | 0.871 | 49.0 |