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parallelm/gpt2_small_EN_superbpe_8192_parallel10_42
gpt2_small_EN_superbpe_8192_parallel10_42 is a machine learning model from parallelm. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.2264 | 1.0 | 1527 | 4.7819 | 0.2163 |
| 4.5245 | 2.0 | 3054 | 4.3524 | 0.2513 |
| 4.3335 | 3.0 | 4581 | 4.1802 | 0.2682 |
| 4.1404 | 4.0 | 6108 | 4.0779 | 0.2784 |
| 4.0646 | 5.0 | 7635 | 4.0127 | 0.2875 |
| 3.9752 | 6.0 | 9162 | 3.9669 | 0.2921 |
| 3.9303 | 7.0 | 10689 | 3.9338 | 0.2957 |
| 3.8762 | 8.0 | 12216 | 3.9116 | 0.2992 |
| 3.8487 | 9.0 | 13743 | 3.8973 | 0.3003 |
| 3.8151 | 10.0 | 15270 | 3.8899 | 0.3017 |