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parallelm/gpt2_small_AR_superbpe_8192_parallel10_42
gpt2_small_AR_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 |
|---|---|---|---|---|
| 6.6876 | 1.0 | 1584 | 5.1443 | 0.2001 |
| 4.8561 | 2.0 | 3168 | 4.6374 | 0.2386 |
| 4.6287 | 3.0 | 4752 | 4.4302 | 0.2567 |
| 4.4002 | 4.0 | 6336 | 4.3189 | 0.2680 |
| 4.3228 | 5.0 | 7920 | 4.2463 | 0.2756 |
| 4.2139 | 6.0 | 9504 | 4.1945 | 0.2799 |
| 4.1461 | 7.0 | 11088 | 4.1579 | 0.2843 |
| 4.105 | 8.0 | 12672 | 4.1299 | 0.2874 |
| 4.0626 | 9.0 | 14256 | 4.1115 | 0.2895 |
| 4.0408 | 10.0 | 15840 | 4.1049 | 0.2909 |