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parallelm/gpt2_small_AR_bpe_8192_parallel10_42
gpt2_small_AR_bpe_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 |
|---|---|---|---|---|
| 5.8094 | 1.0 | 1800 | 4.3684 | 0.3047 |
| 4.2356 | 2.0 | 3600 | 3.9824 | 0.3391 |
| 3.9444 | 3.0 | 5400 | 3.8304 | 0.3522 |
| 3.8013 | 4.0 | 7200 | 3.7407 | 0.3626 |
| 3.7105 | 5.0 | 9000 | 3.6851 | 0.3679 |
| 3.6562 | 6.0 | 10800 | 3.6422 | 0.3727 |
| 3.6017 | 7.0 | 12600 | 3.6123 | 0.3766 |
| 3.5569 | 8.0 | 14400 | 3.5906 | 0.3785 |
| 3.5237 | 9.0 | 16200 | 3.5770 | 0.3802 |
| 3.4986 | 10.0 | 18000 | 3.5706 | 0.3813 |