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augustocsc/gpt-m-large
gpt-m-large is a text generation model from augustocsc. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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1% of all-time downloads
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From the Hugging Face model README
This model is a fine-tuned version of augustocsc/gpt-m-large on the None 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 |
|---|---|---|---|
| 0.0343 | 0.03 | 1000 | 0.0343 |
| 0.0337 | 0.06 | 2000 | 0.0342 |
| 0.0338 | 0.09 | 3000 | 0.0338 |
| 0.0349 | 0.13 | 4000 | 0.0337 |
| 0.034 | 0.16 | 5000 | 0.0335 |
| 0.0342 | 0.19 | 6000 | 0.0334 |
| 0.0341 | 0.22 | 7000 | 0.0333 |
| 0.0339 | 0.25 | 8000 | 0.0333 |
| 0.0336 | 0.28 | 9000 | 0.0331 |
| 0.0335 | 0.31 | 10000 | 0.0330 |
| 0.0334 | 0.35 | 11000 | 0.0330 |
| 0.0331 | 0.38 | 12000 | 0.0328 |
| 0.0332 | 0.41 | 13000 | 0.0328 |
| 0.0327 | 0.44 | 14000 | 0.0327 |
| 0.0331 | 0.47 | 15000 | 0.0327 |
| 0.0335 | 0.5 | 16000 | 0.0327 |
| 0.0333 | 0.53 | 17000 | 0.0327 |
| 0.0333 | 0.57 | 18000 | 0.0327 |
| 0.0333 | 0.6 | 19000 | 0.0327 |
| 0.0332 | 0.63 | 20000 | 0.0327 |
| 0.0331 | 0.66 | 21000 | 0.0327 |
| 0.0328 | 0.69 | 22000 | 0.0327 |
| 0.033 | 0.72 | 23000 | 0.0327 |
| 0.0334 | 0.75 | 24000 | 0.0327 |
| 0.0334 | 0.79 | 25000 | 0.0327 |
| 0.0333 | 0.82 | 26000 | 0.0327 |
| 0.0332 | 0.85 | 27000 | 0.0327 |
| 0.033 | 0.88 | 28000 | 0.0327 |
| 0.033 | 0.91 | 29000 | 0.0327 |
| 0.0331 | 0.94 | 30000 | 0.0327 |
| 0.0335 | 0.97 | 31000 | 0.0327 |