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README.md
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 7.0703
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- Epoch:
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## Model description
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@@ -43,16 +43,106 @@ The following hyperparameters were used during training:
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| Train Loss | Validation Loss | Epoch |
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### Framework versions
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6315
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- Validation Loss: 7.0703
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+
- Epoch: 99
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.6331 | 7.0703 | 0 |
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| 0.6319 | 7.0703 | 1 |
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| 0.6283 | 7.0703 | 2 |
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| 0.6276 | 7.0703 | 3 |
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| 0.6295 | 7.0703 | 4 |
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| 0.6356 | 7.0703 | 5 |
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| 0.6282 | 7.0703 | 6 |
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| 0.6287 | 7.0703 | 7 |
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| 0.6309 | 7.0703 | 8 |
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| 0.6291 | 7.0703 | 9 |
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| 0.6320 | 7.0703 | 10 |
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| 0.6284 | 7.0703 | 11 |
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| 0.6333 | 7.0703 | 12 |
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| 0.6302 | 7.0703 | 13 |
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| 0.6346 | 7.0703 | 14 |
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| 0.6285 | 7.0703 | 15 |
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| 0.6248 | 7.0703 | 16 |
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| 0.6317 | 7.0703 | 17 |
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| 0.6291 | 7.0703 | 18 |
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| 0.6305 | 7.0703 | 19 |
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| 0.6321 | 7.0703 | 20 |
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| 0.6317 | 7.0703 | 21 |
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| 0.6274 | 7.0703 | 22 |
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| 0.6283 | 7.0703 | 23 |
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| 0.6359 | 7.0703 | 24 |
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| 0.6334 | 7.0703 | 25 |
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| 0.6306 | 7.0703 | 26 |
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| 0.6375 | 7.0703 | 27 |
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| 0.6267 | 7.0703 | 28 |
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| 0.6349 | 7.0703 | 29 |
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| 0.6298 | 7.0703 | 30 |
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| 0.6314 | 7.0703 | 31 |
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| 0.6347 | 7.0703 | 32 |
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| 0.6284 | 7.0703 | 33 |
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| 0.6300 | 7.0703 | 34 |
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| 0.6287 | 7.0703 | 35 |
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| 0.6337 | 7.0703 | 36 |
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| 0.6348 | 7.0703 | 37 |
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| 0.6297 | 7.0703 | 38 |
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| 0.6376 | 7.0703 | 39 |
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| 0.6340 | 7.0703 | 40 |
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| 0.6311 | 7.0703 | 41 |
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| 0.6327 | 7.0703 | 42 |
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| 0.6343 | 7.0703 | 43 |
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| 0.6297 | 7.0703 | 44 |
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| 0.6316 | 7.0703 | 45 |
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| 0.6302 | 7.0703 | 46 |
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| 0.6324 | 7.0703 | 47 |
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| 0.6355 | 7.0703 | 48 |
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| 0.6278 | 7.0703 | 49 |
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| 0.6324 | 7.0703 | 50 |
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| 0.6332 | 7.0703 | 51 |
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| 0.6294 | 7.0703 | 52 |
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| 0.6348 | 7.0703 | 53 |
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| 0.6288 | 7.0703 | 54 |
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| 0.6332 | 7.0703 | 55 |
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| 0.6334 | 7.0703 | 56 |
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| 0.6302 | 7.0703 | 57 |
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| 0.6287 | 7.0703 | 58 |
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| 0.6274 | 7.0703 | 59 |
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| 0.6272 | 7.0703 | 60 |
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| 0.6264 | 7.0703 | 61 |
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| 0.6298 | 7.0703 | 62 |
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| 0.6275 | 7.0703 | 63 |
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| 0.6315 | 7.0703 | 64 |
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| 0.6293 | 7.0703 | 65 |
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| 0.6325 | 7.0703 | 66 |
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| 0.6277 | 7.0703 | 67 |
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| 0.6292 | 7.0703 | 68 |
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| 0.6254 | 7.0703 | 69 |
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| 0.6351 | 7.0703 | 70 |
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| 0.6362 | 7.0703 | 71 |
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| 0.6312 | 7.0703 | 72 |
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| 0.6307 | 7.0703 | 73 |
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| 0.6260 | 7.0703 | 74 |
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| 0.6289 | 7.0703 | 75 |
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| 0.6333 | 7.0703 | 76 |
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| 0.6259 | 7.0703 | 77 |
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| 0.6270 | 7.0703 | 78 |
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| 0.6300 | 7.0703 | 79 |
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| 0.6321 | 7.0703 | 80 |
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| 0.6352 | 7.0703 | 81 |
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| 0.6283 | 7.0703 | 82 |
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| 0.6377 | 7.0703 | 83 |
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| 0.6291 | 7.0703 | 84 |
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| 0.6263 | 7.0703 | 85 |
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| 0.6302 | 7.0703 | 86 |
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| 0.6336 | 7.0703 | 87 |
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| 0.6326 | 7.0703 | 88 |
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| 0.6365 | 7.0703 | 89 |
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| 0.6328 | 7.0703 | 90 |
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| 0.6281 | 7.0703 | 91 |
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| 0.6360 | 7.0703 | 92 |
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| 0.6347 | 7.0703 | 93 |
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| 0.6318 | 7.0703 | 94 |
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| 0.6334 | 7.0703 | 95 |
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| 0.6349 | 7.0703 | 96 |
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| 0.6274 | 7.0703 | 97 |
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| 0.6266 | 7.0703 | 98 |
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| 0.6315 | 7.0703 | 99 |
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### Framework versions
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