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fpadovani
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german_clm_childes_42

Text Generation
Transformers
Safetensors
gpt2
Generated from Trainer
text-generation-inference
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  1. README.md +53 -53
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.3348
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  ## Model description
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@@ -47,58 +47,58 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-------:|:------:|:---------------:|
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- | No log | 1.3276 | 2000 | 6.8111 |
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- | 6.7052 | 2.6552 | 4000 | 5.2489 |
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- | 6.7052 | 3.9827 | 6000 | 4.8334 |
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- | 4.6011 | 5.3103 | 8000 | 4.5945 |
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- | 4.6011 | 6.6379 | 10000 | 4.4471 |
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- | 4.1311 | 7.9655 | 12000 | 4.3496 |
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- | 4.1311 | 9.2931 | 14000 | 4.2791 |
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- | 3.8551 | 10.6206 | 16000 | 4.2176 |
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- | 3.8551 | 11.9482 | 18000 | 4.1808 |
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- | 3.6553 | 13.2758 | 20000 | 4.1480 |
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- | 3.6553 | 14.6034 | 22000 | 4.1244 |
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- | 3.4944 | 15.9310 | 24000 | 4.1036 |
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- | 3.4944 | 17.2585 | 26000 | 4.0837 |
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- | 3.3589 | 18.5861 | 28000 | 4.0664 |
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- | 3.3589 | 19.9137 | 30000 | 4.0494 |
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- | 3.2511 | 21.2413 | 32000 | 4.0538 |
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- | 3.2511 | 22.5689 | 34000 | 4.0513 |
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- | 3.1592 | 23.8964 | 36000 | 4.0287 |
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- | 3.1592 | 25.2240 | 38000 | 4.0395 |
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- | 3.0779 | 26.5516 | 40000 | 4.0467 |
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- | 3.0779 | 27.8792 | 42000 | 4.0412 |
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- | 3.0034 | 29.2068 | 44000 | 4.0514 |
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- | 3.0034 | 30.5344 | 46000 | 4.0581 |
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- | 2.9282 | 31.8619 | 48000 | 4.0613 |
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- | 2.9282 | 33.1895 | 50000 | 4.0739 |
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- | 2.8601 | 34.5171 | 52000 | 4.0870 |
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- | 2.8601 | 35.8447 | 54000 | 4.0898 |
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- | 2.8037 | 37.1723 | 56000 | 4.1204 |
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- | 2.8037 | 38.4998 | 58000 | 4.1324 |
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- | 2.751 | 39.8274 | 60000 | 4.1339 |
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- | 2.751 | 41.1550 | 62000 | 4.1532 |
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- | 2.7015 | 42.4826 | 64000 | 4.1742 |
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- | 2.7015 | 43.8102 | 66000 | 4.1717 |
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- | 2.6626 | 45.1377 | 68000 | 4.1888 |
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- | 2.6626 | 46.4653 | 70000 | 4.2004 |
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- | 2.6203 | 47.7929 | 72000 | 4.2134 |
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- | 2.6203 | 49.1205 | 74000 | 4.2247 |
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- | 2.585 | 50.4481 | 76000 | 4.2420 |
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- | 2.585 | 51.7756 | 78000 | 4.2502 |
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- | 2.5544 | 53.1032 | 80000 | 4.2732 |
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- | 2.5544 | 54.4308 | 82000 | 4.2792 |
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- | 2.5223 | 55.7584 | 84000 | 4.2878 |
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- | 2.5223 | 57.0860 | 86000 | 4.2994 |
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- | 2.496 | 58.4135 | 88000 | 4.3056 |
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- | 2.496 | 59.7411 | 90000 | 4.3080 |
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- | 2.4733 | 61.0687 | 92000 | 4.3204 |
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- | 2.4733 | 62.3963 | 94000 | 4.3243 |
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- | 2.4503 | 63.7239 | 96000 | 4.3270 |
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- | 2.4503 | 65.0514 | 98000 | 4.3339 |
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- | 2.4342 | 66.3790 | 100000 | 4.3348 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.6292
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:--------:|:------:|:---------------:|
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+ | No log | 3.1447 | 2000 | 6.6666 |
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+ | 6.5315 | 6.2893 | 4000 | 5.1019 |
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+ | 6.5315 | 9.4340 | 6000 | 4.6770 |
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+ | 4.3407 | 12.5786 | 8000 | 4.4404 |
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+ | 4.3407 | 15.7233 | 10000 | 4.2867 |
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+ | 3.8725 | 18.8679 | 12000 | 4.1719 |
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+ | 3.8725 | 22.0126 | 14000 | 4.0966 |
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+ | 3.5953 | 25.1572 | 16000 | 4.0332 |
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+ | 3.5953 | 28.3019 | 18000 | 3.9956 |
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+ | 3.3822 | 31.4465 | 20000 | 3.9709 |
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+ | 3.3822 | 34.5912 | 22000 | 3.9515 |
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+ | 3.2038 | 37.7358 | 24000 | 3.9379 |
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+ | 3.2038 | 40.8805 | 26000 | 3.9355 |
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+ | 3.0443 | 44.0252 | 28000 | 3.9516 |
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+ | 3.0443 | 47.1698 | 30000 | 3.9560 |
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+ | 2.8937 | 50.3145 | 32000 | 3.9868 |
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+ | 2.8937 | 53.4591 | 34000 | 4.0257 |
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+ | 2.7503 | 56.6038 | 36000 | 4.0503 |
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+ | 2.7503 | 59.7484 | 38000 | 4.0912 |
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+ | 2.6083 | 62.8931 | 40000 | 4.1437 |
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+ | 2.6083 | 66.0377 | 42000 | 4.2207 |
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+ | 2.4507 | 69.1824 | 44000 | 4.2918 |
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+ | 2.4507 | 72.3270 | 46000 | 4.3598 |
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+ | 2.2924 | 75.4717 | 48000 | 4.4447 |
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+ | 2.2924 | 78.6164 | 50000 | 4.5189 |
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+ | 2.1545 | 81.7610 | 52000 | 4.5722 |
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+ | 2.1545 | 84.9057 | 54000 | 4.6449 |
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+ | 2.0329 | 88.0503 | 56000 | 4.7517 |
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+ | 2.0329 | 91.1950 | 58000 | 4.8083 |
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+ | 1.9237 | 94.3396 | 60000 | 4.8806 |
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+ | 1.9237 | 97.4843 | 62000 | 4.9335 |
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+ | 1.833 | 100.6289 | 64000 | 4.9898 |
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+ | 1.833 | 103.7736 | 66000 | 5.0513 |
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+ | 1.7526 | 106.9182 | 68000 | 5.1019 |
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+ | 1.7526 | 110.0629 | 70000 | 5.1573 |
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+ | 1.6779 | 113.2075 | 72000 | 5.2098 |
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+ | 1.6779 | 116.3522 | 74000 | 5.2536 |
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+ | 1.6143 | 119.4969 | 76000 | 5.3061 |
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+ | 1.6143 | 122.6415 | 78000 | 5.3506 |
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+ | 1.5572 | 125.7862 | 80000 | 5.3889 |
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+ | 1.5572 | 128.9308 | 82000 | 5.4262 |
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+ | 1.5054 | 132.0755 | 84000 | 5.4681 |
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+ | 1.5054 | 135.2201 | 86000 | 5.5066 |
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+ | 1.4587 | 138.3648 | 88000 | 5.5313 |
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+ | 1.4587 | 141.5094 | 90000 | 5.5517 |
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+ | 1.4189 | 144.6541 | 92000 | 5.5767 |
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+ | 1.4189 | 147.7987 | 94000 | 5.5990 |
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+ | 1.3839 | 150.9434 | 96000 | 5.6174 |
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+ | 1.3839 | 154.0881 | 98000 | 5.6240 |
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+ | 1.3559 | 157.2327 | 100000 | 5.6292 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 51007160
 
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