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fpadovani
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de_childes_42

Fill-Mask
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Safetensors
roberta
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  1. README.md +51 -52
  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: 4.1897
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  ## Model description
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@@ -43,62 +43,61 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 40000
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  - training_steps: 100000
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- - mixed_precision_training: Native AMP
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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 | 1.5021 | 2000 | 7.0336 |
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- | 6.9417 | 3.0041 | 4000 | 5.8112 |
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- | 6.9417 | 4.5062 | 6000 | 5.4586 |
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- | 5.2077 | 6.0083 | 8000 | 5.1717 |
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- | 5.2077 | 7.5103 | 10000 | 4.9583 |
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- | 4.7315 | 9.0124 | 12000 | 4.8002 |
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- | 4.7315 | 10.5145 | 14000 | 4.6706 |
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- | 4.4253 | 12.0165 | 16000 | 4.5552 |
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- | 4.4253 | 13.5186 | 18000 | 4.4522 |
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- | 4.1962 | 15.0207 | 20000 | 4.3739 |
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- | 4.1962 | 16.5227 | 22000 | 4.2925 |
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- | 4.0105 | 18.0248 | 24000 | 4.2277 |
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- | 4.0105 | 19.5268 | 26000 | 4.1706 |
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- | 3.857 | 21.0289 | 28000 | 4.1245 |
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- | 3.857 | 22.5310 | 30000 | 4.0846 |
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- | 3.7298 | 24.0330 | 32000 | 4.0589 |
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- | 3.7298 | 25.5351 | 34000 | 4.0266 |
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- | 3.6218 | 27.0372 | 36000 | 4.0028 |
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- | 3.6218 | 28.5392 | 38000 | 3.9863 |
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- | 3.5278 | 30.0413 | 40000 | 3.9732 |
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- | 3.5278 | 31.5434 | 42000 | 3.9720 |
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- | 3.4351 | 33.0454 | 44000 | 3.9599 |
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- | 3.4351 | 34.5475 | 46000 | 3.9566 |
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- | 3.3444 | 36.0496 | 48000 | 3.9572 |
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- | 3.3444 | 37.5516 | 50000 | 3.9680 |
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- | 3.2651 | 39.0537 | 52000 | 3.9788 |
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- | 3.2651 | 40.5558 | 54000 | 3.9815 |
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- | 3.1966 | 42.0578 | 56000 | 3.9928 |
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- | 3.1966 | 43.5599 | 58000 | 4.0061 |
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- | 3.1344 | 45.0620 | 60000 | 4.0126 |
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- | 3.1344 | 46.5640 | 62000 | 4.0198 |
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- | 3.0785 | 48.0661 | 64000 | 4.0377 |
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- | 3.0785 | 49.5682 | 66000 | 4.0502 |
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- | 3.0287 | 51.0702 | 68000 | 4.0644 |
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- | 3.0287 | 52.5723 | 70000 | 4.0714 |
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- | 2.9837 | 54.0744 | 72000 | 4.0852 |
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- | 2.9837 | 55.5764 | 74000 | 4.0964 |
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- | 2.9422 | 57.0785 | 76000 | 4.1148 |
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- | 2.9422 | 58.5805 | 78000 | 4.1221 |
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- | 2.9052 | 60.0826 | 80000 | 4.1276 |
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- | 2.9052 | 61.5847 | 82000 | 4.1346 |
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- | 2.8708 | 63.0867 | 84000 | 4.1505 |
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- | 2.8708 | 64.5888 | 86000 | 4.1574 |
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- | 2.839 | 66.0909 | 88000 | 4.1675 |
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- | 2.839 | 67.5929 | 90000 | 4.1727 |
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- | 2.8117 | 69.0950 | 92000 | 4.1767 |
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- | 2.8117 | 70.5971 | 94000 | 4.1823 |
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- | 2.7886 | 72.0991 | 96000 | 4.1867 |
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- | 2.7886 | 73.6012 | 98000 | 4.1872 |
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- | 2.768 | 75.1033 | 100000 | 4.1897 |
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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: 2.6072
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 40000
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  - training_steps: 100000
 
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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 | 1.5021 | 2000 | 7.5052 |
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+ | 7.4063 | 3.0041 | 4000 | 6.4338 |
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+ | 7.4063 | 4.5062 | 6000 | 6.3051 |
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+ | 6.0672 | 6.0083 | 8000 | 6.1663 |
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+ | 6.0672 | 7.5103 | 10000 | 6.0952 |
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+ | 5.8691 | 9.0124 | 12000 | 6.0122 |
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+ | 5.8691 | 10.5145 | 14000 | 5.9512 |
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+ | 5.7209 | 12.0165 | 16000 | 5.8691 |
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+ | 5.7209 | 13.5186 | 18000 | 5.8529 |
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+ | 5.6105 | 15.0207 | 20000 | 5.7965 |
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+ | 5.6105 | 16.5227 | 22000 | 5.7404 |
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+ | 5.5302 | 18.0248 | 24000 | 5.7424 |
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+ | 5.5302 | 19.5268 | 26000 | 5.7256 |
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+ | 5.4587 | 21.0289 | 28000 | 5.6831 |
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+ | 5.4587 | 22.5310 | 30000 | 5.3966 |
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+ | 5.0899 | 24.0330 | 32000 | 4.7042 |
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+ | 5.0899 | 25.5351 | 34000 | 4.2317 |
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+ | 4.0988 | 27.0372 | 36000 | 3.9093 |
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+ | 4.0988 | 28.5494 | 38000 | 3.7496 |
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+ | 3.555 | 30.0514 | 40000 | 3.5961 |
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+ | 3.555 | 31.5535 | 42000 | 3.4542 |
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+ | 3.2522 | 33.0556 | 44000 | 3.3300 |
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+ | 3.2522 | 34.5576 | 46000 | 3.2830 |
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+ | 3.0484 | 36.0597 | 48000 | 3.1864 |
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+ | 3.0484 | 37.5618 | 50000 | 3.1189 |
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+ | 2.9026 | 39.0638 | 52000 | 3.0475 |
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+ | 2.9026 | 40.5659 | 54000 | 2.9933 |
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+ | 2.7874 | 42.0680 | 56000 | 2.9411 |
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+ | 2.7874 | 43.5700 | 58000 | 2.9355 |
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+ | 2.7001 | 45.0721 | 60000 | 2.8913 |
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+ | 2.7001 | 46.5742 | 62000 | 2.8601 |
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+ | 2.6298 | 48.0762 | 64000 | 2.8227 |
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+ | 2.6298 | 49.5783 | 66000 | 2.8202 |
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+ | 2.5722 | 51.0804 | 68000 | 2.7874 |
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+ | 2.5722 | 52.5824 | 70000 | 2.7716 |
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+ | 2.523 | 54.0845 | 72000 | 2.7363 |
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+ | 2.523 | 55.5866 | 74000 | 2.7212 |
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+ | 2.4788 | 57.0886 | 76000 | 2.6944 |
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+ | 2.4788 | 58.5907 | 78000 | 2.6761 |
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+ | 2.4466 | 60.0928 | 80000 | 2.6705 |
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+ | 2.4466 | 61.5948 | 82000 | 2.6551 |
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+ | 2.4122 | 63.0969 | 84000 | 2.6368 |
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+ | 2.4122 | 64.5989 | 86000 | 2.6424 |
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+ | 2.3832 | 66.1010 | 88000 | 2.6345 |
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+ | 2.3832 | 67.6031 | 90000 | 2.6295 |
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+ | 2.3592 | 69.1051 | 92000 | 2.6247 |
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+ | 2.3592 | 70.6072 | 94000 | 2.6303 |
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+ | 2.347 | 72.1093 | 96000 | 2.5866 |
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+ | 2.347 | 73.6113 | 98000 | 2.6067 |
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+ | 2.3336 | 75.1134 | 100000 | 2.6072 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 59702184
 
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