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End of training

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  1. README.md +41 -41
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@@ -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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4371
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  ## Model description
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@@ -45,46 +45,46 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.4430 | 1.0 | 6 | 2.8121 |
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- | 2.4335 | 2.0 | 12 | 1.9970 |
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- | 1.8482 | 3.0 | 18 | 1.6609 |
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- | 1.6428 | 4.0 | 24 | 1.5922 |
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- | 1.5931 | 5.0 | 30 | 1.5480 |
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- | 1.5590 | 6.0 | 36 | 1.5476 |
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- | 1.5855 | 7.0 | 42 | 1.5314 |
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- | 1.5334 | 8.0 | 48 | 1.5124 |
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- | 1.5071 | 9.0 | 54 | 1.4958 |
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- | 1.5029 | 10.0 | 60 | 1.4703 |
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- | 1.4879 | 11.0 | 66 | 1.4827 |
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- | 1.4898 | 12.0 | 72 | 1.4500 |
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- | 1.4617 | 13.0 | 78 | 1.4486 |
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- | 1.4728 | 14.0 | 84 | 1.4568 |
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- | 1.4570 | 15.0 | 90 | 1.4442 |
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- | 1.4639 | 16.0 | 96 | 1.4497 |
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- | 1.4571 | 17.0 | 102 | 1.4542 |
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- | 1.4564 | 18.0 | 108 | 1.4503 |
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- | 1.4549 | 19.0 | 114 | 1.4441 |
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- | 1.4489 | 20.0 | 120 | 1.4400 |
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- | 1.4491 | 21.0 | 126 | 1.4407 |
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- | 1.4548 | 22.0 | 132 | 1.4385 |
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- | 1.4681 | 23.0 | 138 | 1.4413 |
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- | 1.4845 | 24.0 | 144 | 1.4515 |
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- | 1.4692 | 25.0 | 150 | 1.4541 |
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- | 1.4597 | 26.0 | 156 | 1.4542 |
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- | 1.4495 | 27.0 | 162 | 1.4515 |
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- | 1.4554 | 28.0 | 168 | 1.4508 |
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- | 1.4717 | 29.0 | 174 | 1.4385 |
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- | 1.4538 | 30.0 | 180 | 1.4382 |
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- | 1.4440 | 31.0 | 186 | 1.4461 |
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- | 1.4601 | 32.0 | 192 | 1.4443 |
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- | 1.4431 | 33.0 | 198 | 1.4435 |
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- | 1.4476 | 34.0 | 204 | 1.4447 |
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- | 1.4390 | 35.0 | 210 | 1.4411 |
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- | 1.4407 | 36.0 | 216 | 1.4387 |
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- | 1.4463 | 37.0 | 222 | 1.4381 |
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- | 1.4480 | 38.0 | 228 | 1.4374 |
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- | 1.4424 | 39.0 | 234 | 1.4373 |
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- | 1.4478 | 40.0 | 240 | 1.4371 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5025
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4213 | 1.0 | 6 | 2.7742 |
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+ | 2.3873 | 2.0 | 12 | 1.9848 |
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+ | 1.8855 | 3.0 | 18 | 1.6983 |
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+ | 1.6818 | 4.0 | 24 | 1.5908 |
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+ | 1.5942 | 5.0 | 30 | 1.5682 |
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+ | 1.5581 | 6.0 | 36 | 1.5332 |
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+ | 1.5573 | 7.0 | 42 | 1.5375 |
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+ | 1.5423 | 8.0 | 48 | 1.5241 |
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+ | 1.5435 | 9.0 | 54 | 1.5207 |
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+ | 1.5402 | 10.0 | 60 | 1.5169 |
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+ | 1.5330 | 11.0 | 66 | 1.5100 |
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+ | 1.5252 | 12.0 | 72 | 1.5091 |
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+ | 1.5234 | 13.0 | 78 | 1.5080 |
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+ | 1.5284 | 14.0 | 84 | 1.5142 |
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+ | 1.5221 | 15.0 | 90 | 1.5212 |
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+ | 1.5305 | 16.0 | 96 | 1.5103 |
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+ | 1.5199 | 17.0 | 102 | 1.5069 |
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+ | 1.5174 | 18.0 | 108 | 1.5121 |
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+ | 1.5104 | 19.0 | 114 | 1.5072 |
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+ | 1.5197 | 20.0 | 120 | 1.5043 |
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+ | 1.5101 | 21.0 | 126 | 1.5044 |
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+ | 1.5145 | 22.0 | 132 | 1.5040 |
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+ | 1.5226 | 23.0 | 138 | 1.5058 |
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+ | 1.5299 | 24.0 | 144 | 1.5069 |
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+ | 1.5290 | 25.0 | 150 | 1.5061 |
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+ | 1.5070 | 26.0 | 156 | 1.5067 |
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+ | 1.5077 | 27.0 | 162 | 1.5066 |
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+ | 1.5240 | 28.0 | 168 | 1.5030 |
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+ | 1.5344 | 29.0 | 174 | 1.5010 |
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+ | 1.5148 | 30.0 | 180 | 1.5009 |
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+ | 1.5182 | 31.0 | 186 | 1.5029 |
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+ | 1.5158 | 32.0 | 192 | 1.5058 |
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+ | 1.5093 | 33.0 | 198 | 1.5057 |
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+ | 1.5149 | 34.0 | 204 | 1.5037 |
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+ | 1.5098 | 35.0 | 210 | 1.5022 |
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+ | 1.5095 | 36.0 | 216 | 1.5020 |
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+ | 1.5085 | 37.0 | 222 | 1.5021 |
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+ | 1.5091 | 38.0 | 228 | 1.5020 |
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+ | 1.5020 | 39.0 | 234 | 1.5025 |
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+ | 1.5103 | 40.0 | 240 | 1.5025 |
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  ### Framework versions