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update model card README.md

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@@ -11,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # char-bert-base-uncased
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- This model is a fine-tuned version of [char-bert-base-uncased/checkpoint-552072](https://huggingface.co/char-bert-base-uncased/checkpoint-552072) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2103
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  ## Model description
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@@ -38,22 +38,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:------:|:---------------:|
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- | 0.8329 | 1.0 | 92012 | 0.4066 |
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- | 0.4066 | 2.0 | 184024 | 0.3223 |
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- | 0.3422 | 3.0 | 276036 | 0.2803 |
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- | 0.3044 | 4.0 | 368048 | 0.2560 |
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- | 0.2782 | 5.0 | 460060 | 0.2399 |
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- | 0.2593 | 6.0 | 552072 | 0.2265 |
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- | 0.2693 | 7.0 | 644084 | 0.2366 |
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- | 0.2559 | 8.0 | 736096 | 0.2228 |
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- | 0.2431 | 9.0 | 828108 | 0.2112 |
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- | 0.2334 | 10.0 | 920120 | 0.2103 |
 
 
 
 
 
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  ### Framework versions
 
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  # char-bert-base-uncased
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+ This model is a fine-tuned version of [char-bert-base-uncased/checkpoint-1104144](https://huggingface.co/char-bert-base-uncased/checkpoint-1104144) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1941
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-------:|:---------------:|
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+ | 0.8329 | 1.0 | 92012 | 0.4066 |
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+ | 0.4066 | 2.0 | 184024 | 0.3223 |
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+ | 0.3422 | 3.0 | 276036 | 0.2803 |
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+ | 0.3044 | 4.0 | 368048 | 0.2560 |
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+ | 0.2782 | 5.0 | 460060 | 0.2399 |
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+ | 0.2593 | 6.0 | 552072 | 0.2265 |
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+ | 0.2693 | 7.0 | 644084 | 0.2366 |
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+ | 0.2559 | 8.0 | 736096 | 0.2228 |
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+ | 0.2431 | 9.0 | 828108 | 0.2112 |
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+ | 0.2334 | 10.0 | 920120 | 0.2103 |
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+ | 0.2453 | 11.0 | 1012132 | 0.2164 |
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+ | 0.2372 | 12.0 | 1104144 | 0.2113 |
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+ | 0.2288 | 13.0 | 1196156 | 0.2004 |
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+ | 0.2208 | 14.0 | 1288168 | 0.2002 |
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+ | 0.2152 | 15.0 | 1380180 | 0.1941 |
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  ### Framework versions