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bert-base-cased-sentence-splitter

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bert
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  1. README.md +33 -6
  2. model.safetensors +1 -1
  3. runs/Aug17_08-52-09_fax-0/events.out.tfevents.1755420729.fax-0.13302.0 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0027
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- - F1: 0.9771
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  ## Model description
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@@ -44,15 +44,42 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 49 | 0.0048 | 0.9595 |
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- | No log | 2.0 | 98 | 0.0033 | 0.9668 |
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- | No log | 3.0 | 147 | 0.0027 | 0.9771 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0021
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+ - F1: 0.9922
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 49 | 0.0083 | 0.9593 |
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+ | No log | 2.0 | 98 | 0.0029 | 0.9726 |
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+ | No log | 3.0 | 147 | 0.0023 | 0.9786 |
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+ | No log | 4.0 | 196 | 0.0032 | 0.9771 |
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+ | No log | 5.0 | 245 | 0.0019 | 0.9861 |
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+ | No log | 6.0 | 294 | 0.0017 | 0.9846 |
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+ | No log | 7.0 | 343 | 0.0019 | 0.9861 |
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+ | No log | 8.0 | 392 | 0.0025 | 0.9891 |
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+ | No log | 9.0 | 441 | 0.0018 | 0.9846 |
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+ | No log | 10.0 | 490 | 0.0014 | 0.9907 |
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+ | 0.0091 | 11.0 | 539 | 0.0021 | 0.9861 |
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+ | 0.0091 | 12.0 | 588 | 0.0014 | 0.9922 |
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+ | 0.0091 | 13.0 | 637 | 0.0016 | 0.9938 |
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+ | 0.0091 | 14.0 | 686 | 0.0018 | 0.9907 |
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+ | 0.0091 | 15.0 | 735 | 0.0016 | 0.9907 |
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+ | 0.0091 | 16.0 | 784 | 0.0016 | 0.9922 |
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+ | 0.0091 | 17.0 | 833 | 0.0018 | 0.9922 |
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+ | 0.0091 | 18.0 | 882 | 0.0018 | 0.9907 |
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+ | 0.0091 | 19.0 | 931 | 0.0015 | 0.9922 |
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+ | 0.0091 | 20.0 | 980 | 0.0018 | 0.9922 |
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+ | 0.0004 | 21.0 | 1029 | 0.0020 | 0.9922 |
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+ | 0.0004 | 22.0 | 1078 | 0.0025 | 0.9907 |
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+ | 0.0004 | 23.0 | 1127 | 0.0026 | 0.9907 |
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+ | 0.0004 | 24.0 | 1176 | 0.0019 | 0.9922 |
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+ | 0.0004 | 25.0 | 1225 | 0.0018 | 0.9922 |
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+ | 0.0004 | 26.0 | 1274 | 0.0019 | 0.9922 |
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+ | 0.0004 | 27.0 | 1323 | 0.0020 | 0.9922 |
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+ | 0.0004 | 28.0 | 1372 | 0.0021 | 0.9922 |
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+ | 0.0004 | 29.0 | 1421 | 0.0022 | 0.9922 |
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+ | 0.0004 | 30.0 | 1470 | 0.0021 | 0.9922 |
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  ### Framework versions
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