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update model card README.md

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@@ -14,12 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 4.3872
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- - eval_runtime: 83.5178
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- - eval_samples_per_second: 0.539
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- - eval_steps_per_second: 0.144
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- - epoch: 1.0
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- - step: 91
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  ## Model description
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@@ -44,11 +39,20 @@ 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: 15
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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- - Datasets 2.11.0
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8657
 
 
 
 
 
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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: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 127 | 3.4034 |
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+ | No log | 2.0 | 254 | 2.9517 |
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+ | No log | 3.0 | 381 | 2.8657 |
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+
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  ### Framework versions
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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  - Tokenizers 0.13.3