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Model save

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1044
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  ## Model description
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@@ -40,15 +40,17 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0075 | 1.0 | 217 | 0.1947 |
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- | 0.1745 | 2.0 | 434 | 0.1224 |
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- | 0.0023 | 3.0 | 651 | 0.1044 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0678
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0076 | 1.0 | 217 | 0.1836 |
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+ | 0.0282 | 2.0 | 434 | 0.1188 |
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+ | 0.0016 | 3.0 | 651 | 0.0902 |
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+ | 0.0163 | 4.0 | 868 | 0.0758 |
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+ | 0.001 | 5.0 | 1085 | 0.0678 |
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  ### Framework versions
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