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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0594
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- - Matthews Correlation: 0.5255
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  ## Model description
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@@ -37,10 +37,10 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.49 | 1.0 | 1069 | 0.4803 | 0.4181 |
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- | 0.3354 | 2.0 | 2138 | 0.5939 | 0.5114 |
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- | 0.2393 | 3.0 | 3207 | 0.8114 | 0.5062 |
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- | 0.1864 | 4.0 | 4276 | 1.0369 | 0.5083 |
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- | 0.1072 | 5.0 | 5345 | 1.0594 | 0.5255 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4341
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+ - Matthews Correlation: 0.4600
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 9.881638457643646e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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+ - seed: 37
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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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.45 | 1.0 | 1069 | 0.9061 | 0.2926 |
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+ | 0.3901 | 2.0 | 2138 | 0.7333 | 0.3877 |
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+ | 0.2976 | 3.0 | 3207 | 0.8140 | 0.3997 |
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+ | 0.2158 | 4.0 | 4276 | 1.1014 | 0.4422 |
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+ | 0.0857 | 5.0 | 5345 | 1.4341 | 0.4600 |
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  ### Framework versions
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