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End of training

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README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_model
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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: 0.2346
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- - Accuracy: 0.9320
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  ## Model description
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@@ -43,14 +43,18 @@ 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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2263 | 1.0 | 1563 | 0.1961 | 0.9253 |
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- | 0.1467 | 2.0 | 3126 | 0.2346 | 0.9320 |
 
 
 
 
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  ### Framework versions
 
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  # my_awesome_model
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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: 1.3606
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+ - Accuracy: 0.5478
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 259 | 1.0397 | 0.5565 |
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+ | 0.8822 | 2.0 | 518 | 1.0877 | 0.5556 |
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+ | 0.8822 | 3.0 | 777 | 1.1596 | 0.5391 |
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+ | 0.6634 | 4.0 | 1036 | 1.2573 | 0.5594 |
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+ | 0.6634 | 5.0 | 1295 | 1.3176 | 0.5488 |
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+ | 0.4813 | 6.0 | 1554 | 1.3606 | 0.5478 |
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  ### Framework versions
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