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End of training

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.7377
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- - Accuracy: 0.8571
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- - F1: 0.8567
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  ## Model description
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@@ -40,8 +40,8 @@ More information needed
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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: 2
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- - eval_batch_size: 2
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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
@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 318 | 0.7008 | 0.7778 | 0.7526 |
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- | 0.9267 | 2.0 | 636 | 0.5101 | 0.8571 | 0.8547 |
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- | 0.9267 | 3.0 | 954 | 0.6938 | 0.8730 | 0.8734 |
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- | 0.1034 | 4.0 | 1272 | 0.6638 | 0.8730 | 0.8734 |
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- | 0.0289 | 5.0 | 1590 | 0.7391 | 0.8571 | 0.8567 |
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- | 0.0289 | 6.0 | 1908 | 0.7377 | 0.8571 | 0.8567 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.4991
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+ - Accuracy: 0.8254
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+ - F1: 0.8205
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  ## Model description
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 80 | 1.2538 | 0.7302 | 0.6563 |
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+ | No log | 2.0 | 160 | 0.7638 | 0.8095 | 0.7915 |
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+ | No log | 3.0 | 240 | 0.5759 | 0.7937 | 0.7786 |
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+ | No log | 4.0 | 320 | 0.4931 | 0.8254 | 0.8219 |
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+ | No log | 5.0 | 400 | 0.5075 | 0.8254 | 0.8205 |
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+ | No log | 6.0 | 480 | 0.4991 | 0.8254 | 0.8205 |
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  ### Framework versions
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