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End of training

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  1. README.md +9 -6
  2. model.safetensors +1 -1
  3. runs/Aug06_07-38-51_cd88a1828bd9/events.out.tfevents.1722929949.cd88a1828bd9.791.1 +2 -2
  4. runs/Aug06_07-38-51_cd88a1828bd9/events.out.tfevents.1722930135.cd88a1828bd9.791.2 +3 -0
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-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: 0.4173
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- - Accuracy: 0.823
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- - F1: 0.8746
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  ## Model description
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@@ -45,14 +45,17 @@ 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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 63 | 0.4758 | 0.804 | 0.8665 |
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- | No log | 2.0 | 126 | 0.4173 | 0.823 | 0.8746 |
 
 
 
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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: 0.1068
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+ - Accuracy: 0.971
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+ - F1: 0.9787
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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 | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 63 | 0.3497 | 0.869 | 0.9042 |
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+ | No log | 2.0 | 126 | 0.2406 | 0.918 | 0.9418 |
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+ | No log | 3.0 | 189 | 0.1529 | 0.954 | 0.9665 |
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+ | No log | 4.0 | 252 | 0.1176 | 0.966 | 0.9751 |
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+ | No log | 5.0 | 315 | 0.1068 | 0.971 | 0.9787 |
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  ### Framework versions
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