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my_awesome_model_priority_2

Text Classification
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distilbert
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End of training

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  1. README.md +18 -14
  2. model.safetensors +1 -1
  3. runs/Apr12_09-58-23_8ecaa97eec67/events.out.tfevents.1712915905.8ecaa97eec67.1493.13 +2 -2
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/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: 0.1180
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- - Accuracy: 0.9875
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  ## Model description
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@@ -43,23 +43,27 @@ 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: 11
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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 | 10 | 0.8421 | 0.625 |
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- | No log | 2.0 | 20 | 0.7016 | 0.75 |
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- | No log | 3.0 | 30 | 0.5544 | 0.85 |
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- | No log | 4.0 | 40 | 0.4178 | 0.8938 |
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- | No log | 5.0 | 50 | 0.3177 | 0.9187 |
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- | No log | 6.0 | 60 | 0.2455 | 0.9187 |
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- | No log | 7.0 | 70 | 0.2007 | 0.9313 |
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- | No log | 8.0 | 80 | 0.1603 | 0.9563 |
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- | No log | 9.0 | 90 | 0.1396 | 0.975 |
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- | No log | 10.0 | 100 | 0.1243 | 0.9875 |
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- | No log | 11.0 | 110 | 0.1180 | 0.9875 |
 
 
 
 
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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: 0.0492
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+ - Accuracy: 0.9938
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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: 15
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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 | 10 | 0.7954 | 0.625 |
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+ | No log | 2.0 | 20 | 0.6318 | 0.7812 |
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+ | No log | 3.0 | 30 | 0.4738 | 0.8625 |
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+ | No log | 4.0 | 40 | 0.3387 | 0.9062 |
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+ | No log | 5.0 | 50 | 0.2444 | 0.925 |
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+ | No log | 6.0 | 60 | 0.1899 | 0.9313 |
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+ | No log | 7.0 | 70 | 0.1490 | 0.9313 |
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+ | No log | 8.0 | 80 | 0.1216 | 0.9688 |
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+ | No log | 9.0 | 90 | 0.0995 | 0.9812 |
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+ | No log | 10.0 | 100 | 0.0832 | 0.9875 |
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+ | No log | 11.0 | 110 | 0.0669 | 0.9938 |
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+ | No log | 12.0 | 120 | 0.0598 | 0.9938 |
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+ | No log | 13.0 | 130 | 0.0530 | 0.9938 |
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+ | No log | 14.0 | 140 | 0.0502 | 0.9938 |
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+ | No log | 15.0 | 150 | 0.0492 | 0.9938 |
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  ### Framework versions
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