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distilgpt2-finetuned-github_cybersecurity_READMEs

Text Generation
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text-generation-inference
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End of training

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Apr14_15-05-44_DESKTOP-7EBBP1S/events.out.tfevents.1713078345.DESKTOP-7EBBP1S.1146.0 +3 -0
  4. runs/Apr14_15-05-44_DESKTOP-7EBBP1S/events.out.tfevents.1713078483.DESKTOP-7EBBP1S.1146.1 +3 -0
  5. training_args.bin +1 -1
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 [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4529
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- - Accuracy: 0.0699
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  ## Model description
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@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.97 | 14 | 5.6664 | 0.0648 |
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- | No log | 2.0 | 29 | 5.6299 | 0.0653 |
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- | No log | 2.97 | 43 | 5.5792 | 0.0660 |
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- | No log | 4.0 | 58 | 5.5133 | 0.0664 |
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- | No log | 4.83 | 70 | 5.4529 | 0.0699 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4183
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+ - Accuracy: 0.0638
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.97 | 14 | 5.5937 | 0.0605 |
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+ | No log | 2.0 | 29 | 5.5611 | 0.0612 |
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+ | No log | 2.97 | 43 | 5.5172 | 0.0618 |
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+ | No log | 4.0 | 58 | 5.4642 | 0.0631 |
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+ | No log | 4.83 | 70 | 5.4183 | 0.0638 |
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  ### Framework versions
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