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End of training

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  1. README.md +11 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -7,19 +7,19 @@ tags:
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  metrics:
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  - accuracy
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  model-index:
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- - name: distilbert-base-uncased-nvidia-aegis-v2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # distilbert-base-uncased-nvidia-aegis-v2
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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: 0.3496
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- - Accuracy: 0.8432
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  ## Model description
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@@ -51,12 +51,13 @@ The following hyperparameters were used during training:
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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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- | 0.7632 | 1.0 | 1203 | 0.3496 | 0.8430 |
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- | 0.5656 | 2.0 | 2406 | 0.3623 | 0.8576 |
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- | 0.5307 | 3.0 | 3609 | 0.4352 | 0.8642 |
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- | 0.1923 | 4.0 | 4812 | 0.5594 | 0.8630 |
 
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: distilbert-base-uncased-nvidia-aegis-v2-augmented
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # distilbert-base-uncased-nvidia-aegis-v2-augmented
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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: 0.2818
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+ - Accuracy: 0.8756
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  ## Model description
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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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+ | 0.8393 | 1.0 | 8402 | 0.3430 | 0.8395 |
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+ | 0.4610 | 2.0 | 16804 | 0.2815 | 0.8758 |
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+ | 0.2319 | 3.0 | 25206 | 0.3292 | 0.8862 |
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+ | 0.3144 | 4.0 | 33608 | 0.3165 | 0.8944 |
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+ | 0.1178 | 5.0 | 42010 | 0.3211 | 0.9026 |
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  ### Framework versions
model.safetensors CHANGED
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