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distilbert-base-uncased-clickbait-task1-20-epoch-post_title

Safetensors
distilbert
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  1. README.md +22 -22
  2. model.safetensors +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 [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: 2.4236
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- - Accuracy: 0.67
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  ## Model description
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@@ -49,26 +49,26 @@ 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 | 1.0 | 200 | 0.8500 | 0.6425 |
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- | No log | 2.0 | 400 | 0.7542 | 0.6975 |
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- | 0.7863 | 3.0 | 600 | 0.8059 | 0.695 |
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- | 0.7863 | 4.0 | 800 | 0.9656 | 0.6875 |
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- | 0.3245 | 5.0 | 1000 | 1.1785 | 0.655 |
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- | 0.3245 | 6.0 | 1200 | 1.4214 | 0.675 |
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- | 0.3245 | 7.0 | 1400 | 1.7879 | 0.655 |
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- | 0.0784 | 8.0 | 1600 | 1.9526 | 0.66 |
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- | 0.0784 | 9.0 | 1800 | 2.0289 | 0.6575 |
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- | 0.0233 | 10.0 | 2000 | 2.1091 | 0.675 |
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- | 0.0233 | 11.0 | 2200 | 2.1530 | 0.67 |
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- | 0.0233 | 12.0 | 2400 | 2.2120 | 0.67 |
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- | 0.0091 | 13.0 | 2600 | 2.2703 | 0.6875 |
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- | 0.0091 | 14.0 | 2800 | 2.3026 | 0.68 |
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- | 0.0064 | 15.0 | 3000 | 2.3154 | 0.685 |
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- | 0.0064 | 16.0 | 3200 | 2.3335 | 0.6825 |
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- | 0.0064 | 17.0 | 3400 | 2.3667 | 0.6825 |
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- | 0.0036 | 18.0 | 3600 | 2.3959 | 0.6775 |
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- | 0.0036 | 19.0 | 3800 | 2.4513 | 0.6625 |
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- | 0.0043 | 20.0 | 4000 | 2.4236 | 0.67 |
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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: 2.2043
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+ - Accuracy: 0.705
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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 | 1.0 | 200 | 0.7890 | 0.6825 |
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+ | No log | 2.0 | 400 | 0.7432 | 0.685 |
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+ | 0.7625 | 3.0 | 600 | 0.7796 | 0.72 |
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+ | 0.7625 | 4.0 | 800 | 0.9322 | 0.6975 |
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+ | 0.3123 | 5.0 | 1000 | 1.0876 | 0.7025 |
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+ | 0.3123 | 6.0 | 1200 | 1.4319 | 0.6875 |
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+ | 0.3123 | 7.0 | 1400 | 1.6751 | 0.6725 |
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+ | 0.073 | 8.0 | 1600 | 1.7350 | 0.7075 |
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+ | 0.073 | 9.0 | 1800 | 1.8997 | 0.6875 |
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+ | 0.023 | 10.0 | 2000 | 2.0127 | 0.695 |
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+ | 0.023 | 11.0 | 2200 | 2.0654 | 0.6775 |
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+ | 0.023 | 12.0 | 2400 | 2.1128 | 0.6975 |
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+ | 0.009 | 13.0 | 2600 | 2.1777 | 0.695 |
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+ | 0.009 | 14.0 | 2800 | 2.1756 | 0.7125 |
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+ | 0.0067 | 15.0 | 3000 | 2.1566 | 0.71 |
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+ | 0.0067 | 16.0 | 3200 | 2.2452 | 0.695 |
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+ | 0.0067 | 17.0 | 3400 | 2.2008 | 0.7 |
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+ | 0.0032 | 18.0 | 3600 | 2.2214 | 0.7125 |
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+ | 0.0032 | 19.0 | 3800 | 2.2151 | 0.7125 |
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+ | 0.0041 | 20.0 | 4000 | 2.2043 | 0.705 |
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  ### Framework versions
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