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rngrye
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my-document-classifier

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +11 -11
  2. best_model/model.safetensors +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0344
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  - Accuracy: 0.9910
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  - F1: 0.9910
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5314 | 1.0 | 112 | 0.0871 | 0.9731 | 0.9730 |
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- | 0.0765 | 2.0 | 224 | 0.0767 | 0.9865 | 0.9865 |
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- | 0.0482 | 3.0 | 336 | 0.0823 | 0.9865 | 0.9864 |
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- | 0.0188 | 4.0 | 448 | 0.1178 | 0.9821 | 0.9821 |
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- | 0.0097 | 5.0 | 560 | 0.1118 | 0.9821 | 0.9821 |
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- | 0.0061 | 6.0 | 672 | 0.1039 | 0.9821 | 0.9821 |
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- | 0.0023 | 7.0 | 784 | 0.1038 | 0.9865 | 0.9865 |
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- | 0.0024 | 8.0 | 896 | 0.1058 | 0.9865 | 0.9865 |
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- | 0.0011 | 9.0 | 1008 | 0.1011 | 0.9865 | 0.9865 |
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- | 0.001 | 10.0 | 1120 | 0.1017 | 0.9865 | 0.9865 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0313
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  - Accuracy: 0.9910
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  - F1: 0.9910
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5447 | 1.0 | 112 | 0.0777 | 0.9821 | 0.9819 |
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+ | 0.0752 | 2.0 | 224 | 0.0958 | 0.9731 | 0.9730 |
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+ | 0.038 | 3.0 | 336 | 0.0711 | 0.9865 | 0.9865 |
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+ | 0.0191 | 4.0 | 448 | 0.0795 | 0.9865 | 0.9865 |
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+ | 0.0066 | 5.0 | 560 | 0.0900 | 0.9865 | 0.9865 |
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+ | 0.0063 | 6.0 | 672 | 0.0945 | 0.9865 | 0.9865 |
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+ | 0.0014 | 7.0 | 784 | 0.1040 | 0.9865 | 0.9865 |
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+ | 0.0011 | 8.0 | 896 | 0.1023 | 0.9865 | 0.9865 |
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+ | 0.001 | 9.0 | 1008 | 0.1027 | 0.9865 | 0.9865 |
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+ | 0.0009 | 10.0 | 1120 | 0.1026 | 0.9865 | 0.9865 |
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  ### Framework versions
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