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sabianwaw
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finetuning-bert-text-classification

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files
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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.2896
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- - Accuracy: 0.9129
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- - F1: 0.9130
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 219 | 0.2791 | 0.91 | 0.9097 |
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- | No log | 2.0 | 438 | 0.2849 | 0.9071 | 0.9072 |
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- | 0.2925 | 3.0 | 657 | 0.2896 | 0.9129 | 0.9130 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.2838
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+ - Accuracy: 0.9114
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+ - F1: 0.9114
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.2817 | 1.0 | 219 | 0.3042 | 0.9 | 0.8994 |
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+ | 0.2264 | 2.0 | 438 | 0.2745 | 0.9186 | 0.9183 |
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+ | 0.1237 | 3.0 | 657 | 0.2838 | 0.9114 | 0.9114 |
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  ### Framework versions
model.safetensors CHANGED
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