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final_model

Text Classification
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Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +8 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3626
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- - Accuracy: 0.9062
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- - Precision: 0.9258
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- - Recall: 0.9668
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- - F1: 0.9458
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 347 | 0.3016 | 0.9156 | 0.9245 | 0.9804 | 0.9516 |
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- | 0.227 | 2.0 | 694 | 0.2573 | 0.9214 | 0.9326 | 0.9779 | 0.9547 |
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- | 0.2492 | 3.0 | 1041 | 0.3193 | 0.9069 | 0.9351 | 0.9566 | 0.9457 |
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- | 0.2492 | 4.0 | 1388 | 0.3459 | 0.8975 | 0.9322 | 0.9480 | 0.9400 |
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- | 0.2008 | 5.0 | 1735 | 0.3626 | 0.9062 | 0.9258 | 0.9668 | 0.9458 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2616
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+ - Accuracy: 0.9177
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+ - Precision: 0.9289
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+ - Recall: 0.9768
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+ - F1: 0.9522
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 347 | 0.2485 | 0.9228 | 0.9224 | 0.9914 | 0.9557 |
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+ | 0.2813 | 2.0 | 694 | 0.2604 | 0.9105 | 0.9193 | 0.9794 | 0.9484 |
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+ | 0.2599 | 3.0 | 1041 | 0.2616 | 0.9177 | 0.9289 | 0.9768 | 0.9522 |
 
 
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  ### Framework versions
model.safetensors CHANGED
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