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final_model

Text Classification
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distilbert
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text-embeddings-inference
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End of training

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  1. README.md +10 -12
  2. model.safetensors +1 -1
README.md CHANGED
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  # final_model
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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: 0.6210
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- - Accuracy: 0.9301
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- - Precision: 0.9373
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- - Recall: 0.9219
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- - F1: 0.9295
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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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- | 0.0727 | 1.0 | 1563 | 0.4131 | 0.9246 | 0.9315 | 0.9167 | 0.9240 |
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- | 0.0423 | 2.0 | 3126 | 0.4253 | 0.9278 | 0.9230 | 0.9335 | 0.9282 |
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- | 0.0266 | 3.0 | 4689 | 0.4010 | 0.9282 | 0.9188 | 0.9394 | 0.9290 |
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- | 0.0141 | 4.0 | 6252 | 0.5954 | 0.9278 | 0.9126 | 0.9462 | 0.9291 |
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- | 0.0193 | 5.0 | 7815 | 0.5174 | 0.9287 | 0.9394 | 0.9166 | 0.9278 |
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- | 0.0091 | 6.0 | 9378 | 0.6210 | 0.9301 | 0.9373 | 0.9219 | 0.9295 |
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  ### Framework versions
 
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  # final_model
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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: 0.6844
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+ - Accuracy: 0.8312
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+ - Precision: 0.8805
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+ - Recall: 0.9256
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+ - F1: 0.9025
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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 | 0.4960 | 0.8463 | 0.8730 | 0.9573 | 0.9132 |
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+ | 0.268 | 2.0 | 694 | 0.5739 | 0.8413 | 0.8794 | 0.9410 | 0.9092 |
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+ | 0.2435 | 3.0 | 1041 | 0.6603 | 0.8333 | 0.8747 | 0.9368 | 0.9047 |
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+ | 0.2435 | 4.0 | 1388 | 0.6844 | 0.8312 | 0.8805 | 0.9256 | 0.9025 |
 
 
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  ### Framework versions
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