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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_keras_callback
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model-index:
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# reem442/Bert
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0990
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- Train Accuracy: 0.947
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- Validation Loss: 0.1458
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- Validation Accuracy: 0.9470
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- Epoch: 2
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## Model description
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy |
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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| 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
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---
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license: apache-2.0
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base_model: google-bert/bert-base-uncased
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tags:
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- generated_from_keras_callback
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model-index:
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# reem442/Bert
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0990
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- Train Accuracy: 0.947
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- Validation Loss: 0.1458
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- Validation Accuracy: 0.9470
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- Validation Precision: 0.9490
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- Validation Recall: 0.947
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- Validation F1: 0.9466
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- Epoch: 2
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## Model description
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Validation Precision | Validation Recall | Validation F1 | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:---------------:|:------------:|:--------:|:-----:|
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| 0.1750 | 0.943 | 0.1579 | 0.9430 | 0.9447 | 0.943 | 0.9426 | 0 |
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| 0.1194 | 0.9415 | 0.1589 | 0.9415 | 0.9434 | 0.9415 | 0.9409 | 1 |
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