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End of training

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.1
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6571
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- - Accuracy: 0.1
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  ## Model description
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@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 2 | 1.6233 | 0.2 |
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- | No log | 2.0 | 4 | 1.6405 | 0.2 |
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- | No log | 3.0 | 6 | 1.6571 | 0.1 |
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.576
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4140
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+ - Accuracy: 0.576
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 125 | 1.1930 | 0.537 |
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+ | No log | 2.0 | 250 | 1.2516 | 0.555 |
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+ | No log | 3.0 | 375 | 1.4140 | 0.576 |
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  ### Framework versions
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  - Transformers 4.35.2
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+ - Pytorch 2.1.1
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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