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README.md CHANGED
@@ -38,7 +38,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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- - seed: 42
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 0.9412 | 12 | 0.3494 | 0.9559 | 0.9555 | 0.9564 | 0.9559 |
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  ### Framework versions
 
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  - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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+ - seed: 123
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 0.9412 | 12 | 0.3379 | 0.9559 | 0.9555 | 0.9564 | 0.9559 |
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  ### Framework versions
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  "eval_accuracy": 0.9558823529411765,
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  "eval_f1": 0.9555272696227192,
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