Venkatesh4342 commited on
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End of training

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README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.4803
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- - Accuracy: 0.8413
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- - F1: 0.8373
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  ## Model description
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@@ -40,8 +40,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 6
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- - eval_batch_size: 6
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 106 | 1.0849 | 0.7460 | 0.6691 |
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- | No log | 2.0 | 212 | 0.6155 | 0.8095 | 0.7969 |
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- | No log | 3.0 | 318 | 0.4825 | 0.8254 | 0.8142 |
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- | No log | 4.0 | 424 | 0.4561 | 0.8413 | 0.8373 |
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- | 0.6026 | 5.0 | 530 | 0.5063 | 0.8413 | 0.8373 |
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- | 0.6026 | 6.0 | 636 | 0.4803 | 0.8413 | 0.8373 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1907
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+ - Accuracy: 0.9524
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+ - F1: 0.9514
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 159 | 0.9372 | 0.7302 | 0.6664 |
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+ | No log | 2.0 | 318 | 0.3961 | 0.9048 | 0.9011 |
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+ | No log | 3.0 | 477 | 0.1855 | 0.9365 | 0.9354 |
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+ | 0.7784 | 4.0 | 636 | 0.1987 | 0.9365 | 0.9354 |
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+ | 0.7784 | 5.0 | 795 | 0.1881 | 0.9524 | 0.9514 |
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+ | 0.7784 | 6.0 | 954 | 0.1907 | 0.9524 | 0.9514 |
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  ### Framework versions
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