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SharonTudi
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DIALOGUE_second_model

Text Classification
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bert
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End of training

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  1. README.md +6 -10
  2. model.safetensors +1 -1
  3. runs/Jan11_11-37-40_6627229b378c/events.out.tfevents.1704973063.6627229b378c.527.8 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1933
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  - Accuracy: 0.9902
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  ## Model description
@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -49,14 +49,10 @@ 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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- | 1.3365 | 0.31 | 15 | 1.1620 | 0.6176 |
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- | 1.0619 | 0.62 | 30 | 0.7923 | 0.9510 |
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- | 0.7985 | 0.94 | 45 | 0.5744 | 0.9510 |
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- | 0.5719 | 1.25 | 60 | 0.4071 | 0.9608 |
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- | 0.4401 | 1.56 | 75 | 0.3167 | 0.9902 |
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- | 0.3713 | 1.88 | 90 | 0.2369 | 0.9902 |
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- | 0.2612 | 2.19 | 105 | 0.2044 | 0.9902 |
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- | 0.2558 | 2.5 | 120 | 0.1933 | 0.9902 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0459
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  - Accuracy: 0.9902
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1581 | 0.62 | 30 | 0.0683 | 0.9902 |
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+ | 0.0457 | 1.25 | 60 | 0.0517 | 0.9902 |
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+ | 0.0159 | 1.88 | 90 | 0.0518 | 0.9902 |
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+ | 0.0086 | 2.5 | 120 | 0.0459 | 0.9902 |
 
 
 
 
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  ### Framework versions
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