duynhatran commited on
Commit
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End of training

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: microsoft/deberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # deberta_textclassification
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- This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3919
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- - Accuracy: 0.9156
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  ## Model description
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@@ -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: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -49,11 +49,11 @@ 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 | 180 | 0.2849 | 0.8906 |
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- | No log | 2.0 | 360 | 0.4328 | 0.8375 |
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- | 0.3096 | 3.0 | 540 | 0.2765 | 0.9156 |
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- | 0.3096 | 4.0 | 720 | 0.3247 | 0.9125 |
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- | 0.3096 | 5.0 | 900 | 0.3919 | 0.9156 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: microsoft/deberta-v3-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # deberta_textclassification
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3350
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+ - Accuracy: 0.9062
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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: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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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+ | No log | 1.0 | 180 | 0.2740 | 0.8875 |
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+ | No log | 2.0 | 360 | 0.2828 | 0.8875 |
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+ | 0.3594 | 3.0 | 540 | 0.3322 | 0.8812 |
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+ | 0.3594 | 4.0 | 720 | 0.3220 | 0.9031 |
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+ | 0.3594 | 5.0 | 900 | 0.3350 | 0.9062 |
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  ### Framework versions
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