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Bmalmotairy
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marbert-finetuned-wanlp_sarcasm

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
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1 Parent(s): 640fd5d

trained model on the new 8-iterations clean data

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  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6583
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- - Accuracy: 0.9454
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- - Precision: 0.7368
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- - Recall: 0.7698
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- - F1: 0.7529
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.2378 | 1.0 | 253 | 0.2678 | 0.9301 | 0.6284 | 0.8660 | 0.7283 |
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- | 0.1209 | 2.0 | 506 | 0.8244 | 0.9431 | 0.8485 | 0.5773 | 0.6871 |
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- | 0.0479 | 3.0 | 759 | 0.6583 | 0.9454 | 0.7368 | 0.7698 | 0.7529 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6362
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+ - Accuracy: 0.9485
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+ - Precision: 0.7758
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+ - Recall: 0.7814
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+ - F1: 0.7786
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.2904 | 1.0 | 226 | 0.4947 | 0.9402 | 0.8199 | 0.6201 | 0.7061 |
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+ | 0.2199 | 2.0 | 452 | 0.4060 | 0.9406 | 0.7345 | 0.7634 | 0.7487 |
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+ | 0.0545 | 3.0 | 678 | 0.6362 | 0.9485 | 0.7758 | 0.7814 | 0.7786 |
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  ### Framework versions
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