bwahyuh commited on
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Training complete

Browse files
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README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: FacebookAI/roberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # digidaw
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- This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3618
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- - Accuracy: 0.5941
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- - Precision: 0.0743
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- - Recall: 0.125
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- - F1: 0.0932
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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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- | 1.3939 | 1.0 | 110 | 1.3742 | 0.5941 | 0.0743 | 0.125 | 0.0932 |
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- | 1.3769 | 2.0 | 220 | 1.3634 | 0.5941 | 0.0743 | 0.125 | 0.0932 |
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- | 1.3696 | 3.0 | 330 | 1.3618 | 0.5941 | 0.0743 | 0.125 | 0.0932 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: intfloat/multilingual-e5-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # digidaw
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+ This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7597
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+ - Accuracy: 0.7770
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+ - Precision: 0.5252
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+ - Recall: 0.5221
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+ - F1: 0.5217
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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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+ | 1.0326 | 1.0 | 110 | 0.7906 | 0.7557 | 0.5710 | 0.4468 | 0.4696 |
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+ | 0.6609 | 2.0 | 220 | 0.7697 | 0.7597 | 0.5234 | 0.4885 | 0.4999 |
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+ | 0.4276 | 3.0 | 330 | 0.7597 | 0.7770 | 0.5252 | 0.5221 | 0.5217 |
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  ### Framework versions
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