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databoks-irfan/socmed-comment-roberta-base-indonesian-smsa

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README.md CHANGED
@@ -1,4 +1,6 @@
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # socmed-comment-roberta-base-indonesian-smsa
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2767
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- - Accuracy: 0.9663
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- - F1: 0.9663
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- - Precision: 0.9663
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- - Recall: 0.9663
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  ## Model description
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@@ -47,7 +49,7 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 10
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  ### Training results
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  ---
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+ license: mit
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+ base_model: w11wo/indonesian-roberta-base-sentiment-classifier
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # socmed-comment-roberta-base-indonesian-smsa
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+ This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3133
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+ - Accuracy: 0.8930
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+ - F1: 0.8928
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+ - Precision: 0.8927
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+ - Recall: 0.8930
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  ## Model description
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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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+ - num_epochs: 2
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  ### Training results
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config.json CHANGED
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  {
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
@@ -12,16 +12,16 @@
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  "hidden_dropout_prob": 0.1,
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@@ -32,9 +32,8 @@
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  "position_embedding_type": "absolute",
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  }
 
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  "architectures": [
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  ],
 
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
 
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  "position_embedding_type": "absolute",
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  "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
 
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