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socmed-comment-roberta-base-indonesian-smsa

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

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Files changed (6) hide show
  1. README.md +9 -6
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Dec27_05-19-03_0f251f5bc806/events.out.tfevents.1703654343.0f251f5bc806.656.0 +3 -0
  5. runs/Dec27_05-19-03_0f251f5bc806/events.out.tfevents.1703661956.0f251f5bc806.656.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -1,10 +1,11 @@
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  ---
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- base_model: ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
 
 
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  model-index:
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  - name: socmed-comment-roberta-base-indonesian-smsa
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  results: []
@@ -15,11 +16,13 @@ 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 is a fine-tuned version of [ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7591
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- - Accuracy: 0.9103
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- - F1: 0.9100
 
 
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  ## Model description
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@@ -54,5 +57,5 @@ The following hyperparameters were used during training:
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  - Transformers 4.36.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: socmed-comment-roberta-base-indonesian-smsa
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  results: []
 
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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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  - Transformers 4.36.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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  - Tokenizers 0.15.0
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
 
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  {
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+ "_name_or_path": "databoks-irfan/socmed-comment-roberta-base-indonesian-smsa",
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
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