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End of training

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  1. README.md +38 -2
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,9 +3,26 @@ license: mit
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  base_model: w11wo/indo-roberta-small
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: indo-roberta-small-finetuned-indonlu-smsa
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # indo-roberta-small-finetuned-indonlu-smsa
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- This model is a fine-tuned version of [w11wo/indo-roberta-small](https://huggingface.co/w11wo/indo-roberta-small) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -41,6 +61,22 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 10
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  ### Framework versions
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  - Transformers 4.38.2
 
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  base_model: w11wo/indo-roberta-small
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - indonlu
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: indo-roberta-small-finetuned-indonlu-smsa
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: indonlu
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+ type: indonlu
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+ config: smsa
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+ split: validation
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+ args: smsa
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.888095238095238
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # indo-roberta-small-finetuned-indonlu-smsa
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+ This model is a fine-tuned version of [w11wo/indo-roberta-small](https://huggingface.co/w11wo/indo-roberta-small) on the indonlu dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4497
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+ - Accuracy: 0.8881
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  ## Model description
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 10
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 172 | 0.6502 | 0.7143 |
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+ | No log | 2.0 | 344 | 0.4720 | 0.8127 |
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+ | 0.6168 | 3.0 | 516 | 0.4511 | 0.8357 |
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+ | 0.6168 | 4.0 | 688 | 0.3825 | 0.8540 |
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+ | 0.6168 | 5.0 | 860 | 0.3655 | 0.8595 |
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+ | 0.2954 | 6.0 | 1032 | 0.3672 | 0.8683 |
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+ | 0.2954 | 7.0 | 1204 | 0.3839 | 0.8746 |
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+ | 0.2954 | 8.0 | 1376 | 0.4220 | 0.8706 |
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+ | 0.1328 | 9.0 | 1548 | 0.4497 | 0.8881 |
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+ | 0.1328 | 10.0 | 1720 | 0.4455 | 0.8865 |
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+
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+
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  ### Framework versions
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  - Transformers 4.38.2
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