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distilled-optimized-indobert-classification

Text Classification Transformers PyTorch
distilbert generated_from_trainer Eval Results Inference Endpoints
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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8944444444444445
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  - name: F1
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  type: f1
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- value: 0.89395273315396
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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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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7098
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- - Accuracy: 0.8944
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- - F1: 0.8940
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.5386 | 1.0 | 688 | 1.0026 | 0.8325 | 0.8332 |
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- | 0.8165 | 2.0 | 1376 | 0.7364 | 0.8786 | 0.8782 |
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- | 0.4755 | 3.0 | 2064 | 0.8695 | 0.8794 | 0.8767 |
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- | 0.3011 | 4.0 | 2752 | 0.8100 | 0.8921 | 0.8899 |
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- | 0.1963 | 5.0 | 3440 | 0.8074 | 0.8960 | 0.8954 |
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- | 0.1312 | 6.0 | 4128 | 0.8235 | 0.8897 | 0.8906 |
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- | 0.0974 | 7.0 | 4816 | 0.7395 | 0.9063 | 0.9067 |
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- | 0.0716 | 8.0 | 5504 | 0.7185 | 0.8960 | 0.8953 |
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- | 0.0512 | 9.0 | 6192 | 0.7098 | 0.8944 | 0.8940 |
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  ### Framework versions
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  ---
 
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9
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  - name: F1
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  type: f1
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+ value: 0.8994069293432798
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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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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7397
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+ - Accuracy: 0.9
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+ - F1: 0.8994
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.128 | 1.0 | 688 | 0.8535 | 0.8913 | 0.8917 |
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+ | 0.1475 | 2.0 | 1376 | 0.9171 | 0.8913 | 0.8913 |
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+ | 0.0997 | 3.0 | 2064 | 0.7799 | 0.8960 | 0.8951 |
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+ | 0.0791 | 4.0 | 2752 | 0.7179 | 0.9032 | 0.9023 |
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+ | 0.0577 | 5.0 | 3440 | 0.6908 | 0.9063 | 0.9055 |
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+ | 0.0406 | 6.0 | 4128 | 0.7613 | 0.8992 | 0.8986 |
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+ | 0.0275 | 7.0 | 4816 | 0.7502 | 0.8992 | 0.8989 |
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+ | 0.023 | 8.0 | 5504 | 0.7408 | 0.8976 | 0.8969 |
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+ | 0.0169 | 9.0 | 6192 | 0.7397 | 0.9 | 0.8994 |
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  ### Framework versions