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scenario-normal-finetune-clf-data-indolem_sentiment-model-indolem-indobert-base-uncased

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bert
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  1. README.md +22 -22
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.899749373433584
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  - name: F1
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  type: f1
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- value: 0.8181818181818181
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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
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indolem_sentiment dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7320
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- - Accuracy: 0.8997
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- - F1: 0.8182
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  ## Model description
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@@ -69,23 +69,23 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 0.44 | 200 | 0.5218 | 0.7343 | 0.2838 |
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- | No log | 0.88 | 400 | 0.4318 | 0.8070 | 0.7138 |
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- | 0.4843 | 1.32 | 600 | 0.4092 | 0.8521 | 0.7281 |
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- | 0.4843 | 1.76 | 800 | 0.3515 | 0.8772 | 0.7803 |
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- | 0.2912 | 2.2 | 1000 | 0.4582 | 0.8697 | 0.7833 |
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- | 0.2912 | 2.64 | 1200 | 0.5148 | 0.8747 | 0.7881 |
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- | 0.2912 | 3.08 | 1400 | 0.5736 | 0.8672 | 0.7837 |
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- | 0.2526 | 3.52 | 1600 | 0.5119 | 0.8797 | 0.7983 |
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- | 0.2526 | 3.96 | 1800 | 0.5242 | 0.8997 | 0.8095 |
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- | 0.1974 | 4.4 | 2000 | 0.5311 | 0.8997 | 0.8182 |
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- | 0.1974 | 4.84 | 2200 | 0.6478 | 0.8797 | 0.7983 |
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- | 0.1974 | 5.27 | 2400 | 0.6219 | 0.8822 | 0.8000 |
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- | 0.1526 | 5.71 | 2600 | 0.6591 | 0.8872 | 0.8178 |
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- | 0.1526 | 6.15 | 2800 | 0.6483 | 0.8947 | 0.8056 |
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- | 0.1159 | 6.59 | 3000 | 0.7075 | 0.8847 | 0.8099 |
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- | 0.1159 | 7.03 | 3200 | 0.7157 | 0.8872 | 0.8 |
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- | 0.1159 | 7.47 | 3400 | 0.7320 | 0.8997 | 0.8182 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8922305764411027
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  - name: F1
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  type: f1
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+ value: 0.8154506437768241
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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 [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the indolem_sentiment dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7311
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+ - Accuracy: 0.8922
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+ - F1: 0.8155
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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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+ | No log | 0.44 | 200 | 0.5133 | 0.7544 | 0.3718 |
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+ | No log | 0.88 | 400 | 0.4239 | 0.7995 | 0.6875 |
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+ | 0.4818 | 1.32 | 600 | 0.3889 | 0.8647 | 0.7523 |
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+ | 0.4818 | 1.76 | 800 | 0.3263 | 0.8872 | 0.8069 |
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+ | 0.291 | 2.2 | 1000 | 0.3933 | 0.8847 | 0.8067 |
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+ | 0.291 | 2.64 | 1200 | 0.4703 | 0.8847 | 0.7982 |
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+ | 0.291 | 3.08 | 1400 | 0.5284 | 0.8622 | 0.7843 |
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+ | 0.2432 | 3.52 | 1600 | 0.4924 | 0.8897 | 0.8136 |
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+ | 0.2432 | 3.96 | 1800 | 0.4952 | 0.9023 | 0.8219 |
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+ | 0.1982 | 4.4 | 2000 | 0.5157 | 0.9098 | 0.8421 |
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+ | 0.1982 | 4.84 | 2200 | 0.6454 | 0.8847 | 0.8099 |
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+ | 0.1982 | 5.27 | 2400 | 0.5636 | 0.9048 | 0.8348 |
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+ | 0.1441 | 5.71 | 2600 | 0.6147 | 0.8872 | 0.8193 |
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+ | 0.1441 | 6.15 | 2800 | 0.6280 | 0.8997 | 0.8198 |
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+ | 0.1147 | 6.59 | 3000 | 0.6505 | 0.8947 | 0.8205 |
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+ | 0.1147 | 7.03 | 3200 | 0.6547 | 0.8972 | 0.8285 |
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+ | 0.1147 | 7.47 | 3400 | 0.7311 | 0.8922 | 0.8155 |
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  ### Framework versions
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