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Dhanang
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aspect_model

Text Classification
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bert
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End of training

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  1. README.md +23 -13
  2. model.safetensors +1 -1
  3. runs/Dec19_10-31-43_783d6a5936be/events.out.tfevents.1702981904.783d6a5936be.787.0 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9923
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- - Accuracy: 0.8118
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  ## Model description
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@@ -43,22 +43,32 @@ 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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 72 | 0.6854 | 0.7561 |
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- | No log | 2.0 | 144 | 0.6433 | 0.7631 |
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- | No log | 3.0 | 216 | 0.6147 | 0.8153 |
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- | No log | 4.0 | 288 | 0.7428 | 0.8153 |
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- | No log | 5.0 | 360 | 0.9310 | 0.8118 |
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- | No log | 6.0 | 432 | 0.8987 | 0.8153 |
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- | 0.2722 | 7.0 | 504 | 0.9777 | 0.8118 |
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- | 0.2722 | 8.0 | 576 | 0.9984 | 0.8223 |
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- | 0.2722 | 9.0 | 648 | 1.0060 | 0.8084 |
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- | 0.2722 | 10.0 | 720 | 0.9923 | 0.8118 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3490
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+ - Accuracy: 0.8084
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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: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 72 | 0.6516 | 0.7735 |
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+ | No log | 2.0 | 144 | 0.6119 | 0.7909 |
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+ | No log | 3.0 | 216 | 0.6152 | 0.8049 |
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+ | No log | 4.0 | 288 | 0.7480 | 0.8118 |
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+ | No log | 5.0 | 360 | 1.0121 | 0.7770 |
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+ | No log | 6.0 | 432 | 1.0780 | 0.7909 |
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+ | 0.27 | 7.0 | 504 | 1.1602 | 0.7840 |
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+ | 0.27 | 8.0 | 576 | 1.2136 | 0.8014 |
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+ | 0.27 | 9.0 | 648 | 1.2490 | 0.8014 |
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+ | 0.27 | 10.0 | 720 | 1.3102 | 0.7840 |
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+ | 0.27 | 11.0 | 792 | 1.3184 | 0.8049 |
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+ | 0.27 | 12.0 | 864 | 1.3255 | 0.8014 |
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+ | 0.27 | 13.0 | 936 | 1.3192 | 0.8049 |
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+ | 0.0022 | 14.0 | 1008 | 1.3229 | 0.7944 |
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+ | 0.0022 | 15.0 | 1080 | 1.3415 | 0.8014 |
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+ | 0.0022 | 16.0 | 1152 | 1.3515 | 0.7909 |
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+ | 0.0022 | 17.0 | 1224 | 1.3544 | 0.7944 |
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+ | 0.0022 | 18.0 | 1296 | 1.3529 | 0.7944 |
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+ | 0.0022 | 19.0 | 1368 | 1.3484 | 0.8084 |
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+ | 0.0022 | 20.0 | 1440 | 1.3490 | 0.8084 |
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  ### Framework versions
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