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arthd24
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indobert_artha

Text Classification
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End of training

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  1. README.md +36 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ 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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8270
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- - Balanced accuracy: 0.3732
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 50
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- - eval_batch_size: 50
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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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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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- | No log | 1.0 | 59 | 1.1422 | 0.1832 |
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- | No log | 2.0 | 118 | 0.8644 | 0.3312 |
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- | No log | 3.0 | 177 | 0.8270 | 0.3732 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6470
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+ - Balanced accuracy: 0.4809
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 30
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | 1.4443 | 1.0 | 92 | 1.2032 | 0.125 |
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+ | 1.112 | 2.0 | 184 | 0.9012 | 0.3006 |
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+ | 0.8258 | 3.0 | 276 | 0.8611 | 0.4565 |
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+ | 0.6286 | 4.0 | 368 | 0.7711 | 0.4397 |
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+ | 0.4205 | 5.0 | 460 | 0.8665 | 0.4900 |
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+ | 0.3025 | 6.0 | 552 | 0.9085 | 0.4572 |
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+ | 0.1904 | 7.0 | 644 | 1.1407 | 0.4584 |
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+ | 0.1387 | 8.0 | 736 | 1.2191 | 0.4682 |
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+ | 0.1294 | 9.0 | 828 | 1.3164 | 0.4470 |
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+ | 0.097 | 10.0 | 920 | 1.4438 | 0.4245 |
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+ | 0.0843 | 11.0 | 1012 | 1.3584 | 0.4603 |
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+ | 0.0829 | 12.0 | 1104 | 1.3619 | 0.4442 |
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+ | 0.0667 | 13.0 | 1196 | 1.4805 | 0.4536 |
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+ | 0.0596 | 14.0 | 1288 | 1.6224 | 0.4917 |
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+ | 0.0538 | 15.0 | 1380 | 1.6581 | 0.4253 |
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+ | 0.0488 | 16.0 | 1472 | 1.6128 | 0.4982 |
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+ | 0.0442 | 17.0 | 1564 | 1.8136 | 0.4951 |
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+ | 0.0426 | 18.0 | 1656 | 1.6496 | 0.4859 |
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+ | 0.0384 | 19.0 | 1748 | 1.6517 | 0.4702 |
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+ | 0.0311 | 20.0 | 1840 | 1.6183 | 0.4901 |
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+ | 0.0288 | 21.0 | 1932 | 1.7072 | 0.4647 |
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+ | 0.0283 | 22.0 | 2024 | 1.6827 | 0.4653 |
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+ | 0.0244 | 23.0 | 2116 | 1.6211 | 0.4777 |
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+ | 0.0264 | 24.0 | 2208 | 1.6428 | 0.4719 |
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+ | 0.0202 | 25.0 | 2300 | 1.6462 | 0.4907 |
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+ | 0.0198 | 26.0 | 2392 | 1.6719 | 0.4841 |
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+ | 0.024 | 27.0 | 2484 | 1.6376 | 0.4957 |
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+ | 0.0205 | 28.0 | 2576 | 1.6477 | 0.4775 |
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+ | 0.0162 | 29.0 | 2668 | 1.6459 | 0.4909 |
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+ | 0.0165 | 30.0 | 2760 | 1.6470 | 0.4809 |
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  ### Framework versions
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  - Transformers 4.41.2
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+ - Pytorch 2.1.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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