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ZidanAf
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Zidan_model_output_v4

Text Classification
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Safetensors
bert
Generated from Trainer
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End of training

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  1. README.md +19 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: mit
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- base_model: indobenchmark/indobert-base-p1
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Zidan_model_output_v4
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- This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7156
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- - Accuracy: 0.7078
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  ## Model description
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@@ -37,33 +37,30 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-06
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  - train_batch_size: 4
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- - eval_batch_size: 8
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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: 15
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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 | 220 | 0.9842 | 0.5909 |
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- | No log | 2.0 | 440 | 0.8935 | 0.5714 |
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- | 0.9631 | 3.0 | 660 | 0.8081 | 0.6169 |
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- | 0.9631 | 4.0 | 880 | 0.7819 | 0.6299 |
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- | 0.7467 | 5.0 | 1100 | 0.7760 | 0.6299 |
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- | 0.7467 | 6.0 | 1320 | 0.7601 | 0.6558 |
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- | 0.6817 | 7.0 | 1540 | 0.7578 | 0.6494 |
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- | 0.6817 | 8.0 | 1760 | 0.7359 | 0.6753 |
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- | 0.6817 | 9.0 | 1980 | 0.7643 | 0.6494 |
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- | 0.621 | 10.0 | 2200 | 0.7156 | 0.7078 |
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- | 0.621 | 11.0 | 2420 | 0.7310 | 0.6948 |
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- | 0.576 | 12.0 | 2640 | 0.7199 | 0.7078 |
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- | 0.576 | 13.0 | 2860 | 0.7199 | 0.7143 |
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- | 0.5598 | 14.0 | 3080 | 0.7313 | 0.7013 |
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- | 0.5598 | 15.0 | 3300 | 0.7253 | 0.7013 |
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  ### Framework versions
 
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  ---
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  license: mit
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+ base_model: indolem/indobert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # Zidan_model_output_v4
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+ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0719
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+ - Accuracy: 0.8
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  ## Model description
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  ### Training hyperparameters
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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: 4
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+ - eval_batch_size: 4
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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: 12
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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 | 248 | 1.1528 | 0.6727 |
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+ | No log | 2.0 | 496 | 0.8453 | 0.7273 |
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+ | 0.9554 | 3.0 | 744 | 0.7237 | 0.7818 |
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+ | 0.9554 | 4.0 | 992 | 0.8682 | 0.8 |
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+ | 0.6805 | 5.0 | 1240 | 0.7821 | 0.7636 |
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+ | 0.6805 | 6.0 | 1488 | 0.8538 | 0.7636 |
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+ | 0.6217 | 7.0 | 1736 | 1.1071 | 0.7455 |
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+ | 0.6217 | 8.0 | 1984 | 0.9356 | 0.8 |
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+ | 0.5466 | 9.0 | 2232 | 0.9746 | 0.8182 |
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+ | 0.5466 | 10.0 | 2480 | 1.1260 | 0.7818 |
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+ | 0.4662 | 11.0 | 2728 | 1.0820 | 0.8 |
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+ | 0.4662 | 12.0 | 2976 | 1.0719 | 0.8 |
 
 
 
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  ### Framework versions
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