End of training

README.md

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+---
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Zidan_model_output_v9
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Zidan_model_output_v9
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4760
+- Accuracy: 0.8
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 248  | 0.6499          | 0.7818   |
+| No log        | 2.0   | 496  | 0.8322          | 0.7818   |
+| 0.7366        | 3.0   | 744  | 0.7805          | 0.8      |
+| 0.7366        | 4.0   | 992  | 1.1599          | 0.8182   |
+| 0.4101        | 5.0   | 1240 | 0.8254          | 0.8727   |
+| 0.4101        | 6.0   | 1488 | 0.9355          | 0.8364   |
+| 0.1646        | 7.0   | 1736 | 0.7034          | 0.9091   |
+| 0.1646        | 8.0   | 1984 | 0.8547          | 0.8545   |
+| 0.0927        | 9.0   | 2232 | 1.2842          | 0.8182   |
+| 0.0927        | 10.0  | 2480 | 1.2158          | 0.8364   |
+| 0.0457        | 11.0  | 2728 | 1.2863          | 0.8182   |
+| 0.0457        | 12.0  | 2976 | 1.4266          | 0.8182   |
+| 0.0383        | 13.0  | 3224 | 1.4670          | 0.8182   |
+| 0.0383        | 14.0  | 3472 | 1.4547          | 0.8182   |
+| 0.0221        | 15.0  | 3720 | 1.4760          | 0.8      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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