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_80_10_10_v3
+  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_80_10_10_v3
+
+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: 1.6777
+- Accuracy: 0.7455
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 220  | 0.6662          | 0.7636   |
+| No log        | 2.0   | 440  | 0.6709          | 0.7545   |
+| 0.6918        | 3.0   | 660  | 0.9846          | 0.7545   |
+| 0.6918        | 4.0   | 880  | 1.1782          | 0.7364   |
+| 0.277         | 5.0   | 1100 | 1.5201          | 0.7455   |
+| 0.277         | 6.0   | 1320 | 1.5724          | 0.7364   |
+| 0.0809        | 7.0   | 1540 | 1.5310          | 0.7364   |
+| 0.0809        | 8.0   | 1760 | 1.6199          | 0.7455   |
+| 0.0809        | 9.0   | 1980 | 1.6281          | 0.7545   |
+| 0.0375        | 10.0  | 2200 | 1.5576          | 0.7545   |
+| 0.0375        | 11.0  | 2420 | 1.6472          | 0.7455   |
+| 0.0223        | 12.0  | 2640 | 1.6777          | 0.7455   |
+
+
+### 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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