End of training

README.md

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+---
+library_name: transformers
+base_model: Wikidepia/indobert-lite-squad
+tags:
+- generated_from_trainer
+model-index:
+- name: QA-lite-squad
+  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. -->
+
+# QA-lite-squad
+
+This model is a fine-tuned version of [Wikidepia/indobert-lite-squad](https://huggingface.co/Wikidepia/indobert-lite-squad) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4377
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 250  | 2.0608          |
+| 0.3845        | 2.0   | 500  | 2.2382          |
+| 0.3845        | 3.0   | 750  | 2.4377          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3