End of training

README.md

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+---
+library_name: transformers
+base_model: panggi/t5-small-indonesian-summarization-cased
+tags:
+- generated_from_trainer
+datasets:
+- id_liputan6
+model-index:
+- name: t5-small-indonesian-summarization
+  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. -->
+
+# t5-small-indonesian-summarization
+
+This model is a fine-tuned version of [panggi/t5-small-indonesian-summarization-cased](https://huggingface.co/panggi/t5-small-indonesian-summarization-cased) on the id_liputan6 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4782
+
+## 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 OptimizerNames.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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 2.0195        | 0.4126 | 5000  | 2.6803          |
+| 1.9432        | 0.8252 | 10000 | 2.6026          |
+| 1.9104        | 1.2378 | 15000 | 2.5520          |
+| 1.8733        | 1.6504 | 20000 | 2.5069          |
+| 1.8138        | 2.0630 | 25000 | 2.4988          |
+| 1.805         | 2.4757 | 30000 | 2.4878          |
+| 1.8078        | 2.8883 | 35000 | 2.4782          |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.52.4"
+}

model.safetensors

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