Model save

README.md

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+---
+license: apache-2.0
+base_model: LazarusNLP/IndoNanoT5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: summarization-base-4
+  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. -->
+
+# summarization-base-4
+
+This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4923
+- Rouge1: 0.3905
+- Rouge2: 0.0
+- Rougel: 0.3898
+- Rougelsum: 0.3916
+- Gen Len: 1.0
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.6327        | 1.0   | 3567  | 0.4634          | 0.3795 | 0.0    | 0.3806 | 0.3802    | 1.0     |
+| 0.4349        | 2.0   | 7134  | 0.4541          | 0.3596 | 0.0    | 0.3615 | 0.3631    | 1.0     |
+| 0.3376        | 3.0   | 10701 | 0.4562          | 0.4121 | 0.0    | 0.4123 | 0.4116    | 1.0     |
+| 0.2683        | 4.0   | 14268 | 0.4744          | 0.3886 | 0.0    | 0.3869 | 0.388     | 1.0     |
+| 0.2208        | 5.0   | 17835 | 0.4923          | 0.3905 | 0.0    | 0.3898 | 0.3916    | 1.0     |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.2"
+}