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-2
+  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-2
+
+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: 0.4862
+- Rouge1: 0.3867
+- Rouge2: 0.0
+- Rougel: 0.3833
+- Rougelsum: 0.386
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.6352        | 1.0   | 3573  | 0.4614          | 0.3871 | 0.0    | 0.3846 | 0.3884    | 1.0     |
+| 0.4361        | 2.0   | 7146  | 0.4357          | 0.3574 | 0.0    | 0.3543 | 0.3544    | 1.0     |
+| 0.3391        | 3.0   | 10719 | 0.4479          | 0.3973 | 0.0    | 0.3975 | 0.4009    | 1.0     |
+| 0.2686        | 4.0   | 14292 | 0.4639          | 0.4113 | 0.0    | 0.4102 | 0.4115    | 1.0     |
+| 0.2221        | 5.0   | 17865 | 0.4862          | 0.3867 | 0.0    | 0.3833 | 0.386     | 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"
+}