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: indosum-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. -->
+
+# indosum-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: 0.7000
+- Rouge1: 72.1304
+- Rouge2: 65.3551
+- Rougel: 69.0923
+- Rougelsum: 71.291
+- Gen Len: 98.3614
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 32
+- 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  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
+| 1.2107        | 1.0   | 894  | 0.7716          | 66.2818 | 58.8499 | 63.3826 | 65.4963   | 106.3440 |
+| 0.6904        | 2.0   | 1788 | 0.6373          | 72.0398 | 65.3647 | 69.1761 | 71.211    | 100.4793 |
+| 0.4894        | 3.0   | 2682 | 0.6036          | 71.7057 | 65.1188 | 68.8683 | 70.8645   | 98.3481  |
+| 0.3369        | 4.0   | 3576 | 0.6175          | 72.2133 | 65.6425 | 69.3517 | 71.4102   | 97.7162  |
+| 0.1982        | 5.0   | 4470 | 0.7000          | 72.1304 | 65.3551 | 69.0923 | 71.291    | 98.3614  |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- 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"
+}

model.safetensors

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