Model save

README.md

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+---
+license: apache-2.0
+base_model: LazarusNLP/IndoNanoT5-base
+tags:
+- generated_from_trainer
+datasets:
+- id_liputan6
+metrics:
+- rouge
+model-index:
+- name: liputan6-pt-pl5
+  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. -->
+
+# liputan6-pt-pl5
+
+This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the id_liputan6 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8205
+- Rouge1: 18.6328
+- Rouge2: 4.2703
+- Rougel: 15.6625
+- Rougelsum: 16.9103
+- Gen Len: 30.177
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 4.799         | 1.0   | 63   | 4.1142          | 13.0788 | 2.2394 | 10.8409 | 11.8062   | 40.873  |
+| 4.179         | 2.0   | 126  | 3.9928          | 16.7604 | 3.2541 | 13.8889 | 15.1654   | 32.962  |
+| 3.9656        | 3.0   | 189  | 3.8832          | 18.1366 | 3.9918 | 15.2392 | 16.4266   | 30.549  |
+| 3.8038        | 4.0   | 252  | 3.8552          | 18.2504 | 4.0948 | 15.4777 | 16.7374   | 28.411  |
+| 3.6617        | 5.0   | 315  | 3.8205          | 18.6328 | 4.2703 | 15.6625 | 16.9103   | 30.177  |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter-summarization/adapter_config.json

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+{
+  "config": {
+    "architecture": "prefix_tuning",
+    "bottleneck_size": 512,
+    "cross_prefix": true,
+    "dropout": 0.0,
+    "encoder_prefix": true,
+    "flat": false,
+    "leave_out": [],
+    "non_linearity": "tanh",
+    "prefix_length": 5,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "25a1b954cd3b867c",
+  "hidden_size": 768,
+  "model_class": "T5AdapterModel",
+  "model_name": "LazarusNLP/IndoNanoT5-base",
+  "model_type": "t5",
+  "name": "adapter-summarization",
+  "version": "0.2.2"
+}

adapter-summarization/pytorch_adapter.bin

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default/head_config.json

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+{
+  "config": {
+    "activation_function": null,
+    "bias": false,
+    "head_type": "seq2seq_lm",
+    "label2id": null,
+    "layer_norm": false,
+    "layers": 1,
+    "shift_labels": false,
+    "vocab_size": 32128
+  },
+  "hidden_size": 768,
+  "model_class": "T5AdapterModel",
+  "model_name": "LazarusNLP/IndoNanoT5-base",
+  "model_type": "t5",
+  "name": "default",
+  "version": "0.2.2"
+}

default/pytorch_model_head.bin

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