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-pl50
+  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-pl50
+
+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: 3.7381
+- Rouge1: 19.5385
+- Rouge2: 5.1106
+- Rougel: 16.7601
+- Rougelsum: 17.9271
+- Gen Len: 29.142
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 4.7245        | 1.0   | 63   | 3.9912          | 16.8276 | 3.6927 | 14.367  | 15.3151   | 30.652  |
+| 3.9104        | 2.0   | 126  | 3.8609          | 17.712  | 4.2061 | 14.9465 | 15.9818   | 35.104  |
+| 3.6651        | 3.0   | 189  | 3.8036          | 18.8508 | 4.6943 | 15.8363 | 17.0134   | 30.749  |
+| 3.4442        | 4.0   | 252  | 3.7533          | 19.7665 | 5.1425 | 16.7615 | 18.1456   | 28.31   |
+| 3.2664        | 5.0   | 315  | 3.7381          | 19.5385 | 5.1106 | 16.7601 | 17.9271   | 29.142  |
+
+
+### 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": 50,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "516cc5189dd85939",
+  "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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