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-lora-16
+  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-lora-16
+
+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: 2.6616
+- Rouge1: 28.2024
+- Rouge2: 12.3241
+- Rougel: 23.9228
+- Rougelsum: 25.9287
+- Gen Len: 33.644
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.9434        | 1.0   | 63   | 2.6951          | 25.6796 | 11.0701 | 22.1424 | 23.2849   | 35.404  |
+| 2.3008        | 2.0   | 126  | 2.6542          | 27.4005 | 12.0574 | 23.6657 | 25.1251   | 35.768  |
+| 2.1668        | 3.0   | 189  | 2.6101          | 28.0403 | 12.2713 | 23.9451 | 25.7556   | 32.749  |
+| 2.0618        | 4.0   | 252  | 2.6574          | 28.5562 | 12.5992 | 24.2399 | 26.2278   | 32.931  |
+| 2.0036        | 5.0   | 315  | 2.6616          | 28.2024 | 12.3241 | 23.9228 | 25.9287   | 33.644  |
+
+
+### 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": {
+    "alpha": 8,
+    "architecture": "lora",
+    "attn_matrices": [
+      "q",
+      "v"
+    ],
+    "composition_mode": "add",
+    "dropout": 0.0,
+    "init_weights": "lora",
+    "intermediate_lora": false,
+    "leave_out": [],
+    "output_lora": false,
+    "r": 16,
+    "selfattn_lora": true,
+    "use_gating": false
+  },
+  "config_id": "141b248112091265",
+  "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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