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-pt-4
+  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-pt-4
+
+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: 1.7830
+- Rouge1: 0.6862
+- Rouge2: 0.0
+- Rougel: 0.6838
+- Rougelsum: 0.6843
+- 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.3525        | 1.0   | 892  | 2.4645          | 0.6739 | 0.0    | 0.6721 | 0.6722    | 1.0     |
+| 2.9432        | 2.0   | 1784 | 2.2285          | 0.6712 | 0.0    | 0.6719 | 0.672     | 1.0     |
+| 2.7301        | 3.0   | 2676 | 2.0003          | 0.6833 | 0.0    | 0.6773 | 0.6791    | 1.0     |
+| 2.5599        | 4.0   | 3568 | 1.8546          | 0.7278 | 0.0    | 0.7227 | 0.7246    | 1.0     |
+| 2.422         | 5.0   | 4460 | 1.7830          | 0.6862 | 0.0    | 0.6838 | 0.6843    | 1.0     |
+
+
+### 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": 10,
+    "shared_gating": true,
+    "use_gating": false
+  },
+  "config_id": "e21f5a7ac06e3fee",
+  "hidden_size": 768,
+  "model_class": "T5ForConditionalGeneration",
+  "model_name": "LazarusNLP/IndoNanoT5-base",
+  "model_type": "t5",
+  "name": "adapter-summarization",
+  "version": "0.2.2"
+}

adapter-summarization/head_config.json

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+{
+  "config": null,
+  "hidden_size": 768,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "model_class": "T5ForConditionalGeneration",
+  "model_name": "LazarusNLP/IndoNanoT5-base",
+  "model_type": "t5",
+  "name": null,
+  "num_labels": 2,
+  "version": "0.2.2"
+}

adapter-summarization/pytorch_adapter.bin

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adapter-summarization/pytorch_model_head.bin

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