Model save

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+base_model: LazarusNLP/IndoNanoT5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: summarization-pt-0
+  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-0
+
+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: 2.2597
+- Rouge1: 0.4544
+- Rouge2: 0.0
+- Rougel: 0.4545
+- Rougelsum: 0.4552
+- 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: 5e-05
+- train_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.5583        | 1.0   | 1783 | 2.6005          | 0.4848 | 0.0    | 0.4883 | 0.4866    | 1.0     |
+| 3.0833        | 2.0   | 3566 | 2.4167          | 0.4635 | 0.0    | 0.4663 | 0.4673    | 1.0     |
+| 2.9538        | 3.0   | 5349 | 2.3432          | 0.5124 | 0.0    | 0.5075 | 0.5087    | 1.0     |
+| 2.8804        | 4.0   | 7132 | 2.2964          | 0.4384 | 0.0    | 0.4392 | 0.4405    | 1.0     |
+| 2.8424        | 5.0   | 8915 | 2.2597          | 0.4544 | 0.0    | 0.4545 | 0.4552    | 1.0     |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter-summarization/adapter_config.json

@@ -0,0 +1,22 @@
+{
+  "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

@@ -0,0 +1,14 @@
+{
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cd127dd7890a84a47faf6b153e655b870ee80d873467037062a67fd92f3e993
+size 118408001

adapter-summarization/pytorch_model_head.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36c7f60d7c305b8e067981ec8ab4665b3fd4c746587f3a3797ba687491a068c0
+size 216988098