End of training

README.md

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+---
+license: apache-2.0
+base_model: LazarusNLP/IndoNanoT5-base
+tags:
+- generated_from_trainer
+datasets:
+- indonlg
+metrics:
+- rouge
+model-index:
+- name: IndoNanoT5-base-Liputan6-Canonical
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: indonlg
+      type: indonlg
+      config: liputan6_canonical
+      split: validation
+      args: liputan6_canonical
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.3976
+---
+
+<!-- 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. -->
+
+# IndoNanoT5-base-Liputan6-Canonical
+
+This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1194
+- Rouge1: 0.3976
+- Rouge2: 0.2229
+- Rougel: 0.3346
+- Rougelsum: 0.3345
+- Gen Len: 43.3808
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.9693        | 1.0   | 24236  | 1.3245          | 0.3082 | 0.1585 | 0.2687 | 0.2688    | 18.9956 |
+| 0.9338        | 2.0   | 48472  | 1.2759          | 0.3105 | 0.159  | 0.2705 | 0.2706    | 18.9985 |
+| 0.8632        | 3.0   | 72708  | 1.2698          | 0.3094 | 0.1586 | 0.2701 | 0.2702    | 18.9995 |
+| 0.8257        | 4.0   | 96944  | 1.2631          | 0.312  | 0.1603 | 0.2716 | 0.2715    | 18.9993 |
+| 0.7789        | 5.0   | 121180 | 1.2642          | 0.3149 | 0.1625 | 0.2748 | 0.2747    | 18.9998 |
+| 0.7595        | 6.0   | 145416 | 1.2587          | 0.3202 | 0.1658 | 0.279  | 0.2791    | 18.9995 |
+| 0.7343        | 7.0   | 169652 | 1.2644          | 0.3183 | 0.1647 | 0.2773 | 0.2773    | 18.9996 |
+| 0.7165        | 8.0   | 193888 | 1.2635          | 0.3141 | 0.1605 | 0.2732 | 0.2732    | 18.9993 |
+| 0.6697        | 9.0   | 218124 | 1.2856          | 0.316  | 0.162  | 0.275  | 0.275     | 18.9998 |
+| 0.6729        | 10.0  | 242360 | 1.2809          | 0.3195 | 0.164  | 0.2775 | 0.2776    | 18.9992 |
+| 0.6471        | 11.0  | 266596 | 1.2833          | 0.3185 | 0.1636 | 0.2769 | 0.277     | 18.9982 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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+oid sha256:ab35563a026450055aca0cf54b932715e5bd5aece025b115bf3dd17fd04308b0
 size 990345064

runs/Feb07_10-01-38_bookbot-h100/events.out.tfevents.1707330871.bookbot-h100

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