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--- |
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license: apache-2.0 |
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base_model: LazarusNLP/IndoNanoT5-base |
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tags: |
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- generated_from_trainer |
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language: |
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- ind |
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datasets: |
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- GEM/indonlg |
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metrics: |
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- bleu |
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- sacrebleu |
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model-index: |
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- name: IndoNanoT5-base-XPersona |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: indonlg |
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type: indonlg |
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config: xpersona |
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split: test |
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args: xpersona |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 4.0669 |
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- name: Sacrebleu |
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type: sacrebleu |
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value: 4.0669 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# LazarusNLP/IndoNanoT5-base-XPersona |
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on the indonlg dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8372 |
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- Bleu: 4.0669 |
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- Sacrebleu: 4.0669 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Sacrebleu | |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:---------:| |
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| 1.9872 | 1.0 | 15516 | 1.8482 | 3.7015 | 3.7015 | |
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| 1.888 | 2.0 | 31032 | 1.8434 | 4.0409 | 4.0409 | |
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| 1.8207 | 3.0 | 46548 | 1.8347 | 4.1239 | 4.1239 | |
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| 1.7716 | 4.0 | 62064 | 1.8340 | 4.3231 | 4.3231 | |
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| 1.6948 | 5.0 | 77580 | 1.8443 | 4.4283 | 4.4283 | |
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| 1.6442 | 6.0 | 93096 | 1.8563 | 4.5338 | 4.5338 | |
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| 1.5856 | 7.0 | 108612 | 1.8782 | 4.3033 | 4.3033 | |
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| 1.5451 | 8.0 | 124128 | 1.8930 | 4.3286 | 4.3286 | |
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| 1.5056 | 9.0 | 139644 | 1.9207 | 4.2773 | 4.2773 | |
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| 1.446 | 10.0 | 155160 | 1.9406 | 4.0629 | 4.0629 | |
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| 1.406 | 11.0 | 170676 | 1.9636 | 4.1382 | 4.1382 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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