End of training
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README.md
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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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datasets:
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- 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: validation
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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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# 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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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.37.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 990345064
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version https://git-lfs.github.com/spec/v1
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oid sha256:a401ce049659acb59b1854cfadec4db33589f6fb41aeac38ff80d4ca5c989994
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size 990345064
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runs/Feb09_07-23-37_bookbot-h100/events.out.tfevents.1707478684.bookbot-h100
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version https://git-lfs.github.com/spec/v1
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oid sha256:8157db4c261a8192762a8530d59288c66a03f9a725cca367046da68343e643da
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size 40
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