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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ base_model: Luongdzung/hoa-1b4-finetune-cl5-m-l-h-g-bio-small-VN-ALL-WEIGHT
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: hoa-1b4-finetune-cl6-m-l-h-g-b-phy-small-VN
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+ results: []
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+ ---
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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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+
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+ # hoa-1b4-finetune-cl6-m-l-h-g-b-phy-small-VN
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+
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+ This model is a fine-tuned version of [Luongdzung/hoa-1b4-finetune-cl5-m-l-h-g-bio-small-VN-ALL-WEIGHT](https://huggingface.co/Luongdzung/hoa-1b4-finetune-cl5-m-l-h-g-bio-small-VN-ALL-WEIGHT) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.48.0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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