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--- |
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library_name: peft |
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base_model: tachiwin/pretrained_multilingual_instruct |
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tags: |
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- unsloth |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: multilingual |
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results: [] |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tachiwin/tachiwin_finetune/runs/ms960iob) |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tachiwin/tachiwin_finetune/runs/ms960iob) |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/tachiwin/tachiwin_finetune/runs/ms960iob) |
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# multilingual |
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This model is a fine-tuned version of [tachiwin/pretrained_multilingual_instruct](https://huggingface.co/tachiwin/pretrained_multilingual_instruct) on an unknown dataset. |
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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: 3.224270650583368e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 3407 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 1024 |
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- optimizer: Use OptimizerNames.LION_8BIT and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
