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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ base_model: skim-wmt24/mistral-llm-recipes-en-ja-continuous-pretrained-v1-dev-finetune-docs-hf
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+ model-index:
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+ - name: mistral-llm-recipes-en-ja-continuous-pretrained-v1-dev-finetune-docs-dpo-lora-debug
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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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+ # mistral-llm-recipes-en-ja-continuous-pretrained-v1-dev-finetune-docs-dpo-lora-debug
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+
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+ This model is a fine-tuned version of [skim-wmt24/mistral-llm-recipes-en-ja-continuous-pretrained-v1-dev-finetune-docs-hf](https://huggingface.co/skim-wmt24/mistral-llm-recipes-en-ja-continuous-pretrained-v1-dev-finetune-docs-hf) on the None 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: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 2
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1.0
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0a0+ebedce2
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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+ "peft_type": "LORA",
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+ "target_modules": [
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+ }
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