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Baseline Training completed BatchSize 4 steps 50

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README.md ADDED
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+ ---
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+ base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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+ library_name: peft
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+ license: apache-2.0
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+ tags:
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+ - adapter
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+ - instruct-tuning
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+ - Mistral7B
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+ - Batch_Size-4
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+ - Steps-50
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+ - trl
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+ - sft
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+ - unsloth
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+ - generated_from_trainer
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+ model-index:
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+ - name: PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B
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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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+ # PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B
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+
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+ This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0508
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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: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 3407
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 5
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+ - training_steps: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.4996 | 0.0719 | 20 | 1.1235 |
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+ | 1.0737 | 0.1438 | 40 | 1.0508 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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