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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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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ base_model: NousResearch/Llama-2-7b-hf
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+ model-index:
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+ - name: llama2_instruct_generation
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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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+ # llama2_instruct_generation
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+
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+ This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6750
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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: 8
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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: constant
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+ - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 500
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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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+ | 1.8413 | 0.0 | 20 | 1.8102 |
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+ | 1.9042 | 0.01 | 40 | 1.7811 |
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+ | 1.8402 | 0.01 | 60 | 1.7657 |
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+ | 1.8856 | 0.01 | 80 | 1.7511 |
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+ | 1.9212 | 0.01 | 100 | 1.7390 |
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+ | 1.807 | 0.02 | 120 | 1.7090 |
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+ | 1.8321 | 0.02 | 140 | 1.7029 |
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+ | 1.871 | 0.02 | 160 | 1.6979 |
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+ | 1.848 | 0.02 | 180 | 1.6947 |
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+ | 1.8378 | 0.03 | 200 | 1.6908 |
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+ | 1.746 | 0.03 | 220 | 1.6893 |
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+ | 1.7568 | 0.03 | 240 | 1.6874 |
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+ | 1.8227 | 0.04 | 260 | 1.6860 |
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+ | 1.8134 | 0.04 | 280 | 1.6835 |
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+ | 1.8026 | 0.04 | 300 | 1.6819 |
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+ | 1.8267 | 0.04 | 320 | 1.6831 |
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+ | 1.7998 | 0.05 | 340 | 1.6816 |
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+ | 1.8747 | 0.05 | 360 | 1.6793 |
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+ | 1.8478 | 0.05 | 380 | 1.6785 |
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+ | 1.8627 | 0.05 | 400 | 1.6776 |
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+ | 1.7956 | 0.06 | 420 | 1.6783 |
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+ | 1.7184 | 0.06 | 440 | 1.6764 |
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+ | 1.7038 | 0.06 | 460 | 1.6753 |
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+ | 1.9049 | 0.07 | 480 | 1.6764 |
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+ | 1.8113 | 0.07 | 500 | 1.6750 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.37.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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