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rheubanks/LLMENG2

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README.md ADDED
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+ ---
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+ license: apache-2.0
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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: mistralai/Mistral-7B-v0.1
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+ model-index:
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+ - name: mistral7b_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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+ # mistral7b_instruct_generation
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7939
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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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+ | 1.7815 | 0.0 | 20 | 1.8296 |
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+ | 1.8199 | 0.01 | 40 | 1.7992 |
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+ | 1.7606 | 0.01 | 60 | 1.7950 |
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+ | 1.8347 | 0.01 | 80 | 1.7923 |
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+ | 1.7433 | 0.01 | 100 | 1.7958 |
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+ | 1.8829 | 0.02 | 120 | 1.7928 |
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+ | 1.769 | 0.02 | 140 | 1.7893 |
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+ | 1.7817 | 0.02 | 160 | 1.7849 |
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+ | 1.7975 | 0.03 | 180 | 1.7881 |
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+ | 2.008 | 0.03 | 200 | 1.7882 |
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+ | 1.827 | 0.03 | 220 | 1.7993 |
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+ | 1.8336 | 0.03 | 240 | 1.7953 |
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+ | 1.8757 | 0.04 | 260 | 1.7916 |
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+ | 1.9317 | 0.04 | 280 | 1.7900 |
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+ | 1.8708 | 0.04 | 300 | 1.7867 |
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+ | 1.8851 | 0.04 | 320 | 1.7928 |
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+ | 1.94 | 0.05 | 340 | 1.7880 |
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+ | 1.7749 | 0.05 | 360 | 1.8033 |
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+ | 1.8647 | 0.05 | 380 | 1.7870 |
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+ | 1.8468 | 0.06 | 400 | 1.7871 |
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+ | 1.8341 | 0.06 | 420 | 1.7890 |
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+ | 1.9152 | 0.06 | 440 | 1.7892 |
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+ | 1.7979 | 0.06 | 460 | 1.8051 |
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+ | 1.9065 | 0.07 | 480 | 1.7986 |
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+ | 1.8011 | 0.07 | 500 | 1.7939 |
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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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