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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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+ base_model: cognitivecomputations/dolphin-2.2.1-mistral-7b
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: mistral_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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+ # mistral_instruct_generation
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+
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+ This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5008
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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: 3
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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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+ - num_epochs: 3
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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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+ | 1.9388 | 0.1869 | 20 | 1.8326 |
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+ | 1.7574 | 0.3738 | 40 | 1.6963 |
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+ | 1.6736 | 0.5607 | 60 | 1.6514 |
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+ | 1.6703 | 0.7477 | 80 | 1.6321 |
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+ | 1.6708 | 0.9346 | 100 | 1.6113 |
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+ | 1.6049 | 1.1215 | 120 | 1.5912 |
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+ | 1.6446 | 1.3084 | 140 | 1.5891 |
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+ | 1.5222 | 1.4953 | 160 | 1.5691 |
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+ | 1.6022 | 1.6822 | 180 | 1.5599 |
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+ | 1.4326 | 1.8692 | 200 | 1.5512 |
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+ | 1.4876 | 2.0561 | 220 | 1.5548 |
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+ | 1.4821 | 2.2430 | 240 | 1.5379 |
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+ | 1.3868 | 2.4299 | 260 | 1.5326 |
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+ | 1.5277 | 2.6168 | 280 | 1.5286 |
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+ | 1.5205 | 2.8037 | 300 | 1.5084 |
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+ | 1.4125 | 2.9907 | 320 | 1.5008 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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