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SharedGPT/mistral-generate-instruction

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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/Mixtral-8x7B-v0.1
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+ model-index:
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+ - name: Mixtral_dolly_reverse_Inst
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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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+ # Mixtral_dolly_reverse_Inst
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+
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+ This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4407
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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: 2.5e-05
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+ - train_batch_size: 32
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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: linear
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+ - lr_scheduler_warmup_steps: 0.03
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+ - num_epochs: 1
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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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+ | 1.8058 | 0.05 | 10 | 1.9081 |
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+ | 1.7565 | 0.1 | 20 | 1.8383 |
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+ | 1.7155 | 0.15 | 30 | 1.7551 |
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+ | 1.6477 | 0.2 | 40 | 1.7002 |
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+ | 1.5887 | 0.25 | 50 | 1.6647 |
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+ | 1.5521 | 0.3 | 60 | 1.6351 |
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+ | 1.5184 | 0.35 | 70 | 1.6105 |
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+ | 1.5338 | 0.4 | 80 | 1.5860 |
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+ | 1.4718 | 0.45 | 90 | 1.5600 |
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+ | 1.4739 | 0.5 | 100 | 1.5341 |
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+ | 1.4525 | 0.55 | 110 | 1.5110 |
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+ | 1.4125 | 0.6 | 120 | 1.4896 |
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+ | 1.4118 | 0.65 | 130 | 1.4735 |
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+ | 1.3921 | 0.7 | 140 | 1.4631 |
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+ | 1.3861 | 0.75 | 150 | 1.4553 |
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+ | 1.3765 | 0.8 | 160 | 1.4497 |
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+ | 1.3664 | 0.85 | 170 | 1.4460 |
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+ | 1.3783 | 0.9 | 180 | 1.4429 |
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+ | 1.3544 | 0.95 | 190 | 1.4413 |
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+ | 1.3743 | 1.0 | 200 | 1.4407 |
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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 4.36.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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