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Zestor/Mixtral-8x7B-v0.1-instruct-v1

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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_Alpace_v2
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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_Alpace_v2
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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: 1.6342
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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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+ - training_steps: 100
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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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+ | 1.8073 | 0.05 | 10 | 1.9071 |
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+ | 1.7475 | 0.1 | 20 | 1.8399 |
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+ | 1.7063 | 0.15 | 30 | 1.7673 |
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+ | 1.6365 | 0.2 | 40 | 1.7175 |
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+ | 1.6161 | 0.25 | 50 | 1.6894 |
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+ | 1.6024 | 0.3 | 60 | 1.6687 |
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+ | 1.6022 | 0.35 | 70 | 1.6535 |
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+ | 1.5431 | 0.4 | 80 | 1.6428 |
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+ | 1.5343 | 0.45 | 90 | 1.6364 |
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+ | 1.5398 | 0.5 | 100 | 1.6342 |
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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 2.16.0
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+ - Tokenizers 0.15.0
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