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TheBloke/Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs

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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: TheBloke/Mistral-7B-Instruct-v0.2-AWQ
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+ model-index:
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+ - name: Mistral-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs
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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-7B-Instruct-v0.2-AWQ-FaVe-rank8-2epochs
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+
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+ This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-AWQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-AWQ) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4099
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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: 0.0005
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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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: 10
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+ - num_epochs: 2
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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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+ | No log | 0.2685 | 10 | 1.6147 |
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+ | 1.9334 | 0.5369 | 20 | 0.7459 |
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+ | 1.9334 | 0.8054 | 30 | 0.5961 |
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+ | 0.6653 | 1.0738 | 40 | 0.5019 |
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+ | 0.6653 | 1.3423 | 50 | 0.4420 |
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+ | 0.4616 | 1.6107 | 60 | 0.4234 |
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+ | 0.4616 | 1.8792 | 70 | 0.4099 |
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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 4.40.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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