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Ai-Marshal/Mistral-7B-v0.2-Sentiment-12k-20240403

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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: mistralai/Mistral-7B-Instruct-v0.2
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: mistral-finetune
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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-finetune
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3252
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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: 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: linear
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+ - lr_scheduler_warmup_steps: 0.03
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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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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+ | 0.3784 | 1.0 | 201 | 0.3443 |
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+ | 0.3315 | 2.0 | 402 | 0.3313 |
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+ | 0.3043 | 3.0 | 603 | 0.3252 |
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+ | 0.3079 | 4.0 | 804 | 0.3236 |
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+ | 0.2966 | 5.0 | 1005 | 0.3252 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.1.dev0
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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