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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - lora
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+ - generated_from_trainer
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ model-index:
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+ - name: LangGPT
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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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+ # LangGPT
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+
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+ This model is a fine-tuned version of [/datas/huggingface/Meta-Llama-3-8B-Instruct](https://huggingface.co//datas/huggingface/Meta-Llama-3-8B-Instruct) on the LangGPT dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7564
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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: 5e-05
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+ - train_batch_size: 12
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 96
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 20
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+ - num_epochs: 9.0
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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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+ | 0.8441 | 1.25 | 100 | 0.8462 |
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+ | 0.7829 | 2.5 | 200 | 0.7942 |
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+ | 0.747 | 3.75 | 300 | 0.7737 |
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+ | 0.7507 | 5.0 | 400 | 0.7637 |
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+ | 0.7327 | 6.25 | 500 | 0.7590 |
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+ | 0.7331 | 7.5 | 600 | 0.7569 |
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+ | 0.7396 | 8.75 | 700 | 0.7564 |
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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 2.2.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.19.1
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