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  1. README.md +67 -0
  2. adapter_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-2-7b-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
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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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+ # Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4107
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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: 0.0002
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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_ratio: 0.03
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+ - num_epochs: 3
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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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+ | 1.2903 | 0.3 | 244 | 1.4168 |
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+ | 1.3252 | 0.6 | 488 | 1.4060 |
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+ | 1.3215 | 0.9 | 732 | 1.4003 |
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+ | 1.9272 | 1.2 | 976 | 1.4028 |
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+ | 1.9263 | 1.5 | 1220 | 1.4029 |
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+ | 1.4395 | 1.8 | 1464 | 1.4109 |
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+ | 1.2286 | 2.11 | 1708 | 1.4108 |
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+ | 1.2331 | 2.41 | 1952 | 1.4082 |
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+ | 1.4944 | 2.71 | 2196 | 1.4107 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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