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  1. README.md +71 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ base_model: meta-llama/Llama-2-7b-hf
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+ model-index:
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+ - name: Llama2_AAID_new_mixed_train_final_2
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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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+ # Llama2_AAID_new_mixed_train_final_2
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5433
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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: 0.0003
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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: 8
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+ - total_train_batch_size: 256
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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_ratio: 0.03
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+ - num_epochs: 3.0
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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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+ | 1.5222 | 0.0438 | 40 | 0.5364 |
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+ | 0.3981 | 0.0875 | 80 | 0.5547 |
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+ | 0.3297 | 0.1313 | 120 | 0.5276 |
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+ | 0.3131 | 0.1750 | 160 | 0.5312 |
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+ | 0.3049 | 0.2188 | 200 | 0.5147 |
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+ | 0.2906 | 0.2625 | 240 | 0.5208 |
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+ | 0.2862 | 0.3063 | 280 | 0.5313 |
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+ | 0.2799 | 0.3500 | 320 | 0.5454 |
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+ | 0.2748 | 0.3938 | 360 | 0.5483 |
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+ | 0.2613 | 0.4375 | 400 | 0.5433 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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