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  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
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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
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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: 0.5159
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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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+ - 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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+ | 1.2211 | 0.0109 | 10 | 0.5508 |
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+ | 0.446 | 0.0219 | 20 | 0.5180 |
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+ | 0.3889 | 0.0328 | 30 | 0.5139 |
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+ | 0.3757 | 0.0438 | 40 | 0.5758 |
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+ | 0.3551 | 0.0547 | 50 | 0.5461 |
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+ | 0.3351 | 0.0656 | 60 | 0.5407 |
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+ | 0.3269 | 0.0766 | 70 | 0.5335 |
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+ | 0.3231 | 0.0875 | 80 | 0.5121 |
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+ | 0.3324 | 0.0984 | 90 | 0.5196 |
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+ | 0.3039 | 0.1094 | 100 | 0.5252 |
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+ | 0.3083 | 0.1203 | 110 | 0.5070 |
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+ | 0.3034 | 0.1313 | 120 | 0.5375 |
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+ | 0.3061 | 0.1422 | 130 | 0.5346 |
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+ | 0.3021 | 0.1531 | 140 | 0.5112 |
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+ | 0.3067 | 0.1641 | 150 | 0.5191 |
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+ | 0.2958 | 0.1750 | 160 | 0.5278 |
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+ | 0.3002 | 0.1859 | 170 | 0.5170 |
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+ | 0.2896 | 0.1969 | 180 | 0.5086 |
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+ | 0.2989 | 0.2078 | 190 | 0.5300 |
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+ | 0.3012 | 0.2188 | 200 | 0.5137 |
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+ | 0.2802 | 0.2297 | 210 | 0.5159 |
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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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