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codeLlama13B-StaproCoder

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  1. README.md +81 -0
  2. adapter_model.safetensors +1 -1
  3. runs/Mar03_12-06-53_grace1/events.out.tfevents.1709464284.grace1.498559.0 +2 -2
README.md ADDED
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+ ---
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+ license: llama2
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: codellama/CodeLlama-13b-hf
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+ model-index:
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+ - name: codeLlama13B-StaproCoder
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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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+ # codeLlama13B-StaproCoder
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+
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+ This model is a fine-tuned version of [codellama/CodeLlama-13b-hf](https://huggingface.co/codellama/CodeLlama-13b-hf) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1794
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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: 0.0005
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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: 0.1
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+ - training_steps: 2000
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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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+ | 0.2404 | 0.05 | 100 | 0.2456 |
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+ | 0.289 | 0.1 | 200 | 0.2349 |
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+ | 0.236 | 0.15 | 300 | 0.2281 |
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+ | 0.1928 | 0.2 | 400 | 0.2200 |
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+ | 0.1999 | 0.25 | 500 | 0.2217 |
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+ | 0.1697 | 0.3 | 600 | 0.2134 |
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+ | 0.1825 | 0.35 | 700 | 0.2129 |
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+ | 0.1904 | 0.4 | 800 | 0.2093 |
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+ | 0.159 | 0.45 | 900 | 0.2054 |
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+ | 0.1448 | 0.5 | 1000 | 0.1994 |
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+ | 0.1993 | 0.55 | 1100 | 0.1954 |
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+ | 0.2424 | 0.6 | 1200 | 0.1896 |
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+ | 0.1385 | 0.65 | 1300 | 0.1891 |
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+ | 0.1427 | 0.7 | 1400 | 0.1860 |
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+ | 0.2021 | 0.75 | 1500 | 0.1836 |
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+ | 0.1884 | 0.8 | 1600 | 0.1824 |
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+ | 0.26 | 0.85 | 1700 | 0.1809 |
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+ | 0.1641 | 0.9 | 1800 | 0.1799 |
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+ | 0.1503 | 0.95 | 1900 | 0.1794 |
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+ | 0.1613 | 1.0 | 2000 | 0.1794 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.0
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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