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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-7b-Instruct-hf
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+ model-index:
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+ - name: finetuning5
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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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+ # finetuning5
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+
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+ This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2658
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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: 0.001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 8
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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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+ | 2.688 | 1.0 | 1 | 2.8009 |
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+ | 2.3288 | 2.0 | 2 | 2.4102 |
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+ | 1.9797 | 3.0 | 3 | 2.1300 |
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+ | 1.7025 | 4.0 | 4 | 1.8725 |
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+ | 1.4467 | 5.0 | 5 | 1.6254 |
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+ | 1.192 | 6.0 | 6 | 1.3799 |
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+ | 0.9594 | 7.0 | 7 | 1.3070 |
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+ | 0.8349 | 8.0 | 8 | 1.2658 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0
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+ - Pytorch 2.0.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+ ## Training procedure
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+
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+
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+ ### Framework versions
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+
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+
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+ - PEFT 0.6.0
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+ "▁<EOT>"
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+ "content": "▁<EOT>",
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+ "▁<EOT>"
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+ "eot_token": "▁<EOT>",
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