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End of training

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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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+ - trl
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+ - sft
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+ - unsloth
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ base_model: unsloth/llama-2-7b
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+ model-index:
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+ - name: llama2-7b-int4-dolly-15k-english-unsloth-neftune-packing
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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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+ # llama2-7b-int4-dolly-15k-english-unsloth-neftune-packing
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+
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+ This model is a fine-tuned version of [unsloth/llama-2-7b](https://huggingface.co/unsloth/llama-2-7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2198
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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: 6
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+ - eval_batch_size: 4
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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: cosine
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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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+ | 1.2668 | 0.64 | 100 | 1.2312 |
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+ | 1.1935 | 1.27 | 200 | 1.2221 |
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+ | 1.1722 | 1.91 | 300 | 1.2176 |
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+ | 1.145 | 2.55 | 400 | 1.2198 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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