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- trl
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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datasets: TIGER-Lab/MathInstruct
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model-index:
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pipeline_tag: text-generation
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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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# llama3.1-8B-finetuned-Math
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the [TIGER-Lab/MathInstruct](https://huggingface.co/TIGER-Lab/MathInstruct) dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 4
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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: cosine
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- training_steps: 3
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.43.3
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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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- trl
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- math
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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datasets: TIGER-Lab/MathInstruct
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model-index:
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pipeline_tag: text-generation
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---
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# llama3.1-8B-finetuned-Math
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the [TIGER-Lab/MathInstruct](https://huggingface.co/TIGER-Lab/MathInstruct) dataset.
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