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README.md
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# output
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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: 5e-05
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- train_batch_size: 3
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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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- lr_scheduler_warmup_ratio: 0.04
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- training_steps: 10000
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Tokenizers 0.19.1
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# output
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Please see JuIm/ProGemma
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