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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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- # tinyllama-physics-lora_1
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- This model is a fine-tuned version of [PY007/TinyLlama-1.1B-Chat-v0.3](https://huggingface.co/PY007/TinyLlama-1.1B-Chat-v0.3) on the None 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: 1
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- - eval_batch_size: 8
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- - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 4
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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: 1
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- - mixed_precision_training: Native AMP
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- ### Training results
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- ### Framework versions
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- - Transformers 4.35.0
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- - Pytorch 2.0.0
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- - Datasets 2.1.0
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- - Tokenizers 0.14.1
 
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  results: []
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  ---
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+ Final step : multiple lora merge