llm-wizard
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README.md
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---
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license:
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library_name: peft
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tags:
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- trl
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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:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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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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- PEFT 0.10.0
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- Transformers 4.40.
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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---
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license: llama3
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library_name: peft
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tags:
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- trl
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 6
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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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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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runs/May14_20-54-51_bbbbad40dc7c/events.out.tfevents.1715720096.bbbbad40dc7c.3181.0
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