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amazingvince/Yoda-WizardLM-2.3-7B AWQ

Model Summary

This model is a fine-tuned version of amazingvince/Not-WizardLM-2-7B on an unknown dataset.

The following hyperparameters were used during training:

  • learning_rate: 5e-06
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3
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1.2B params
Tensor type
I32
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