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lora_wo_dlora_rslora_1_epoch

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LoRA fine tuned without dlora and rslora for one epoch
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metadata
library_name: peft
license: apache-2.0
base_model: Jukess/curriculum_fine_tuned
tags:
  - generated_from_trainer
model-index:
  - name: lora_wo_dlora_rslora_1_epoch
    results: []

lora_wo_dlora_rslora_1_epoch

This model is a fine-tuned version of Jukess/curriculum_fine_tuned on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0005
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 1

Framework versions

  • PEFT 0.15.2
  • Transformers 4.51.3
  • Pytorch 2.7.0+cu126
  • Datasets 3.6.0
  • Tokenizers 0.21.0