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opt350m-lora-pruned-wanda-2-4

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opt350m-lora-pruned-wanda-2-4 / README.md
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metadata
library_name: peft
base_model: saresri/pruned_opt
tags:
  - generated_from_trainer
model-index:
  - name: opt350m-lora-pruned-wanda-2-4
    results: []

opt350m-lora-pruned-wanda-2-4

This model is a fine-tuned version of saresri/pruned_opt on an unknown 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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.14.0
  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0