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PPRM-gemma-2-2b-it

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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PPRM-gemma-2-2b-it / README.md
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metadata
base_model: google/gemma-2-2b-it
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: PRM_DPO_GEMMA_ZD_8_18_1
    results: []

PRM_DPO_GEMMA_ZD_8_18_1

This model is a fine-tuned version of google/gemma-2-2b-it on the prm_dpo 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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 16
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.0
  • Pytorch 2.3.1
  • Datasets 2.20.0
  • Tokenizers 0.19.1