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metadata
library_name: transformers
license: gemma
base_model: kykim0/gemma-2-2b-tulu-v2-mix
tags:
  - generated_from_trainer
datasets:
  - allenai/ultrafeedback_binarized_cleaned
model-index:
  - name: b64-lr1.41e-05-s0-e1-btbinf-seed42
    results: []

b64-lr1.41e-05-s0-e1-btbinf-seed42

This model is a fine-tuned version of kykim0/gemma-2-2b-tulu-v2-mix on the allenai/ultrafeedback_binarized_cleaned 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: 1.41e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.1.2
  • Datasets 2.14.6
  • Tokenizers 0.19.1