dmis-lab / llama2-7b-olaph

huggingface.co
Total runs: 20
24-hour runs: 0
7-day runs: 4
30-day runs: 7
Model's Last Updated: May 22 2024
text-generation

Introduction of llama2-7b-olaph

Model Details of llama2-7b-olaph

llama2-7b-wo-kqa_golden-iter-dpo-step2

This model is a fine-tuned version of Minbyul/llama2-7b-wo-kqa_golden-iter-sft-step1 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: 5e-07
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • 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: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1
Training results
Framework versions
  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.14.6
  • Tokenizers 0.15.2

Runs of dmis-lab llama2-7b-olaph on huggingface.co

20
Total runs
0
24-hour runs
0
3-day runs
4
7-day runs
7
30-day runs

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llama2-7b-olaph install

llama2-7b-olaph is an open source model from GitHub that offers a free installation service, and any user can find llama2-7b-olaph on GitHub to install. At the same time, huggingface.co provides the effect of llama2-7b-olaph install, users can directly use llama2-7b-olaph installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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