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ppo_zephyr_vllm_bs128

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metadata
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
  - generated_from_trainer
model-index:
  - name: ppo_zephyr_vllm_bs128
    results: []

ppo_zephyr_vllm_bs128

This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta 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: 3e-06
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 7
  • gradient_accumulation_steps: 128
  • total_train_batch_size: 896
  • total_eval_batch_size: 56
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3.0

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.19.1