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metadata
license: other
base_model: >-
  /apdcephfs_cq10/share_919031/larsonwang/LLaMA-Factory/save_model/train_lora_1709305042/
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: train_lora_1709346779
    results: []

train_lora_1709346779

This model is a fine-tuned version of /apdcephfs_cq10/share_919031/larsonwang/LLaMA-Factory/save_model/train_lora_1709305042/ on the sft_sample 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: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 5.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.38.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.17.1
  • Tokenizers 0.15.2