LexMatcher_13B / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0
    results: []

flashatt1_llama213B_yyj_deruzh.shot3.highcomet_-1.0

This model is a fine-tuned version of /mnt/nanjing3cephfs/pr-others-prctrans/lemonzeng/search/mGPT/models/llama-2-13b on the None 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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.28.0
  • Pytorch 1.13.1
  • Datasets 2.14.0
  • Tokenizers 0.13.3