AnLLM-AC-7B-PT / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - >-
    /apdcephfs/share_733425/vinnylywang/jianhuipang/datasets/RedPajama-Data-1T-Sample
model-index:
  - name: allm-ac-7b
    results: []

allm-ac-7b

This model is a fine-tuned version of /apdcephfs/share_733425/vinnylywang/jianhuipang/opensourcellms/llama2/Llama-2-7b-hf on the /apdcephfs/share_733425/vinnylywang/jianhuipang/datasets/RedPajama-Data-1T-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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 34
  • distributed_type: multi-GPU
  • num_devices: 32
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 512
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.14.6
  • Tokenizers 0.13.3