arc_cot_16 / README.md
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End of training
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metadata
license: llama2
base_model: lmsys/vicuna-7b-v1.5
tags:
  - generated_from_trainer
model-index:
  - name: arc_cot_16
    results: []

arc_cot_16

This model is a fine-tuned version of lmsys/vicuna-7b-v1.5 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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.13.1
  • Tokenizers 0.14.1