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ardt-multipart-robust_train_walker2d_v3-2308_1824-99

This model is a fine-tuned version of 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: 0.0001
  • train_batch_size: 64
  • 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: 1000
  • training_steps: 10000

Training results

Framework versions

  • Transformers 4.29.2
  • Pytorch 2.1.0.dev20230727+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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