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