ccs-predictor

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2696
• eval_model_preparation_time: 0.0016
• eval_accuracy: 0.9688
• eval_runtime: 0.0313
• eval_samples_per_second: 1023.04
• eval_steps_per_second: 63.94
• step: 0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 16

Framework versions

• Transformers 4.48.3
• Pytorch 2.5.1+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0