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
