---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: ccs-predictor
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# 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