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Cheese_X_ray

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metadata
library_name: transformers
license: apache-2.0
base_model: barghavani/Cheese_xray
tags:
  - generated_from_trainer
model-index:
  - name: Cheese_X_ray
    results: []

Cheese_X_ray

This model is a fine-tuned version of barghavani/Cheese_xray on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2524
  • eval_accuracy: 0.9089
  • eval_runtime: 4.7004
  • eval_samples_per_second: 123.819
  • eval_steps_per_second: 7.872
  • epoch: 11.5608
  • step: 737

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 100

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1