mruby's picture
update model card README.md
9ad35ea
metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: convnext-large-224-attempt-2253
    results: []

convnext-large-224-attempt-2253

This model is a fine-tuned version of facebook/convnext-large-224 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1280
  • Accuracy: 0.9493

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.4734 0.99 33 0.3361 0.9302
0.1529 1.98 66 0.1393 0.9450
0.1179 2.98 99 0.1280 0.9493

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.0
  • Tokenizers 0.13.3