Edit model card

cconvnext-tiny-15ep-1e-4

This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2767
  • Accuracy: 0.9375

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5838 1.0 550 0.4097 0.8811
0.4565 2.0 1100 0.4269 0.8763
0.3628 3.0 1650 0.3464 0.9002
0.2915 4.0 2200 0.3366 0.9066
0.2655 5.0 2750 0.3387 0.9054
0.2395 6.0 3300 0.3313 0.9125
0.2065 7.0 3850 0.3120 0.9181
0.1503 8.0 4400 0.3065 0.9221
0.1503 9.0 4950 0.2948 0.9276
0.1125 10.0 5500 0.2918 0.9304
0.1057 11.0 6050 0.2954 0.9328
0.0937 12.0 6600 0.2959 0.9336
0.0966 13.0 7150 0.2940 0.9352
0.0735 14.0 7700 0.2916 0.9340
0.0881 15.0 8250 0.2902 0.9356

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
4
Safetensors
Model size
27.9M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for vuongnhathien/cconvnext-tiny-15ep-1e-4

Finetuned
(39)
this model

Evaluation results