README.md

metadata

library_name: transformers
license: apache-2.0
base_model: facebook/convnext-xlarge-224-22k-1k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: convnext-xlarge-224-22k-1k-v12-d-v_6_p2
    results: []

convnext-xlarge-224-22k-1k-v12-d-v_6_p2

This model is a fine-tuned version of facebook/convnext-xlarge-224-22k-1k on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0156
• Accuracy: 1.0

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	0.1719	0.9127
0.3998	2.0	18	0.0809	0.9603
0.0664	3.0	27	0.0156	1.0

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3