convnext-large-224-attempt-m

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: 0.0928
• Accuracy: 0.9725

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
0.4045	0.99	33	0.2494	0.9471
0.143	1.98	66	0.1107	0.9641
0.1086	2.98	99	0.0928	0.9725

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3