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: 0.0104
Recall: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Recall
No log	1.0	9	0.0104	1.0
0.0652	2.0	18	0.0278	0.9857
0.03	3.0	27	0.0007	1.0
0.0156	4.0	36	0.0002	1.0
0.0042	5.0	45	0.0001	1.0

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

kiranshivaraju/convnext-xlarge-224-22k-1k-v13

convnext-xlarge-224-22k-1k-v13

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kiranshivaraju/
convnext-xlarge-224-22k-1k-v13