This model is a fine-tuned version of kiranshivaraju/resnet-50-pac_aug on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6055
Recall: 0.0

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.6335	1.0	15	0.6352
0.643	2.0	30	0.6276
0.6434	3.0	45	0.6228
0.6305	4.0	60	0.6156
0.6339	5.0	75	0.6167
0.6346	6.0	90	0.6112
0.6235	7.0	105	0.6095
0.6279	8.0	120	0.6082
0.6241	9.0	135	0.6073
0.6233	10.0	150	0.6055

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1