This model is a fine-tuned version of microsoft/resnet-18 on the pokemon-classification dataset. It achieves the following results on the evaluation set:

Loss: 6.8019
Accuracy: 0.0108

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
4.275	1.0	76	6.1680	0.0014
3.3896	1.99	152	6.6421	0.0115
3.0563	2.99	228	6.8019	0.0108

Framework versions

Transformers 4.29.1
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3

jroberts/my_awesome_pokemon_model_resnet18

my_awesome_pokemon_model_resnet18

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jroberts/
my_awesome_pokemon_model_resnet18