imagenet-tiger

This model is a fine-tuned version of tigeryi/imagenet1k on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6595
• Accuracy: 0.8254

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0771	1.0	1250	0.7663	0.7971
0.8206	2.0	2500	0.6772	0.8207
0.7212	3.0	3750	0.6595	0.8254

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1