resnet50

This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 8.2042
• Accuracy: 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: 0.0001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 320
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.8491	1.0	1	8.1612	0.0
6.7309	2.0	2	7.3393	0.0
6.8199	3.0	3	7.9807	0.0
6.8118	4.0	4	8.6801	0.0
6.7573	5.0	5	8.2042	0.0

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1
• Datasets 2.6.0
• Tokenizers 0.13.1