metadata

license: apache-2.0
base_model: Nubletz/msi-resnet-pretrain
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: msi-resnet-50
    results: []

msi-resnet-50

This model is a fine-tuned version of Nubletz/msi-resnet-pretrain on the imagefolder dataset. It achieves the following results on the evaluation set:

eval_loss: 29628148372356011655168.0000
eval_accuracy: 0.5662
eval_runtime: 362.9719
eval_samples_per_second: 78.838
eval_steps_per_second: 4.929
epoch: 5.0
step: 10078

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: 1e-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: 10

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0