metadata

license: apache-2.0
base_model: microsoft/resnet-50
tags:
  - generated_from_trainer
model-index:
  - name: resnet-50-finetuned-combinedSpiders
    results: []

resnet-50-finetuned-combinedSpiders

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

eval_loss: 0.3794
eval_accuracy: 0.8996
eval_precision: 0.8983
eval_recall: 0.8934
eval_f1: 0.8943
eval_runtime: 14.9052
eval_samples_per_second: 181.145
eval_steps_per_second: 11.338
step: 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: 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: 4

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1