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paper_model_DP_1 – AI Model by ricardoSLabs | AlphaNeural AI
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paper_model_DP_1
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transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
jordyvl/resnet50_rvl-cdip
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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paper_model_DP_1
This model is a fine-tuned version of
jordyvl/resnet50_rvl-cdip
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0283
Accuracy: 0.9924
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1263
0.9954
162
0.0981
0.9622
0.0733
1.9969
325
0.0436
0.9891
0.0491
2.9985
488
0.0276
0.9874
0.0286
4.0
651
0.0266
0.9908
0.0321
4.9770
810
0.0283
0.9924
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
