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my_animals_model – AI Model by parotnes | AlphaNeural AI
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parotnes
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my_animals_model
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transformers
tensorboard
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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my_animals_model
This model is a fine-tuned version of
microsoft/resnet-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 2.2858
Accuracy: 0.1566
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-07
train_batch_size: 100
eval_batch_size: 100
seed: 42
gradient_accumulation_steps: 5
total_train_batch_size: 500
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.287
1.0
42
2.2859
0.1595
2.2873
2.0
84
2.2870
0.1610
2.287
3.0
126
2.2858
0.1566
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
