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finetuned_model – AI Model by ForumCore | AlphaNeural AI
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ForumCore
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finetuned_model
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transformers
safetensors
vit
image-classification
generated_from_trainer
ForumCore/finetuned_model
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned_model
This model is a fine-tuned version of
DotCheck/finetuned_model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0103
Accuracy: 0.9969
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: 256
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
282
0.0147
0.9946
0.0887
2.0
564
0.0100
0.9967
0.0887
3.0
846
0.0103
0.9969
Framework versions
Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
