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vit-estadosfenologicos-384-prueba – AI Model by Ignaciobfp | AlphaNeural AI
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Ignaciobfp
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vit-estadosfenologicos-384-prueba
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch32-384
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-estadosfenologicos-384-prueba
This model is a fine-tuned version of
google/vit-base-patch32-384
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4770
Accuracy: 0.8581
F1: 0.6400
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: 0.0005
train_batch_size: 512
eval_batch_size: 8
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
F1
No log
1.0
12
0.7118
0.7924
0.4248
No log
2.0
24
0.5225
0.8443
0.6155
No log
3.0
36
0.4770
0.8581
0.6400
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
