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beit_large512_fine_tuned – AI Model by Thamer | AlphaNeural AI
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Thamer
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beit_large512_fine_tuned
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transformers
pytorch
tensorboard
beit
image-classification
generated_from_trainer
AI-Lab-Makerere/beans
microsoft/beit-base-patch16-384
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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beit_large512_fine_tuned
This model is a fine-tuned version of
microsoft/beit-base-patch16-384
on the beans dataset. It achieves the following results on the evaluation set:
Loss: 0.0353
Accuracy: 0.9925
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.6571
0.98
16
0.3870
0.8722
0.2299
1.97
32
0.0632
0.9850
0.1435
2.95
48
0.0353
0.9925
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.13.1
Tokenizers 0.13.3
