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pre_CIDAUTv3 – AI Model by ricardoSLabs | AlphaNeural AI
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ricardoSLabs
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pre_CIDAUTv3
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transformers
tensorboard
safetensors
beit
image-classification
generated_from_trainer
imagefolder
ricardoSLabs/pre_CIDAUTv2
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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pre_CIDAUTv3
This model is a fine-tuned version of
ricardoSLabs/pre_CIDAUTv2
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.1209
Accuracy: 0.9841
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
No log
0.8889
4
0.5177
0.7937
No log
2.0
9
0.3085
0.8889
1.0669
2.8889
13
0.2461
0.8889
1.0669
4.0
18
0.1346
0.9683
0.2558
4.4444
20
0.1209
0.9841
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
