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bit-50 – AI Model by HorcruxNo13 | AlphaNeural AI
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HorcruxNo13
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bit-50
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transformers
pytorch
bit
image-classification
generated_from_trainer
imagefolder
google/bit-50
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Model card
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bit-50
This model is a fine-tuned version of
google/bit-50
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.5768
Accuracy: 0.73
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
8
0.8910
0.3625
4.9941
2.0
16
0.5701
0.7333
0.6029
3.0
24
0.5637
0.7333
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
