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apple-model-finetuned – AI Model by aliciiavs | AlphaNeural AI
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aliciiavs
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apple-model-finetuned
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transformers
tensorboard
safetensors
mobilevit
image-classification
generated_from_trainer
apple/mobilevit-small
finetune
other
autotrain_compatible
endpoints_compatible
us
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apple-model-finetuned
This model is a fine-tuned version of
apple/mobilevit-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6138
Accuracy: 0.21
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-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 320
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.88
5
1.6144
0.195
1.6109
1.93
11
1.6119
0.23
1.6109
2.98
17
1.6144
0.19
1.6117
3.51
20
1.6138
0.21
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
