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dinov2-base-MEG5-5 – AI Model by crocutacrocuto | AlphaNeural AI
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crocutacrocuto
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dinov2-base-MEG5-5
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transformers
tensorboard
safetensors
dinov2
image-classification
generated_from_trainer
facebook/dinov2-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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dinov2-base-MEG5-5
This model is a fine-tuned version of
facebook/dinov2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6964
Accuracy: 0.8704
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Use 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1774
1.0000
12653
0.6342
0.8221
0.1053
2.0
25307
0.5782
0.8484
0.0592
3.0000
37960
0.5909
0.8606
0.0452
4.0
50614
0.6203
0.8698
0.0121
4.9998
63265
0.6964
0.8704
Framework versions
Transformers 4.46.3
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.20.3
