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results – AI Model by sezer12138 | AlphaNeural AI
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sezer12138
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results
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transformers
pytorch
swinv2
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
microsoft/swinv2-large-patch4-window12-192-22k
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5248
Accuracy: 0.6505
Model description
On ADE20K Dataset, do image classification.
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
2.8495
1.0
158
2.3313
0.5525
1.8825
2.0
316
1.6815
0.623
1.4956
3.0
474
1.5248
0.6505
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
