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seesaw – AI Model by zkdeng | AlphaNeural AI
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zkdeng
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seesaw
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pytorch
convnext
generated_from_trainer
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seesaw
This model is a fine-tuned version of
on an unknown dataset.
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
9
2.4778
0.5
0.3378
Framework versions
Transformers 4.33.2
Pytorch 2.2.0.dev20230921
Datasets 2.14.5
Tokenizers 0.13.3
