convnext-base-224-22k-finetuned-combinedSpiders
This model is a fine-tuned version of facebook/convnext-base-224-22k on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5055
- eval_accuracy: 0.8606
- eval_precision: 0.7626
- eval_recall: 0.6524
- eval_f1: 0.6879
- eval_runtime: 165.6691
- eval_samples_per_second: 162.481
- eval_steps_per_second: 10.159
- step: 0
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for zkdeng/convnext-base-224-22k-finetuned-combinedSpiders
Base model
facebook/convnext-base-224-22k