convnextv2-tiny-22k-384-finetuned-Spiders
This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1945
- eval_accuracy: 0.915
- eval_precision: 0.8899
- eval_recall: 0.9510
- eval_f1: 0.9194
- eval_runtime: 9.0512
- eval_samples_per_second: 22.097
- eval_steps_per_second: 1.436
- 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: 2
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Model tree for zkdeng/convnextv2-tiny-22k-384-finetuned-Spiders
Base model
facebook/convnextv2-tiny-22k-384