You can deploy this model and start earning money today!

zkdeng/
convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200

Name: convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200
Availability: InStock

pytorch

convnextv2

generated_from_trainer

facebook/convnextv2-tiny-22k-384

finetune

apache-2.0

Views

No views yet

convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200

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:

Loss: 3.9245
Accuracy: 0.0130
Precision: 0.0003
Recall: 0.02
F1: 0.0005

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: 0.05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
4.0774	1.0	125	4.0954	0.0140	0.0003	0.02	0.0006
4.028	2.0	250	4.0415	0.0180	0.0004	0.02	0.0007
3.9495	3.0	375	3.9851	0.0140	0.0003	0.02	0.0006
3.9533	4.0	500	3.9242	0.0210	0.0004	0.02	0.0008
3.9196	5.0	625	3.9245	0.0130	0.0003	0.02	0.0005

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

zkdeng/convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200

convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zkdeng/
convnextv2-tiny-22k-384-0.05-finetuned-spiderTraining50-200