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zkdeng/
t20spiders-1000

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t20spiders-1000

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: 0.1862
Accuracy: 0.9400
Precision: 0.9412
Recall: 0.9401
F1: 0.9403

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6303	1.0	250	0.4444	0.8729	0.8811	0.8735	0.8734
0.4303	2.0	500	0.2761	0.9135	0.9162	0.9136	0.9136
0.3779	3.0	750	0.2324	0.9245	0.9263	0.9252	0.9248
0.3067	4.0	1000	0.1997	0.9360	0.9378	0.9358	0.9363
0.2619	5.0	1250	0.1862	0.9400	0.9412	0.9401	0.9403

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

zkdeng/t20spiders-1000

t20spiders-1000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zkdeng/
t20spiders-1000