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zkdeng/
t5spiders

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t5spiders

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: 0.4612
Accuracy: 0.9
Precision: 0.9035
Recall: 0.9103
F1: 0.9024

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
No log	0.96	6	1.1803	0.68	0.6789	0.6869	0.6751
1.3235	1.92	12	0.7862	0.84	0.8603	0.8570	0.8388
1.3235	2.88	18	0.5749	0.9	0.9035	0.9103	0.9024
0.6609	4.0	25	0.4798	0.9	0.9035	0.9103	0.9024
0.43	4.8	30	0.4612	0.9	0.9035	0.9103	0.9024

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3

zkdeng/t5spiders

t5spiders

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zkdeng/
t5spiders