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convnextv2-tiny-22k-384-0.005-finetuned-spiderTraining50-200
zkdeng/convnextv2-tiny-22k-384-0.005-finetuned-spiderTraining50-200
convnextv2-tiny-22k-384-0.005-finetuned-spiderTraining50-200 is a machine learning model from zkdeng. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- convnextv2
- Access
- Public
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024
- SHA
- 6e743453
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
convnextv2-tiny-22k-384-0.005-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: 3.9169
- Accuracy: 0.0120
- Precision: 0.0002
- 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: 0.005
- 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 |
|---|---|---|---|---|---|---|---|
| 3.9438 | 1.0 | 125 | 3.9681 | 0.0190 | 0.0004 | 0.02 | 0.0007 |
| 3.9329 | 2.0 | 250 | 3.9545 | 0.0230 | 0.0005 | 0.02 | 0.0009 |
| 3.9277 | 3.0 | 375 | 3.9273 | 0.0230 | 0.0005 | 0.02 | 0.0009 |
| 3.9193 | 4.0 | 500 | 3.9167 | 0.0150 | 0.0003 | 0.02 | 0.0006 |
| 3.9155 | 5.0 | 625 | 3.9169 | 0.0120 | 0.0002 | 0.02 | 0.0005 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Type
- convnextv2
- License
- apache-2.0
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024