Model save
Browse files- README.md +87 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/convnextv2-base-22k-224
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tags:
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- generated_from_trainer
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datasets:
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- image_folder
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metrics:
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- accuracy
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model-index:
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- name: convnextv2-base-22k-224-finetuned-hand_class
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: image_folder
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type: image_folder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7336683417085427
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# convnextv2-base-22k-224-finetuned-hand_class
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the image_folder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5846
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- Accuracy: 0.7337
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6258 | 1.0 | 14 | 0.5879 | 0.7136 |
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| 0.5574 | 2.0 | 28 | 0.5707 | 0.7286 |
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| 0.5062 | 3.0 | 42 | 0.5633 | 0.7186 |
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| 0.4812 | 4.0 | 56 | 0.5761 | 0.7136 |
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| 0.4418 | 5.0 | 70 | 0.5644 | 0.7312 |
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| 0.4167 | 6.0 | 84 | 0.5756 | 0.7236 |
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| 0.4091 | 7.0 | 98 | 0.5751 | 0.7337 |
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| 0.379 | 8.0 | 112 | 0.5727 | 0.7312 |
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| 0.3717 | 9.0 | 126 | 0.5877 | 0.7387 |
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| 0.346 | 10.0 | 140 | 0.5846 | 0.7337 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 350911805
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version https://git-lfs.github.com/spec/v1
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oid sha256:150cbb39ea5f8a44b3e4ccfcf1610275a0344dd5b28c6cd102ab36c545b5027d
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size 350911805
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