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Model save

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README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: facebook/convnextv2-base-22k-384
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  tags:
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- - image-classification
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  - generated_from_trainer
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  datasets:
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  - imagefolder
 
 
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  model-index:
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  - name: ConvnextV2-base
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -16,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # ConvnextV2-base
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- This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the vuongnhathien/30VNFoods dataset.
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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  - train_batch_size: 32
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- - eval_batch_size: 8
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  - seed: 42
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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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  - num_epochs: 10
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  ### Framework versions
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  - Transformers 4.39.3
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/convnextv2-tiny-22k-384
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: ConvnextV2-base
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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: imagefolder
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+ type: imagefolder
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+ config: default
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+ split: validation
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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: 0.9192460317460317
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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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  # ConvnextV2-base
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+ This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4650
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+ - Accuracy: 0.9192
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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  - train_batch_size: 32
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+ - eval_batch_size: 16
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  - seed: 42
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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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  - num_epochs: 10
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5453 | 1.0 | 550 | 0.5385 | 0.8465 |
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+ | 0.3201 | 2.0 | 1100 | 0.5494 | 0.8465 |
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+ | 0.1818 | 3.0 | 1650 | 0.4973 | 0.8732 |
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+ | 0.0974 | 4.0 | 2200 | 0.5644 | 0.8652 |
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+ | 0.059 | 5.0 | 2750 | 0.5624 | 0.8891 |
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+ | 0.0371 | 6.0 | 3300 | 0.6428 | 0.8755 |
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+ | 0.0118 | 7.0 | 3850 | 0.5426 | 0.9026 |
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+ | 0.0169 | 8.0 | 4400 | 0.4927 | 0.9161 |
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+ | 0.0103 | 9.0 | 4950 | 0.5011 | 0.9105 |
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+ | 0.0017 | 10.0 | 5500 | 0.4820 | 0.9165 |
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+
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+
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  ### Framework versions
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  - Transformers 4.39.3
runs/May21_07-05-08_4c3fb2c5458c/events.out.tfevents.1716286429.4c3fb2c5458c.25.1 ADDED
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