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  1. README.md +8 -19
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  ---
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  license: apache-2.0
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- base_model: zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000
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  tags:
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  - generated_from_trainer
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- metrics:
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- - accuracy
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- - precision
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- - recall
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- - f1
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  model-index:
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  - name: 1-finetuned-spiderTraining5-100
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  results: []
@@ -18,13 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # 1-finetuned-spiderTraining5-100
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- This model is a fine-tuned version of [zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000](https://huggingface.co/zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0258
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- - Accuracy: 1.0
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- - Precision: 1.0
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- - Recall: 1.0
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- - F1: 1.0
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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- - train_batch_size: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 32
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
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- | 0.1375 | 0.96 | 12 | 0.0258 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/convnext-tiny-224
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  tags:
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: 1-finetuned-spiderTraining5-100
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  results: []
 
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  # 1-finetuned-spiderTraining5-100
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+ This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
 
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 0.57 | 1 | 1.5993 | 0.22 | 0.2497 | 0.2369 | 0.2216 |
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  ### Framework versions