Model save
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README.md
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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: 3-10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000-finetuned-spiderTraining100-1000
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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
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should probably proofread and complete it, then remove this comment. -->
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# 3-10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000-finetuned-spiderTraining100-1000
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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: 0.1305
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- Accuracy: 0.9623
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- Precision: 0.9628
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- Recall: 0.9625
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- F1: 0.9623
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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: 0.0005
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- train_batch_size: 27
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- eval_batch_size: 27
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 108
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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: 3
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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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| 0.558 | 1.0 | 740 | 0.2587 | 0.9239 | 0.9277 | 0.9235 | 0.9238 |
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| 0.4179 | 2.0 | 1481 | 0.1747 | 0.9482 | 0.9493 | 0.9488 | 0.9483 |
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| 0.3482 | 3.0 | 2220 | 0.1305 | 0.9623 | 0.9628 | 0.9625 | 0.9623 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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