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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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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: convnextv2-tiny-22k-384-finetuned-spiderTraining100-100 |
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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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# convnextv2-tiny-22k-384-finetuned-spiderTraining100-100 |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3480 |
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- Accuracy: 0.708 |
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- Precision: 0.7226 |
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- Recall: 0.7142 |
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- F1: 0.6994 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 5 |
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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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| 3.5765 | 1.0 | 125 | 3.3326 | 0.293 | 0.3422 | 0.2932 | 0.2604 | |
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| 2.29 | 2.0 | 250 | 2.1112 | 0.539 | 0.5769 | 0.5460 | 0.5180 | |
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| 1.8212 | 3.0 | 375 | 1.6097 | 0.657 | 0.6790 | 0.6674 | 0.6465 | |
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| 1.4779 | 4.0 | 500 | 1.4234 | 0.688 | 0.7060 | 0.6974 | 0.6802 | |
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| 1.3378 | 5.0 | 625 | 1.3480 | 0.708 | 0.7226 | 0.7142 | 0.6994 | |
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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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