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README.md
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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-spiderTraining1000-1000
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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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# convnextv2-tiny-22k-384-finetuned-spiderTraining1000-1000
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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: 0.5648
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- Accuracy: 0.8509
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- Precision: 0.8513
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- Recall: 0.8405
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- F1: 0.8436
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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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- distributed_type: multi-GPU
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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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| 1.8531 | 1.0 | 6858 | 1.3392 | 0.6713 | 0.6983 | 0.6342 | 0.6413 |
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| 1.2682 | 2.0 | 13717 | 0.8656 | 0.7746 | 0.7827 | 0.7572 | 0.7591 |
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| 1.0224 | 3.0 | 20576 | 0.6918 | 0.8165 | 0.8210 | 0.8029 | 0.8059 |
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| 0.9031 | 4.0 | 27435 | 0.6062 | 0.8400 | 0.8426 | 0.8281 | 0.8318 |
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| 0.8482 | 5.0 | 34290 | 0.5648 | 0.8509 | 0.8513 | 0.8405 | 0.8436 |
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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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