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Model save

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  1. README.md +9 -9
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  ---
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  license: apache-2.0
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- base_model: facebook/convnextv2-nano-22k-384
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  tags:
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  - generated_from_trainer
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  metrics:
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  # test-augment
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- This model is a fine-tuned version of [facebook/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8620
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- - Accuracy: 0.775
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 10 | 1.1256 | 0.6375 |
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- | No log | 2.0 | 20 | 0.9655 | 0.7125 |
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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/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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  # test-augment
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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: 0.9399
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+ - Accuracy: 0.75
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 40 | 1.1080 | 0.675 |
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+ | No log | 2.0 | 80 | 0.9399 | 0.75 |
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  ### Framework versions