vuongnhathien
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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: facebook/convnextv2-
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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-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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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:
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- train_batch_size:
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- eval_batch_size:
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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 |
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| No log | 2.0 |
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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/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
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