vuongnhathien
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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-nano-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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model-index:
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- name: test-seed-new
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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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# test-seed-new
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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: 0.4140
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- Accuracy: 0.875
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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: 0.0003
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- train_batch_size: 64
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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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 10 | 0.5266 | 0.8 |
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| No log | 2.0 | 20 | 0.3692 | 0.85 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/May22_13-35-31_1f0456bc46bc/events.out.tfevents.1716384986.1f0456bc46bc.34.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:42f2177f7793ed3fb44c45d68130f2db27056943b644766ddd4916fe1e791d1f
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size 405
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