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README.md
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---
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license: apache-2.0
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base_model: vuongnhathien/SwinV2-30VNFood
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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-cont-lr
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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-cont-lr
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This model is a fine-tuned version of [vuongnhathien/SwinV2-30VNFood](https://huggingface.co/vuongnhathien/SwinV2-30VNFood) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9419
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- Accuracy: 0.7
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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: linear
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- num_epochs: 10
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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 | 1.0693 | 0.6125 |
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| No log | 2.0 | 20 | 0.8939 | 0.675 |
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| No log | 3.0 | 30 | 1.1355 | 0.7 |
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| No log | 4.0 | 40 | 1.6583 | 0.6625 |
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| No log | 5.0 | 50 | 1.5728 | 0.7 |
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| No log | 6.0 | 60 | 1.4494 | 0.6625 |
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| No log | 7.0 | 70 | 1.3951 | 0.6625 |
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| No log | 8.0 | 80 | 1.7134 | 0.6875 |
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| No log | 9.0 | 90 | 1.5019 | 0.6875 |
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| 0.2446 | 10.0 | 100 | 1.4587 | 0.675 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 110368600
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size 110368600
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runs/May21_07-12-11_2b8299d3c820/events.out.tfevents.1716275711.2b8299d3c820.24.1
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version https://git-lfs.github.com/spec/v1
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size 405
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