Model save

README.md

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+---
+license: apache-2.0
+base_model: vuongnhathien/SwinV2-30VNFood
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: test-cont-lr
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test-cont-lr
+
+This model is a fine-tuned version of [vuongnhathien/SwinV2-30VNFood](https://huggingface.co/vuongnhathien/SwinV2-30VNFood) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9419
+- Accuracy: 0.7
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 10   | 1.0693          | 0.6125   |
+| No log        | 2.0   | 20   | 0.8939          | 0.675    |
+| No log        | 3.0   | 30   | 1.1355          | 0.7      |
+| No log        | 4.0   | 40   | 1.6583          | 0.6625   |
+| No log        | 5.0   | 50   | 1.5728          | 0.7      |
+| No log        | 6.0   | 60   | 1.4494          | 0.6625   |
+| No log        | 7.0   | 70   | 1.3951          | 0.6625   |
+| No log        | 8.0   | 80   | 1.7134          | 0.6875   |
+| No log        | 9.0   | 90   | 1.5019          | 0.6875   |
+| 0.2446        | 10.0  | 100  | 1.4587          | 0.675    |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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runs/May21_07-12-11_2b8299d3c820/events.out.tfevents.1716275711.2b8299d3c820.24.1

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