End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Visual-Attention-Network/van-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: SPIE_MULTICLASS_CHINA_1_0
+  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. -->
+
+# SPIE_MULTICLASS_CHINA_1_0
+
+This model is a fine-tuned version of [Visual-Attention-Network/van-tiny](https://huggingface.co/Visual-Attention-Network/van-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1031
+- Accuracy: 0.965
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 0
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.4684        | 0.9886 | 65   | 0.3592          | 0.89     |
+| 0.22          | 1.9924 | 131  | 0.1755          | 0.9425   |
+| 0.1846        | 2.9962 | 197  | 0.1364          | 0.9633   |
+| 0.1452        | 4.0    | 263  | 0.1289          | 0.9567   |
+| 0.1353        | 4.9430 | 325  | 0.1031          | 0.965    |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0