End of training

README.md

@@ -0,0 +1,68 @@
+---
+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_2_4
+  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_2_4
+
+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: 0.3826
+- Accuracy: 0.8851
+
+## 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: 4
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.7717        | 0.96   | 18   | 1.1875          | 0.68     |
+| 0.953         | 1.9733 | 37   | 0.6558          | 0.8175   |
+| 0.5564        | 2.9867 | 56   | 0.4640          | 0.8642   |
+| 0.4218        | 4.0    | 75   | 0.3893          | 0.8838   |
+| 0.3865        | 4.8    | 90   | 0.3826          | 0.8851   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0