End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Visual-Attention-Network/van-tiny
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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: SPIE_MULTICLASS_CHINA_1_2
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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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# SPIE_MULTICLASS_CHINA_1_2
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.1184
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- Accuracy: 0.9617
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 2
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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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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| 0.4991 | 0.9886 | 65 | 0.3683 | 0.8967 |
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| 0.1981 | 1.9924 | 131 | 0.1733 | 0.935 |
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| 0.1855 | 2.9962 | 197 | 0.1410 | 0.95 |
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| 0.1262 | 4.0 | 263 | 0.1118 | 0.9675 |
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| 0.1217 | 4.9430 | 325 | 0.1184 | 0.9617 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 15484808
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version https://git-lfs.github.com/spec/v1
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size 15484808
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