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--- |
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license: apache-2.0 |
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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: resnet-101-finetuned-CivilEng11k |
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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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# resnet-101-finetuned-CivilEng11k |
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This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5490 |
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- Accuracy: 0.8542 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 320 |
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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: 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 | 0.81 | 3 | 1.0724 | 0.5729 | |
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| No log | 1.89 | 7 | 0.9717 | 0.6542 | |
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| 1.0293 | 2.97 | 11 | 0.8594 | 0.6678 | |
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| 1.0293 | 3.78 | 14 | 0.7830 | 0.7017 | |
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| 1.0293 | 4.86 | 18 | 0.6764 | 0.7593 | |
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| 0.78 | 5.95 | 22 | 0.6072 | 0.7831 | |
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| 0.78 | 6.76 | 25 | 0.5745 | 0.8339 | |
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| 0.78 | 7.84 | 29 | 0.5489 | 0.8508 | |
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| 0.6037 | 8.11 | 30 | 0.5490 | 0.8542 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 1.13.1+cpu |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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