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Parent(s): 5ed6ae1
End of training
Browse files- README.md +28 -9
- model.safetensors +1 -1
README.md
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: msi-resnet-18-pretrain
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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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This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 45.6695
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- eval_samples_per_second: 157.216
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- eval_steps_per_second: 9.831
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- epoch: 2.0
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- step: 3125
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## Model description
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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:
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### Framework versions
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: msi-resnet-18-pretrain
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8675487465181059
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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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This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4121
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- Accuracy: 0.8675
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## Model description
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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: 3
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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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| 0.1724 | 1.0 | 1562 | 0.3597 | 0.8806 |
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| 0.0543 | 2.0 | 3125 | 0.3707 | 0.8875 |
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| 0.0834 | 3.0 | 4686 | 0.4121 | 0.8675 |
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### Framework versions
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model.safetensors
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size 44778700
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