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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: timm/mobilenetv3_small_100.lamb_in1k
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tags:
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- timm
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- trackio
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- trackio:https://huggingface.co/spaces/evalstate/trackio
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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: ic-smoke-test
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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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<a href="https://huggingface.co/spaces/evalstate/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
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# ic-smoke-test
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This model is a fine-tuned version of [timm/mobilenetv3_small_100.lamb_in1k](https://huggingface.co/timm/mobilenetv3_small_100.lamb_in1k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0278
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- Accuracy: 0.54
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2.0
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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 | 1.0 | 7 | 1.0294 | 0.58 |
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| No log | 2.0 | 14 | 1.0278 | 0.54 |
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### Framework versions
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- Transformers 5.3.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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