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Browse files- README.md +65 -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: timm/resnet18.a1_in1k
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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: test-timm
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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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# test-timm
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This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5302
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- Accuracy: 0.6811
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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- optimizer: Use adamw_torch 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: 5.0
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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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| 0.6138 | 1.0 | 180 | 0.6002 | 0.6811 |
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| 0.5028 | 2.0 | 360 | 0.5529 | 0.6811 |
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| 0.5103 | 3.0 | 540 | 0.5325 | 0.6811 |
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| 0.4892 | 4.0 | 720 | 0.5247 | 0.6811 |
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| 0.5779 | 5.0 | 900 | 0.5302 | 0.6811 |
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 44760840
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3ec918e02960e077d28812d90bb351979e762314f2d3d14ffeb3f7823db938c
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size 44760840
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