Model save
Browse files- README.md +65 -0
- emissions.csv +2 -0
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: vit-base-beans
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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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# vit-base-beans
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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: 1.0332
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- Accuracy: 0.6767
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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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| 1.0881 | 1.0 | 130 | 1.0902 | 0.4135 |
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| 1.0716 | 2.0 | 260 | 1.0685 | 0.5038 |
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| 1.061 | 3.0 | 390 | 1.0459 | 0.6241 |
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| 1.0514 | 4.0 | 520 | 1.0407 | 0.6015 |
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| 1.05 | 5.0 | 650 | 1.0332 | 0.6767 |
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.1+cu118
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- Datasets 2.21.0
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- Tokenizers 0.20.0
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2024-11-01T14:18:46,07ffedcb-5195-4377-b88d-6297e892be36,codecarbon,46.515151500701904,0.0005615825776541223,0.0015213499779214413,United States,USA,virginia,N,,
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