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vit-base-beans

Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +21 -23
  2. emissions.csv +1 -2
  3. runs/Nov05_18-37-10_ip-10-90-1-182/events.out.tfevents.1730831835.ip-10-90-1-182.2476579.0 +2 -2
README.md CHANGED
@@ -3,8 +3,6 @@ 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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- - image-classification
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- - vision
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -18,10 +16,10 @@ 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 the beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8550
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- - Accuracy: 0.7895
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  ## Model description
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@@ -50,28 +48,28 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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- |:-------------:|:-----:|:----:|:--------:|:---------------:|
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- | 1.0881 | 1.0 | 130 | 0.4135 | 1.0902 |
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- | 1.0716 | 2.0 | 260 | 0.5038 | 1.0685 |
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- | 1.061 | 3.0 | 390 | 0.6241 | 1.0459 |
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- | 1.0514 | 4.0 | 520 | 0.6015 | 1.0407 |
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- | 1.05 | 5.0 | 650 | 0.6767 | 1.0332 |
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- | 1.0357 | 6.0 | 780 | 1.0109 | 0.6541 |
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- | 1.0012 | 7.0 | 910 | 0.9815 | 0.7368 |
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- | 0.9932 | 8.0 | 1040 | 0.9550 | 0.7669 |
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- | 0.9748 | 9.0 | 1170 | 0.9409 | 0.7669 |
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- | 0.9113 | 10.0 | 1300 | 0.9149 | 0.7820 |
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- | 0.9255 | 11.0 | 1430 | 0.8906 | 0.7895 |
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- | 0.8877 | 12.0 | 1560 | 0.8749 | 0.7895 |
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- | 0.9032 | 13.0 | 1690 | 0.8699 | 0.7970 |
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- | 0.9001 | 14.0 | 1820 | 0.8674 | 0.7820 |
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- | 0.8842 | 15.0 | 1950 | 0.8550 | 0.7895 |
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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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  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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  # 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: 0.7389
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+ - Accuracy: 0.8045
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  ## Model description
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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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+ | 1.0863 | 1.0 | 130 | 1.0882 | 0.4286 |
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+ | 1.063 | 2.0 | 260 | 1.0590 | 0.5414 |
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+ | 1.0447 | 3.0 | 390 | 1.0229 | 0.6992 |
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+ | 1.0223 | 4.0 | 520 | 0.9968 | 0.6917 |
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+ | 1.0 | 5.0 | 650 | 0.9575 | 0.7519 |
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+ | 0.9726 | 6.0 | 780 | 0.9298 | 0.7744 |
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+ | 0.9258 | 7.0 | 910 | 0.8871 | 0.8045 |
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+ | 0.9203 | 8.0 | 1040 | 0.8487 | 0.8346 |
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+ | 0.9038 | 9.0 | 1170 | 0.8330 | 0.8120 |
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+ | 0.8112 | 10.0 | 1300 | 0.8084 | 0.8346 |
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+ | 0.8335 | 11.0 | 1430 | 0.7785 | 0.8346 |
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+ | 0.8062 | 12.0 | 1560 | 0.7569 | 0.8346 |
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+ | 0.8141 | 13.0 | 1690 | 0.7536 | 0.8496 |
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+ | 0.8172 | 14.0 | 1820 | 0.7532 | 0.8271 |
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+ | 0.7896 | 15.0 | 1950 | 0.7389 | 0.8045 |
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  ### Framework versions
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+ - Transformers 4.47.0.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
emissions.csv CHANGED
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runs/Nov05_18-37-10_ip-10-90-1-182/events.out.tfevents.1730831835.ip-10-90-1-182.2476579.0 CHANGED
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