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vit-base-beans

Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Inference Endpoints
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  1. README.md +26 -23
  2. emissions.csv +1 -0
  3. runs/Nov19_22-52-51_ip-10-90-1-182/events.out.tfevents.1732056774.ip-10-90-1-182.3356820.0 +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: 0.7412
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- - Accuracy: 0.8120
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  ## Model description
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@@ -46,27 +44,32 @@ The following hyperparameters were used during training:
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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: 15.0
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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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- | 1.0864 | 1.0 | 130 | 1.0878 | 0.4286 |
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- | 1.0629 | 2.0 | 260 | 1.0594 | 0.5489 |
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- | 1.0434 | 3.0 | 390 | 1.0230 | 0.6767 |
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- | 1.0214 | 4.0 | 520 | 0.9965 | 0.6767 |
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- | 1.0026 | 5.0 | 650 | 0.9569 | 0.7444 |
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- | 0.9753 | 6.0 | 780 | 0.9288 | 0.7820 |
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- | 0.9252 | 7.0 | 910 | 0.8875 | 0.7970 |
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- | 0.9192 | 8.0 | 1040 | 0.8506 | 0.8120 |
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- | 0.9008 | 9.0 | 1170 | 0.8338 | 0.8045 |
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- | 0.8079 | 10.0 | 1300 | 0.8104 | 0.8421 |
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- | 0.8332 | 11.0 | 1430 | 0.7806 | 0.8346 |
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- | 0.8103 | 12.0 | 1560 | 0.7586 | 0.8346 |
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- | 0.8149 | 13.0 | 1690 | 0.7571 | 0.8421 |
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- | 0.8186 | 14.0 | 1820 | 0.7540 | 0.8271 |
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- | 0.7929 | 15.0 | 1950 | 0.7412 | 0.8120 |
 
 
 
 
 
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  ### Framework versions
 
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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: 0.6875
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+ - Accuracy: 0.8647
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  ## Model description
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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: 20.0
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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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+ | 1.0864 | 1.0 | 130 | 0.4286 | 1.0878 |
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+ | 1.0629 | 2.0 | 260 | 0.5489 | 1.0594 |
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+ | 1.0434 | 3.0 | 390 | 0.6767 | 1.0230 |
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+ | 1.0214 | 4.0 | 520 | 0.6767 | 0.9965 |
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+ | 1.0026 | 5.0 | 650 | 0.7444 | 0.9569 |
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+ | 0.9753 | 6.0 | 780 | 0.7820 | 0.9288 |
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+ | 0.9252 | 7.0 | 910 | 0.7970 | 0.8875 |
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+ | 0.9192 | 8.0 | 1040 | 0.8120 | 0.8506 |
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+ | 0.9008 | 9.0 | 1170 | 0.8045 | 0.8338 |
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+ | 0.8079 | 10.0 | 1300 | 0.8421 | 0.8104 |
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+ | 0.8332 | 11.0 | 1430 | 0.8346 | 0.7806 |
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+ | 0.8103 | 12.0 | 1560 | 0.8346 | 0.7586 |
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+ | 0.8149 | 13.0 | 1690 | 0.8421 | 0.7571 |
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+ | 0.8186 | 14.0 | 1820 | 0.8271 | 0.7540 |
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+ | 0.7929 | 15.0 | 1950 | 0.8120 | 0.7412 |
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+ | 0.774 | 16.0 | 2080 | 0.7370 | 0.8496 |
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+ | 0.7613 | 17.0 | 2210 | 0.7059 | 0.8496 |
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+ | 0.7778 | 18.0 | 2340 | 0.6930 | 0.8271 |
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+ | 0.8081 | 19.0 | 2470 | 0.6890 | 0.8647 |
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+ | 0.7916 | 20.0 | 2600 | 0.6875 | 0.8647 |
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  ### Framework versions
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runs/Nov19_22-52-51_ip-10-90-1-182/events.out.tfevents.1732056774.ip-10-90-1-182.3356820.0 CHANGED
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