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only-lora-beans-vit-base-patch16-224-in21k

Image Classification
PEFT
Safetensors
vit
vision
Generated from Trainer
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  1. README.md +14 -16
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -5,8 +5,6 @@ license: apache-2.0
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  metrics:
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  - accuracy
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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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  model-index:
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  - name: only-lora-beans-vit-base-patch16-224-in21k
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # only-lora-beans-vit-base-patch16-224-in21k
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- This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9381
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- - Accuracy: 0.5414
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  ## Model description
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@@ -45,23 +43,23 @@ The following hyperparameters were used during training:
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  - eval_batch_size: 8
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  - seed: 1337
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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  - num_epochs: 10.0
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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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- | 1.1019 | 1.0 | 130 | 1.0956 | 0.3008 |
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- | 1.0934 | 2.0 | 260 | 1.0218 | 0.5414 |
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- | 1.0541 | 3.0 | 390 | 0.9863 | 0.5038 |
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- | 0.9911 | 4.0 | 520 | 0.9628 | 0.5338 |
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- | 0.9776 | 5.0 | 650 | 0.9638 | 0.5414 |
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- | 0.9852 | 6.0 | 780 | 0.9599 | 0.5414 |
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- | 0.9666 | 7.0 | 910 | 0.9483 | 0.5639 |
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- | 0.9528 | 8.0 | 1040 | 0.9447 | 0.5414 |
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- | 0.9583 | 9.0 | 1170 | 0.9395 | 0.5338 |
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- | 0.9401 | 10.0 | 1300 | 0.9381 | 0.5414 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: only-lora-beans-vit-base-patch16-224-in21k
 
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  # only-lora-beans-vit-base-patch16-224-in21k
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+ This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0774
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+ - Accuracy: 0.4135
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  ## Model description
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  - eval_batch_size: 8
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  - seed: 1337
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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  - num_epochs: 10.0
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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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+ | 1.0208 | 1.0 | 130 | 0.8931 | 0.8045 |
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+ | 0.8683 | 2.0 | 260 | 0.6855 | 0.8797 |
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+ | 0.7297 | 3.0 | 390 | 0.5009 | 0.9023 |
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+ | 0.4881 | 4.0 | 520 | 0.3685 | 0.9323 |
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+ | 0.3733 | 5.0 | 650 | 0.3044 | 0.8872 |
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+ | 0.3229 | 6.0 | 780 | 0.3874 | 0.8647 |
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+ | 0.5796 | 7.0 | 910 | 0.7966 | 0.5940 |
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+ | 0.765 | 8.0 | 1040 | 0.9422 | 0.5263 |
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+ | 1.0732 | 9.0 | 1170 | 1.0904 | 0.3308 |
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+ | 1.1643 | 10.0 | 1300 | 1.0774 | 0.4135 |
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  ### Framework versions
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