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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: 1.0987
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- - Accuracy: 0.3383
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  ## Model description
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@@ -52,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.9625 | 1.0 | 130 | 1.1997 | 0.3383 |
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- | 1.2026 | 2.0 | 260 | 1.1205 | 0.3308 |
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- | 1.1354 | 3.0 | 390 | 1.0991 | 0.3308 |
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- | 1.1071 | 4.0 | 520 | 1.1013 | 0.3308 |
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- | 1.102 | 5.0 | 650 | 1.0997 | 0.3308 |
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- | 1.1064 | 6.0 | 780 | 1.0998 | 0.3383 |
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- | 1.1008 | 7.0 | 910 | 1.0999 | 0.3308 |
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- | 1.1015 | 8.0 | 1040 | 1.0988 | 0.3308 |
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- | 1.0998 | 9.0 | 1170 | 1.1043 | 0.3308 |
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- | 1.1085 | 10.0 | 1300 | 1.0987 | 0.3383 |
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  ### Framework versions
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- - PEFT 0.12.1.dev0
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  - Transformers 4.44.0
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.20.0
 
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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: 0.1528
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+ - Accuracy: 0.9474
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4846 | 1.0 | 130 | 0.0752 | 0.9624 |
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+ | 0.3473 | 2.0 | 260 | 0.1599 | 0.9549 |
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+ | 0.2953 | 3.0 | 390 | 0.1192 | 0.9549 |
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+ | 0.2653 | 4.0 | 520 | 0.1393 | 0.9398 |
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+ | 0.2344 | 5.0 | 650 | 0.1001 | 0.9624 |
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+ | 0.21 | 6.0 | 780 | 0.0893 | 0.9624 |
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+ | 0.3117 | 7.0 | 910 | 0.1933 | 0.9248 |
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+ | 0.2459 | 8.0 | 1040 | 0.1901 | 0.9248 |
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+ | 0.25 | 9.0 | 1170 | 0.0868 | 0.9699 |
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+ | 0.2038 | 10.0 | 1300 | 0.1528 | 0.9474 |
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  ### Framework versions
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+ - PEFT 0.12.0
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  - Transformers 4.44.0
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.20.0
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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