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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 +13 -15
  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
@@ -18,9 +16,9 @@ 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: 1.2664
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  - Accuracy: 0.3308
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  ## Model description
@@ -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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- | 0.6323 | 1.0 | 130 | 0.3851 | 0.8722 |
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- | 0.4102 | 2.0 | 260 | 1.1072 | 0.6241 |
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- | 0.8964 | 3.0 | 390 | 0.8284 | 0.6617 |
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- | 1.155 | 4.0 | 520 | 1.1070 | 0.3383 |
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- | 1.1069 | 5.0 | 650 | 1.1082 | 0.3308 |
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- | 1.1748 | 6.0 | 780 | 1.1042 | 0.3308 |
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- | 1.1514 | 7.0 | 910 | 1.1008 | 0.3308 |
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- | 1.0956 | 8.0 | 1040 | 1.1005 | 0.3383 |
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- | 1.1448 | 9.0 | 1170 | 1.1119 | 0.3308 |
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- | 1.0991 | 10.0 | 1300 | 1.0983 | 0.3308 |
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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: 1.0989
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  - Accuracy: 0.3308
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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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+ | 0.4537 | 1.0 | 130 | 0.2309 | 0.8947 |
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+ | 0.5034 | 2.0 | 260 | 1.0888 | 0.6165 |
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+ | 0.506 | 3.0 | 390 | 0.9556 | 0.5714 |
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+ | 1.1528 | 4.0 | 520 | 1.1074 | 0.3308 |
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+ | 1.1076 | 5.0 | 650 | 1.1008 | 0.3308 |
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+ | 1.1148 | 6.0 | 780 | 1.1019 | 0.3308 |
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+ | 1.1026 | 7.0 | 910 | 1.1080 | 0.3308 |
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+ | 1.1073 | 8.0 | 1040 | 1.0986 | 0.3308 |
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+ | 1.1009 | 9.0 | 1170 | 1.0999 | 0.3383 |
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+ | 1.1081 | 10.0 | 1300 | 1.0989 | 0.3308 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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