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zazazaChiang
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vit-base-beans

Image Classification
Transformers
Safetensors
vit
vision
Generated from Trainer
Eval Results
Inference Endpoints
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  1. README.md +10 -12
  2. config.json +0 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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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 [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: 0.0667
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- - Accuracy: 0.9925
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  ## Model description
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@@ -50,13 +48,13 @@ The following hyperparameters were used during training:
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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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- | 0.2797 | 1.0 | 130 | 0.2229 | 0.9624 |
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- | 0.1283 | 2.0 | 260 | 0.1240 | 0.9774 |
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- | 0.1325 | 3.0 | 390 | 0.0953 | 0.9774 |
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- | 0.0809 | 4.0 | 520 | 0.0667 | 0.9925 |
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- | 0.1164 | 5.0 | 650 | 0.0842 | 0.9774 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224-in21k
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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 [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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+ - Accuracy: 0.9774
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+ - Loss: 0.0842
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  ## Model description
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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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+ | 0.2797 | 1.0 | 130 | 0.9624 | 0.2229 |
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+ | 0.1283 | 2.0 | 260 | 0.9774 | 0.1240 |
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+ | 0.1325 | 3.0 | 390 | 0.9774 | 0.0953 |
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+ | 0.0809 | 4.0 | 520 | 0.9925 | 0.0667 |
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+ | 0.1164 | 5.0 | 650 | 0.9774 | 0.0842 |
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  ### Framework versions
config.json CHANGED
@@ -28,7 +28,6 @@
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
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- "problem_type": "single_label_classification",
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.2"
 
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  "num_channels": 3,
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  "num_hidden_layers": 12,
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  "patch_size": 16,
 
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  "qkv_bias": true,
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  "torch_dtype": "float32",
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  "transformers_version": "4.44.2"
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  size 5240
 
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  size 5240