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vit-base-oxford-iiit-pets

Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. runs/Apr17_11-47-00_ip-10-192-10-241/events.out.tfevents.1744890420.ip-10-192-10-241.1613.6 +2 -2
  4. runs/Apr17_11-47-00_ip-10-192-10-241/events.out.tfevents.1744890871.ip-10-192-10-241.1613.7 +3 -0
README.md CHANGED
@@ -3,7 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: google/vit-base-patch16-224
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  tags:
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- - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -17,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-oxford-iiit-pets
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- This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3930
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  - Accuracy: 0.9337
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  ## Model description
@@ -51,14 +50,14 @@ 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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- | 0.5875 | 1.0 | 185 | 0.5363 | 0.9202 |
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- | 0.4578 | 2.0 | 370 | 0.4862 | 0.9229 |
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- | 0.4804 | 3.0 | 555 | 0.4521 | 0.9242 |
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- | 0.4163 | 4.0 | 740 | 0.4283 | 0.9256 |
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- | 0.4308 | 5.0 | 925 | 0.4116 | 0.9256 |
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- | 0.4552 | 6.0 | 1110 | 0.4006 | 0.9256 |
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- | 0.4156 | 7.0 | 1295 | 0.3944 | 0.9269 |
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- | 0.449 | 8.0 | 1480 | 0.3924 | 0.9269 |
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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
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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-oxford-iiit-pets
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+ This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3079
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  - Accuracy: 0.9337
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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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+ | 0.4044 | 1.0 | 185 | 0.3637 | 0.9310 |
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+ | 0.374 | 2.0 | 370 | 0.3439 | 0.9364 |
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+ | 0.3458 | 3.0 | 555 | 0.3295 | 0.9364 |
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+ | 0.3391 | 4.0 | 740 | 0.3189 | 0.9378 |
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+ | 0.3502 | 5.0 | 925 | 0.3111 | 0.9391 |
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+ | 0.3275 | 6.0 | 1110 | 0.3059 | 0.9391 |
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+ | 0.3369 | 7.0 | 1295 | 0.3028 | 0.9391 |
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+ | 0.3128 | 8.0 | 1480 | 0.3019 | 0.9391 |
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  ### Framework versions
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