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Model save

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  1. README.md +9 -12
  2. model.safetensors +1 -1
README.md CHANGED
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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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  - f1
@@ -19,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0429
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  - F1: 0.9705
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 128
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  - eval_batch_size: 64
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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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  ### Training results
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- | Training Loss | Epoch | Step | F1 | Validation Loss |
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- |:-------------:|:-----:|:-----:|:------:|:---------------:|
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- | 0.0796 | 1.0 | 3367 | 0.4973 | 0.0687 |
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- | 0.0611 | 2.0 | 6734 | 0.4973 | 0.0585 |
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- | 0.0581 | 3.0 | 10101 | 0.4973 | 0.0591 |
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- | 0.059 | 4.0 | 13468 | 0.4973 | 0.0550 |
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- | 0.0563 | 5.0 | 16835 | 0.4973 | 0.0540 |
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- | 0.0532 | 5.0 | 19805 | 0.9705 | 0.0429 |
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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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  - f1
 
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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: 0.0446
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  - F1: 0.9705
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 64
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  - eval_batch_size: 64
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.0659 | 1.0 | 3961 | 0.0543 | 0.9705 |
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+ | 0.08 | 2.0 | 7922 | 0.0514 | 0.9705 |
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+ | 0.0598 | 3.0 | 11883 | 0.0524 | 0.9705 |
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+ | 0.0627 | 4.0 | 15844 | 0.0422 | 0.9705 |
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+ | 0.0622 | 5.0 | 19805 | 0.0446 | 0.9705 |
 
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  ### Framework versions
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