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Raihan004
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Action_model

Image Classification
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vit
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  1. README.md +16 -10
  2. model.safetensors +1 -1
  3. runs/Apr17_12-23-55_b85bd6c644ee/events.out.tfevents.1713356736.b85bd6c644ee.34.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8085714285714286
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6364
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- - Accuracy: 0.8086
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -65,12 +65,18 @@ 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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- | 1.1604 | 0.32 | 100 | 1.0592 | 0.7571 |
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- | 0.8165 | 0.64 | 200 | 0.7481 | 0.8029 |
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- | 0.6333 | 0.96 | 300 | 0.7136 | 0.7886 |
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- | 0.5122 | 1.27 | 400 | 0.6776 | 0.8010 |
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- | 0.4711 | 1.59 | 500 | 0.6334 | 0.8143 |
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- | 0.4339 | 1.91 | 600 | 0.6364 | 0.8086 |
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7676190476190476
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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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 imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7365
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+ - Accuracy: 0.7676
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.3489 | 0.16 | 100 | 1.2612 | 0.7 |
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+ | 1.0112 | 0.32 | 200 | 0.9050 | 0.7590 |
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+ | 0.7962 | 0.48 | 300 | 0.8522 | 0.7505 |
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+ | 0.6383 | 0.64 | 400 | 0.8676 | 0.7219 |
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+ | 0.6485 | 0.8 | 500 | 0.8052 | 0.7324 |
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+ | 0.5452 | 0.96 | 600 | 0.7120 | 0.7848 |
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+ | 0.4882 | 1.11 | 700 | 0.7478 | 0.7714 |
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+ | 0.3409 | 1.27 | 800 | 0.7311 | 0.7743 |
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+ | 0.4105 | 1.43 | 900 | 0.7353 | 0.7810 |
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+ | 0.4011 | 1.59 | 1000 | 0.8154 | 0.7457 |
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+ | 0.3493 | 1.75 | 1100 | 0.7398 | 0.7752 |
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+ | 0.3389 | 1.91 | 1200 | 0.7365 | 0.7676 |
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  ### Framework versions
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