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Hierarchical_Agent_Action

Image Classification
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  1. README.md +43 -31
  2. model.safetensors +1 -1
  3. runs/Dec27_07-48-13_fc6b8939f5d8/events.out.tfevents.1703663294.fc6b8939f5d8.47.2 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -2,7 +2,6 @@
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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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  - generated_from_trainer
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  datasets:
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  - image_folder
@@ -15,7 +14,7 @@ model-index:
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: agent_action_class
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  type: image_folder
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  config: hierarchical-action-agent
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  split: train
@@ -23,7 +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: 0.8215827338129497
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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
@@ -31,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Hierarchical_Agent_Action
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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 agent_action_class dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6022
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- - Accuracy: 0.8216
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  ## Model description
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@@ -59,37 +58,50 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  - mixed_precision_training: Native AMP
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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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- | 2.4733 | 0.81 | 100 | 2.2958 | 0.6173 |
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- | 1.7952 | 1.61 | 200 | 1.6267 | 0.7252 |
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- | 1.409 | 2.42 | 300 | 1.2853 | 0.7525 |
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- | 1.1321 | 3.23 | 400 | 0.9899 | 0.7971 |
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- | 0.9094 | 4.03 | 500 | 0.8828 | 0.8029 |
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- | 0.8552 | 4.84 | 600 | 0.8249 | 0.7885 |
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- | 0.7082 | 5.65 | 700 | 0.8111 | 0.7755 |
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- | 0.5812 | 6.45 | 800 | 0.7087 | 0.8115 |
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- | 0.5714 | 7.26 | 900 | 0.6596 | 0.8158 |
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- | 0.4802 | 8.06 | 1000 | 0.7486 | 0.7813 |
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- | 0.5135 | 8.87 | 1100 | 0.6208 | 0.8259 |
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- | 0.4724 | 9.68 | 1200 | 0.6434 | 0.8129 |
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- | 0.3781 | 10.48 | 1300 | 0.6290 | 0.8187 |
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- | 0.457 | 11.29 | 1400 | 0.6152 | 0.8345 |
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- | 0.4174 | 12.1 | 1500 | 0.6348 | 0.8144 |
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- | 0.3778 | 12.9 | 1600 | 0.6418 | 0.8158 |
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- | 0.3391 | 13.71 | 1700 | 0.6457 | 0.8173 |
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- | 0.309 | 14.52 | 1800 | 0.6429 | 0.8101 |
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- | 0.3543 | 15.32 | 1900 | 0.6086 | 0.8201 |
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- | 0.3232 | 16.13 | 2000 | 0.6375 | 0.8245 |
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- | 0.2687 | 16.94 | 2100 | 0.6282 | 0.8273 |
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- | 0.2551 | 17.74 | 2200 | 0.6022 | 0.8216 |
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- | 0.2711 | 18.55 | 2300 | 0.6056 | 0.8187 |
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- | 0.2371 | 19.35 | 2400 | 0.6058 | 0.8230 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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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:
 
5
  - generated_from_trainer
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  datasets:
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  - image_folder
 
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  name: Image Classification
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  type: image-classification
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  dataset:
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+ name: image_folder
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  type: image_folder
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  config: hierarchical-action-agent
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  split: train
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8330935251798561
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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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31
  # Hierarchical_Agent_Action
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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 image_folder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6262
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+ - Accuracy: 0.8331
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  ## Model description
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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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  - lr_scheduler_type: linear
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+ - num_epochs: 30
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  - mixed_precision_training: Native AMP
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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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+ | 2.4407 | 0.81 | 100 | 2.2716 | 0.6058 |
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+ | 1.7756 | 1.61 | 200 | 1.6162 | 0.7065 |
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+ | 1.3948 | 2.42 | 300 | 1.2200 | 0.7698 |
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+ | 1.131 | 3.23 | 400 | 1.0012 | 0.7856 |
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+ | 0.9239 | 4.03 | 500 | 0.9055 | 0.7827 |
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+ | 0.8699 | 4.84 | 600 | 0.8103 | 0.7827 |
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+ | 0.6707 | 5.65 | 700 | 0.7610 | 0.7842 |
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+ | 0.6206 | 6.45 | 800 | 0.7312 | 0.7885 |
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+ | 0.5795 | 7.26 | 900 | 0.6989 | 0.8101 |
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+ | 0.4914 | 8.06 | 1000 | 0.7066 | 0.7813 |
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+ | 0.5087 | 8.87 | 1100 | 0.6398 | 0.8187 |
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+ | 0.4373 | 9.68 | 1200 | 0.6293 | 0.8043 |
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+ | 0.4365 | 10.48 | 1300 | 0.6726 | 0.7971 |
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+ | 0.4517 | 11.29 | 1400 | 0.6047 | 0.8245 |
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+ | 0.4114 | 12.1 | 1500 | 0.6088 | 0.8230 |
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+ | 0.426 | 12.9 | 1600 | 0.6165 | 0.8201 |
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+ | 0.3456 | 13.71 | 1700 | 0.6133 | 0.8259 |
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+ | 0.332 | 14.52 | 1800 | 0.6736 | 0.8201 |
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+ | 0.3646 | 15.32 | 1900 | 0.6406 | 0.8173 |
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+ | 0.3287 | 16.13 | 2000 | 0.6978 | 0.7971 |
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+ | 0.2793 | 16.94 | 2100 | 0.6433 | 0.8173 |
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+ | 0.2924 | 17.74 | 2200 | 0.6474 | 0.8144 |
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+ | 0.2605 | 18.55 | 2300 | 0.6279 | 0.8288 |
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+ | 0.2016 | 19.35 | 2400 | 0.6361 | 0.8216 |
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+ | 0.2524 | 20.16 | 2500 | 0.6394 | 0.8259 |
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+ | 0.2017 | 20.97 | 2600 | 0.6683 | 0.8158 |
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+ | 0.2082 | 21.77 | 2700 | 0.6389 | 0.8345 |
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+ | 0.2751 | 22.58 | 2800 | 0.6141 | 0.8374 |
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+ | 0.207 | 23.39 | 2900 | 0.6052 | 0.8259 |
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+ | 0.1791 | 24.19 | 3000 | 0.6332 | 0.8230 |
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+ | 0.1719 | 25.0 | 3100 | 0.5942 | 0.8403 |
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+ | 0.1685 | 25.81 | 3200 | 0.6121 | 0.8360 |
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+ | 0.1557 | 26.61 | 3300 | 0.6237 | 0.8345 |
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+ | 0.1694 | 27.42 | 3400 | 0.6372 | 0.8317 |
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+ | 0.1927 | 28.23 | 3500 | 0.6378 | 0.8273 |
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+ | 0.1375 | 29.03 | 3600 | 0.6258 | 0.8331 |
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+ | 0.1653 | 29.84 | 3700 | 0.6262 | 0.8331 |
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  ### Framework versions
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