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kpalczewski-displate
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category_cleaning

Zero-Shot Image Classification
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  1. README.md +15 -8
  2. model.safetensors +1 -1
  3. runs/Mar08_15-17-04_9da45c1bcf23/events.out.tfevents.1709911030.9da45c1bcf23.91952.0 +2 -2
README.md CHANGED
@@ -2,7 +2,7 @@
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  tags:
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  - generated_from_trainer
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  datasets:
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- - Displate/category_cleaning
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  model-index:
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  - name: category_cleaning
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  results: []
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # category_cleaning
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- This model was trained from scratch on the Displate/category_cleaning dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7922
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  ## Model description
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@@ -40,16 +40,23 @@ 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: 20.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.5458 | 5.0 | 10 | 1.9921 |
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- | 0.7085 | 10.0 | 20 | 2.8140 |
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- | 0.6106 | 15.0 | 30 | 2.8044 |
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- | 0.5148 | 20.0 | 40 | 2.7922 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
5
+ - category_cleaning
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  model-index:
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  - name: category_cleaning
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  results: []
 
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  # category_cleaning
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+ This model was trained from scratch on the category_cleaning dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.5610
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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: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.0173 | 0.26 | 100 | 4.2489 |
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+ | 2.8146 | 0.51 | 200 | 4.2605 |
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+ | 2.7177 | 0.77 | 300 | 4.2547 |
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+ | 2.6338 | 1.02 | 400 | 4.3864 |
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+ | 2.102 | 1.28 | 500 | 4.3538 |
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+ | 2.1015 | 1.53 | 600 | 4.3395 |
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+ | 2.0691 | 1.79 | 700 | 4.3363 |
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+ | 1.9422 | 2.04 | 800 | 4.6331 |
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+ | 1.4405 | 2.3 | 900 | 4.5653 |
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+ | 1.3896 | 2.55 | 1000 | 4.5768 |
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+ | 1.3735 | 2.81 | 1100 | 4.5610 |
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  ### Framework versions
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