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idbwtiny

Image Classification
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convnext
Generated from Trainer
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Files changed (7) hide show
  1. README.md +8 -21
  2. all_results.json +2 -11
  3. eval_results.json +2 -6
  4. model.safetensors +1 -1
  5. preprocessor_config.json +3 -4
  6. runs/Apr21_00-40-59_2d188412f36c/events.out.tfevents.1713660060.2d188412f36c.532.0 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -4,8 +4,6 @@ base_model: facebook/convnext-tiny-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
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  model-index:
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  - name: idbwtiny
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  results: []
@@ -16,10 +14,15 @@ should probably proofread and complete it, then remove this comment. -->
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  # idbwtiny
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- This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the indian_food_images dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1267
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- - Accuracy: 0.9569
 
 
 
 
 
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  ## Model description
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@@ -47,22 +50,6 @@ The following hyperparameters were used during training:
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.3871 | 1.0 | 2010 | 0.3021 | 0.8674 |
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- | 0.3403 | 2.0 | 4020 | 0.2442 | 0.8967 |
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- | 0.3058 | 3.0 | 6030 | 0.2269 | 0.9052 |
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- | 0.2722 | 4.0 | 8040 | 0.2008 | 0.9197 |
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- | 0.2496 | 5.0 | 10050 | 0.1841 | 0.9272 |
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- | 0.2219 | 6.0 | 12060 | 0.1706 | 0.9353 |
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- | 0.198 | 7.0 | 14070 | 0.1478 | 0.9452 |
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- | 0.1812 | 8.0 | 16080 | 0.1413 | 0.9503 |
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- | 0.1632 | 9.0 | 18090 | 0.1301 | 0.9553 |
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- | 0.1576 | 10.0 | 20100 | 0.1267 | 0.9569 |
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-
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-
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  ### Framework versions
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  - Transformers 4.38.2
 
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  tags:
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  - image-classification
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  - generated_from_trainer
 
 
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  model-index:
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  - name: idbwtiny
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  results: []
 
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  # idbwtiny
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+ This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the sooks/id2 dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.0155
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+ - eval_accuracy: 0.9953
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+ - eval_runtime: 301.1388
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+ - eval_samples_per_second: 178.967
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+ - eval_steps_per_second: 22.372
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+ - epoch: 6.37
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+ - step: 12963
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  ## Model description
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  - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.38.2
all_results.json CHANGED
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  {
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- "epoch": 10.0,
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- "eval_accuracy": 0.9568830973467968,
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- "eval_loss": 0.12666618824005127,
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- "eval_runtime": 203.8079,
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- "eval_steps_per_second": 32.619,
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- "total_flos": 7.572439992003492e+19,
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- "train_loss": 0.2540779383265557,
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- "train_runtime": 33188.7721,
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- "train_samples_per_second": 90.801,
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- "train_steps_per_second": 0.606
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  }
 
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  }
eval_results.json CHANGED
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- "epoch": 10.0,
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- "eval_accuracy": 0.9568830973467968,
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- "eval_samples_per_second": 260.937,
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- "eval_steps_per_second": 32.619
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  }
 
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