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idbwbase

Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
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  1. README.md +70 -0
  2. config.json +52 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +23 -0
  5. runs/Apr20_09-46-50_49f104673c10/events.out.tfevents.1713606413.49f104673c10.914.0 +3 -0
  6. runs/Apr20_09-47-45_49f104673c10/events.out.tfevents.1713606467.49f104673c10.914.1 +3 -0
  7. runs/Apr20_09-49-02_49f104673c10/events.out.tfevents.1713606544.49f104673c10.914.2 +3 -0
  8. runs/Apr20_09-53-02_49f104673c10/events.out.tfevents.1713606784.49f104673c10.914.3 +3 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/convnext-base-224-22k
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+ tags:
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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: idbwbase
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # idbwbase
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+
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+ This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1001
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+ - Accuracy: 0.9761
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 64
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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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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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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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+ | 0.373 | 1.0 | 4709 | 0.3002 | 0.8705 |
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+ | 0.3244 | 2.0 | 9418 | 0.2262 | 0.9044 |
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+ | 0.2801 | 3.0 | 14127 | 0.1987 | 0.9196 |
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+ | 0.2366 | 4.0 | 18836 | 0.1788 | 0.9345 |
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+ | 0.2051 | 5.0 | 23545 | 0.1463 | 0.9484 |
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+ | 0.1764 | 6.0 | 28254 | 0.1202 | 0.9593 |
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+ | 0.1595 | 7.0 | 32963 | 0.1243 | 0.9655 |
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+ | 0.1359 | 8.0 | 37672 | 0.1188 | 0.9659 |
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+ | 0.1231 | 9.0 | 42381 | 0.0978 | 0.9741 |
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+ | 0.1162 | 10.0 | 47090 | 0.1001 | 0.9761 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/convnext-base-224-22k",
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+ "architectures": [
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+ "ConvNextForImageClassification"
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+ ],
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+ "depths": [
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+ ],
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_sizes": [
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+ 128,
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+ 256,
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+ 512,
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+ 1024
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+ ],
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+ "id2label": {
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+ "0": "AI",
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+ "1": "Human"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "AI": "0",
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+ "Human": "1"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 1e-06,
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+ "model_type": "convnext",
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+ "num_channels": 3,
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+ "num_stages": 4,
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+ "out_features": [
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+ "stage4"
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+ ],
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+ ],
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+ "patch_size": 4,
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+ "problem_type": "single_label_classification",
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ "stage2",
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+ "stage3",
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+ "stage4"
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2"
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+ }
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