diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..0dbfa8d326cc04dc1fc02deb93d2f3b698040164 --- /dev/null +++ b/README.md @@ -0,0 +1,96 @@ +--- +license: apache-2.0 +base_model: microsoft/swin-tiny-patch4-window7-224 +tags: +- generated_from_trainer +datasets: +- imagefolder +metrics: +- accuracy +- recall +- precision +- f1 +model-index: +- name: FFPP-Raw_1FPS_faces-expand-40-aligned_metric-acc-precision-recall-f1 + results: + - task: + name: Image Classification + type: image-classification + dataset: + name: imagefolder + type: imagefolder + config: default + split: train + args: default + metrics: + - name: Accuracy + type: accuracy + value: 0.8064887989445775 + - name: Recall + type: recall + value: 0.599275070479259 + - name: Precision + type: precision + value: 0.26912642430819317 + - name: F1 + type: f1 + value: 0.37144283574638043 +--- + + + +# FFPP-Raw_1FPS_faces-expand-40-aligned_metric-acc-precision-recall-f1 + +This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset. +It achieves the following results on the evaluation set: +- Loss: 0.4464 +- Accuracy: 0.8065 +- Recall: 0.5993 +- Precision: 0.2691 +- F1: 0.3714 +- Roc Auc: 0.8135 + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- learning_rate: 5e-05 +- train_batch_size: 16 +- eval_batch_size: 16 +- seed: 42 +- gradient_accumulation_steps: 4 +- total_train_batch_size: 64 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: linear +- lr_scheduler_warmup_ratio: 0.1 +- num_epochs: 3 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | Roc Auc | +|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:| +| 0.1821 | 1.0 | 1348 | 0.1286 | 0.9464 | 0.8533 | 0.8953 | 0.8738 | 0.9858 | +| 0.1333 | 2.0 | 2696 | 0.0715 | 0.9725 | 0.9129 | 0.9586 | 0.9352 | 0.9960 | +| 0.0809 | 3.0 | 4044 | 0.0520 | 0.9804 | 0.9344 | 0.9743 | 0.9539 | 0.9980 | + + +### Framework versions + +- Transformers 4.39.2 +- Pytorch 2.2.2 +- Datasets 2.18.0 +- Tokenizers 0.15.2 diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000000000000000000000000000000000000..4b7ca8e961147b8e791393925f378c1ba978ce04 --- /dev/null +++ b/all_results.json @@ -0,0 +1,16 @@ +{ + "epoch": 3.0, + "eval_accuracy": 0.9803726074405555, + "eval_f1": 0.9539181795911702, + "eval_loss": 0.05200228467583656, + "eval_precision": 0.9743119266055046, + "eval_recall": 0.9343606697237923, + "eval_roc_auc": 0.997971591737313, + "eval_runtime": 144.7775, + "eval_samples_per_second": 595.79, + "eval_steps_per_second": 37.243, + "train_loss": 0.18140344330571173, + "train_runtime": 1283.9356, + "train_samples_per_second": 201.545, + "train_steps_per_second": 3.15 +} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..fc94d63b6eae10fa53282a16d49fa9d813ff93cf --- /dev/null +++ b/config.json @@ -0,0 +1,61 @@ +{ + "_name_or_path": "microsoft/swin-tiny-patch4-window7-224", + "architectures": [ + "SwinForImageClassification" + ], + "attention_probs_dropout_prob": 0.0, + "depths": [ + 2, + 2, + 6, + 2 + ], + "drop_path_rate": 0.1, + "embed_dim": 96, + "encoder_stride": 32, + "hidden_act": "gelu", + "hidden_dropout_prob": 0.0, + "hidden_size": 768, + "id2label": { + "0": "Fake", + "1": "Real" + }, + "image_size": 224, + "initializer_range": 0.02, + "label2id": { + "Fake": 0, + "Real": 1 + }, + "layer_norm_eps": 1e-05, + "mlp_ratio": 4.0, + "model_type": "swin", + "num_channels": 3, + "num_heads": [ + 3, + 6, + 12, + 24 + ], + "num_layers": 4, + "out_features": [ + "stage4" + ], + "out_indices": [ + 4 + ], + "patch_size": 4, + "path_norm": true, + "problem_type": "single_label_classification", + "qkv_bias": true, + "stage_names": [ + "stem", + "stage1", + "stage2", + "stage3", + "stage4" + ], + "torch_dtype": "float32", + "transformers_version": "4.39.2", + "use_absolute_embeddings": false, + "window_size": 7 +} diff --git a/eval_results.json b/eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..b25e2209e7e02e28b84c5d7bea3ed96f8f6c00e2 --- /dev/null +++ b/eval_results.json @@ -0,0 +1,12 @@ +{ + "epoch": 3.0, + "eval_accuracy": 0.9803726074405555, + "eval_f1": 0.9539181795911702, + "eval_loss": 0.05200228467583656, + "eval_precision": 0.9743119266055046, + "eval_recall": 0.9343606697237923, + "eval_roc_auc": 0.997971591737313, + "eval_runtime": 144.7775, + "eval_samples_per_second": 595.79, + "eval_steps_per_second": 37.243 +} \ No 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