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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/dinov2-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: eval-trueface-dinov2-large-5-epochs-nov_19-baseline
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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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+ # eval-trueface-dinov2-large-5-epochs-nov_19-baseline
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+
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+ This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.9384
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+ - eval_model_preparation_time: 0.0055
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+ - eval_accuracy: 0.5680
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+ - eval_runtime: 1478.4624
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+ - eval_samples_per_second: 14.204
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+ - eval_steps_per_second: 0.444
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+ - step: 0
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
all_results.json ADDED
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+ {
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+ "eval_accuracy": 0.567952380952381,
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+ "eval_loss": 0.9383690357208252,
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+ "eval_model_preparation_time": 0.0055,
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+ "eval_runtime": 1478.4624,
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+ "eval_samples_per_second": 14.204,
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+ "eval_steps_per_second": 0.444
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/dinov2-large",
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+ "apply_layernorm": true,
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+ "architectures": [
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+ "Dinov2ForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "drop_path_rate": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "fake",
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+ "1": "real"
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+ },
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+ "image_size": 518,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "fake": 0,
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+ "real": 1
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+ },
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+ "layer_norm_eps": 1e-06,
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+ "layerscale_value": 1.0,
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+ "mlp_ratio": 4,
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+ "model_type": "dinov2",
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+ "num_attention_heads": 16,
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+ "num_channels": 3,
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+ "num_hidden_layers": 24,
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+ "out_features": [
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+ "stage24"
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+ ],
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+ "out_indices": [
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+ 24
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+ ],
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+ "patch_size": 14,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "reshape_hidden_states": true,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.45.2",
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+ "use_swiglu_ffn": false
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+ }
eval_results.json ADDED
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+ {
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+ "eval_accuracy": 0.567952380952381,
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+ "eval_model_preparation_time": 0.0055,
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+ "eval_runtime": 1478.4624,
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+ "eval_samples_per_second": 14.204,
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+ "eval_steps_per_second": 0.444
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+ }
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