Diabetic_RetinoPathy_detection
Browse files- README.md +93 -0
- all_results.json +14 -0
- config.json +63 -0
- eval_results.json +9 -0
- model.safetensors +3 -0
- preprocessor_config.json +27 -0
- runs/Mar17_11-24-51_8156a47f4473/events.out.tfevents.1742210722.8156a47f4473.351.0 +3 -0
- runs/Mar17_11-24-51_8156a47f4473/events.out.tfevents.1742213635.8156a47f4473.351.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1892 -0
- training_args.bin +3 -0
README.md
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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-base
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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- f1
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model-index:
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- name: dinov2-base-finetuned-dia_eye
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.88
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- name: F1
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type: f1
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value: 0.8802333980766498
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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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# dinov2-base-finetuned-dia_eye
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This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4215
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- Accuracy: 0.88
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- F1: 0.8802
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.2812 | 1.0 | 250 | 1.1659 | 0.494 | 0.4460 |
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| 1.0885 | 2.0 | 500 | 1.1570 | 0.46 | 0.4098 |
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| 1.0673 | 3.0 | 750 | 1.1951 | 0.51 | 0.4777 |
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| 0.9863 | 4.0 | 1000 | 0.8480 | 0.622 | 0.6316 |
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| 0.8241 | 5.0 | 1250 | 0.7028 | 0.706 | 0.7049 |
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| 0.7208 | 6.0 | 1500 | 0.7059 | 0.712 | 0.6910 |
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| 0.5563 | 7.0 | 1750 | 0.5728 | 0.782 | 0.7813 |
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| 0.3988 | 8.0 | 2000 | 0.5472 | 0.826 | 0.8239 |
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| 0.4643 | 9.0 | 2250 | 0.4736 | 0.85 | 0.8503 |
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| 0.2625 | 10.0 | 2500 | 0.4215 | 0.88 | 0.8802 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.4.0
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- Tokenizers 0.21.0
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.88,
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| 4 |
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"eval_f1": 0.8802333980766498,
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| 5 |
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"eval_loss": 0.4214743971824646,
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| 6 |
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"eval_runtime": 12.3028,
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| 7 |
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"eval_samples_per_second": 40.641,
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| 8 |
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"eval_steps_per_second": 10.16,
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| 9 |
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"total_flos": 4.0857422266368e+18,
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| 10 |
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"train_loss": 0.7867561736106873,
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| 11 |
+
"train_runtime": 2885.7234,
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| 12 |
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"train_samples_per_second": 13.861,
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| 13 |
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"train_steps_per_second": 0.866
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}
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config.json
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{
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| 2 |
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"_name_or_path": "facebook/dinov2-base",
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| 3 |
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"apply_layernorm": true,
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| 4 |
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"architectures": [
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| 5 |
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"Dinov2ForImageClassification"
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| 6 |
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],
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| 7 |
+
"attention_probs_dropout_prob": 0.0,
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| 8 |
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"drop_path_rate": 0.0,
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| 9 |
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"hidden_act": "gelu",
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| 10 |
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"hidden_dropout_prob": 0.0,
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| 11 |
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"hidden_size": 768,
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| 12 |
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"id2label": {
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| 13 |
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"0": "0",
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| 14 |
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"1": "1",
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| 15 |
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"2": "2",
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| 16 |
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"3": "3",
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| 17 |
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"4": "4"
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| 18 |
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},
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| 19 |
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"image_size": 518,
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| 20 |
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"initializer_range": 0.02,
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| 21 |
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"label2id": {
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| 22 |
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"0": 0,
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| 23 |
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"1": 1,
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| 24 |
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"2": 2,
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| 25 |
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"3": 3,
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| 26 |
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"4": 4
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},
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| 28 |
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"layer_norm_eps": 1e-06,
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| 29 |
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"layerscale_value": 1.0,
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| 30 |
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"mlp_ratio": 4,
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| 31 |
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"model_type": "dinov2",
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| 32 |
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"num_attention_heads": 12,
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| 33 |
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"num_channels": 3,
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| 34 |
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"num_hidden_layers": 12,
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| 35 |
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"out_features": [
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| 36 |
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"stage12"
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| 37 |
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],
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| 38 |
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"out_indices": [
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| 39 |
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12
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],
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| 41 |
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"patch_size": 14,
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| 42 |
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"problem_type": "single_label_classification",
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| 43 |
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"qkv_bias": true,
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| 44 |
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"reshape_hidden_states": true,
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| 45 |
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"stage_names": [
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| 46 |
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"stem",
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| 47 |
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"stage1",
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| 48 |
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"stage2",
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| 49 |
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"stage3",
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| 50 |
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"stage4",
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| 51 |
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"stage5",
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| 52 |
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"stage6",
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| 53 |
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"stage7",
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| 54 |
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"stage8",
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| 55 |
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"stage9",
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"stage10",
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| 57 |
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"stage11",
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| 58 |
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"stage12"
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| 59 |
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],
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| 60 |
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"torch_dtype": "float32",
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| 61 |
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"transformers_version": "4.48.3",
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| 62 |
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"use_swiglu_ffn": false
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| 63 |
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}
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eval_results.json
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{
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| 2 |
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"epoch": 10.0,
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| 3 |
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"eval_accuracy": 0.88,
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| 4 |
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"eval_f1": 0.8802333980766498,
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| 5 |
+
"eval_loss": 0.4214743971824646,
|
| 6 |
+
"eval_runtime": 12.3028,
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| 7 |
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"eval_samples_per_second": 40.641,
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| 8 |
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"eval_steps_per_second": 10.16
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f350755357572290115bb4943f759779842e1804bee525a3654f11686f63a61
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size 346378372
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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| 4 |
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"width": 224
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| 5 |
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},
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| 6 |
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"do_center_crop": true,
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| 7 |
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"do_convert_rgb": true,
|
| 8 |
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"do_normalize": true,
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| 9 |
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"do_rescale": true,
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| 10 |
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"do_resize": true,
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| 11 |
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"image_mean": [
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| 12 |
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0.485,
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| 13 |
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0.456,
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| 14 |
+
0.406
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| 15 |
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],
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| 16 |
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"image_processor_type": "BitImageProcessor",
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| 17 |
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"image_std": [
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| 18 |
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0.229,
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| 19 |
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0.224,
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| 20 |
+
0.225
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| 21 |
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],
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| 22 |
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"resample": 3,
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| 23 |
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"rescale_factor": 0.00392156862745098,
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| 24 |
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"size": {
|
| 25 |
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"shortest_edge": 256
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| 26 |
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}
|
| 27 |
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}
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runs/Mar17_11-24-51_8156a47f4473/events.out.tfevents.1742210722.8156a47f4473.351.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5f6926c5945840fef669662a12fd78d4018f9a178f66e9a64ecf7b8aa014399
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size 62282
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runs/Mar17_11-24-51_8156a47f4473/events.out.tfevents.1742213635.8156a47f4473.351.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:07e8a4e177f769dd635bc073a3cc5da155be70f3923e7151afede8d409555cd7
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size 457
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train_results.json
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{
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"epoch": 10.0,
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| 3 |
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"total_flos": 4.0857422266368e+18,
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| 4 |
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"train_loss": 0.7867561736106873,
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| 5 |
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"train_runtime": 2885.7234,
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| 6 |
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"train_samples_per_second": 13.861,
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| 7 |
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"train_steps_per_second": 0.866
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| 8 |
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.88,
|
| 3 |
+
"best_model_checkpoint": "dinov2-base-finetuned-dia_eye/checkpoint-2500",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2500,
|
| 7 |
+
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