Commit
•
6f17b4b
1
Parent(s):
58641f4
diabetic
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/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730226611.34782ed5bbe0.30.0 +3 -0
- runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730228478.34782ed5bbe0.30.1 +3 -0
- runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730231471.34782ed5bbe0.30.2 +3 -0
- runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730233372.34782ed5bbe0.30.3 +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-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: 0.942
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- name: F1
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type: f1
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value: 0.942242843950414
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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-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: 0.2952
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- Accuracy: 0.942
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- F1: 0.9422
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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: 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: 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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| 0.4912 | 1.0 | 250 | 0.7298 | 0.796 | 0.7926 |
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| 0.4077 | 2.0 | 500 | 0.4114 | 0.88 | 0.8797 |
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| 0.3526 | 3.0 | 750 | 0.5006 | 0.842 | 0.8426 |
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| 0.4636 | 4.0 | 1000 | 0.3500 | 0.886 | 0.8852 |
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| 0.2982 | 5.0 | 1250 | 0.3515 | 0.882 | 0.8826 |
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| 0.2519 | 6.0 | 1500 | 0.3340 | 0.9 | 0.9000 |
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| 0.2345 | 7.0 | 1750 | 0.3852 | 0.914 | 0.9152 |
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| 0.1917 | 8.0 | 2000 | 0.2717 | 0.94 | 0.9401 |
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| 0.0741 | 9.0 | 2250 | 0.2995 | 0.942 | 0.9419 |
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| 0.0871 | 10.0 | 2500 | 0.2952 | 0.942 | 0.9422 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.942,
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"eval_f1": 0.942242843950414,
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"eval_loss": 0.29518944025039673,
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"eval_runtime": 8.7052,
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"eval_samples_per_second": 57.437,
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"eval_steps_per_second": 14.359,
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"total_flos": 4.0857422266368e+18,
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"train_loss": 0.2658988154053688,
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+
"train_runtime": 1833.439,
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"train_samples_per_second": 21.817,
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"train_steps_per_second": 1.364
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}
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config.json
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{
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"_name_or_path": "facebook/dinov2-base",
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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": 768,
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"id2label": {
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"0": "0",
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"1": "1",
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"2": "2",
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"3": "3",
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"4": "4"
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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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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4
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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": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"out_features": [
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"stage12"
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],
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"out_indices": [
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12
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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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"stage2",
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"stage3",
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"stage4",
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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.45.1",
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"use_swiglu_ffn": false
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.942,
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"eval_f1": 0.942242843950414,
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"eval_loss": 0.29518944025039673,
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+
"eval_runtime": 8.7052,
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"eval_samples_per_second": 57.437,
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"eval_steps_per_second": 14.359
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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 sha256:3350c010b4a5c67eb0185052bae214e0ad4d0233a159b04b31e0b29aa4b47e28
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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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"width": 224
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},
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"do_center_crop": true,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "BitImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 256
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}
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}
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runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730226611.34782ed5bbe0.30.0
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version https://git-lfs.github.com/spec/v1
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size 62160
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runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730228478.34782ed5bbe0.30.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:08600d618ddbb1322732f253da204ec73ff81bc8b608feddd3afbc22ae7ae33b
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size 62226
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runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730231471.34782ed5bbe0.30.2
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version https://git-lfs.github.com/spec/v1
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size 62226
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runs/Oct29_18-29-19_34782ed5bbe0/events.out.tfevents.1730233372.34782ed5bbe0.30.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:11cdbf37d30b6d43ba7d1e23e2e12a2007543244a9c1c6c851740a74244781ca
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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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"total_flos": 4.0857422266368e+18,
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"train_loss": 0.2658988154053688,
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"train_runtime": 1833.439,
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"train_samples_per_second": 21.817,
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"train_steps_per_second": 1.364
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}
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trainer_state.json
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