Upload folder using huggingface_hub

README.md

@@ -0,0 +1,22 @@
+
+---
+tags:
+- autotrain
+- image-classification
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+datasets:
+- mujammil131/eyeDiseasDdetectionModel
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Image Classification
+
+## Validation Metrics
+No validation metrics available

checkpoint-2397/config.json

@@ -0,0 +1,86 @@
+{
+  "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
+  "_num_labels": 8,
+  "add_fpn": false,
+  "architectures": [
+    "BeitForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "AMD",
+    "1": "Cataract",
+    "2": "Diabetes",
+    "3": "Glaucoma",
+    "4": "Hypertension",
+    "5": "Myopia",
+    "6": "Normal",
+    "7": "Other"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AMD": 0,
+    "Cataract": 1,
+    "Diabetes": 2,
+    "Glaucoma": 3,
+    "Hypertension": 4,
+    "Myopia": 5,
+    "Normal": 6,
+    "Other": 7
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "reshape_hidden_states": true,
+  "semantic_loss_ignore_index": 255,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.0",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": true,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

checkpoint-2397/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e3e3c6288acfc26e4de39cb614fc3690345895f13a06290bb087e27b90c2964
+size 343098784

checkpoint-2397/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ad52186be22eec8978dd8eab1b60c24cc2c96d239ed837571a5fbc2ffe303ba0
+size 686325242

checkpoint-2397/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51e8bd199675fc2581cf7af747a3451fe9e22243827c5564e1394e90d4ddb45f
+size 14054

checkpoint-2397/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0582d2a44c8a539e6c362c61bb0ff26201d743361e06cda83895ba0dedafbec1
+size 1064

checkpoint-2397/trainer_state.json

@@ -0,0 +1,126 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 2397,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.2,
+      "grad_norm": 14.102521896362305,
+      "learning_rate": 3.3125e-05,
+      "loss": 1.5474,
+      "step": 159
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 11.06152057647705,
+      "learning_rate": 4.8191933240611966e-05,
+      "loss": 1.3906,
+      "step": 318
+    },
+    {
+      "epoch": 0.6,
+      "grad_norm": 11.38102912902832,
+      "learning_rate": 4.4506258692628656e-05,
+      "loss": 1.3152,
+      "step": 477
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 10.112909317016602,
+      "learning_rate": 4.082058414464534e-05,
+      "loss": 1.2965,
+      "step": 636
+    },
+    {
+      "epoch": 0.99,
+      "grad_norm": 8.64354133605957,
+      "learning_rate": 3.713490959666203e-05,
+      "loss": 1.2541,
+      "step": 795
+    },
+    {
+      "epoch": 1.19,
+      "grad_norm": 8.374133110046387,
+      "learning_rate": 3.344923504867872e-05,
+      "loss": 1.1896,
+      "step": 954
+    },
+    {
+      "epoch": 1.39,
+      "grad_norm": 13.710701942443848,
+      "learning_rate": 2.9763560500695413e-05,
+      "loss": 1.1773,
+      "step": 1113
+    },
+    {
+      "epoch": 1.59,
+      "grad_norm": 11.795424461364746,
+      "learning_rate": 2.60778859527121e-05,
+      "loss": 1.1184,
+      "step": 1272
+    },
+    {
+      "epoch": 1.79,
+      "grad_norm": 9.229485511779785,
+      "learning_rate": 2.239221140472879e-05,
+      "loss": 1.1397,
+      "step": 1431
+    },
+    {
+      "epoch": 1.99,
+      "grad_norm": 18.048118591308594,
+      "learning_rate": 1.870653685674548e-05,
+      "loss": 1.0934,
+      "step": 1590
+    },
+    {
+      "epoch": 2.19,
+      "grad_norm": 12.560694694519043,
+      "learning_rate": 1.5020862308762171e-05,
+      "loss": 1.0125,
+      "step": 1749
+    },
+    {
+      "epoch": 2.39,
+      "grad_norm": 28.996366500854492,
+      "learning_rate": 1.1335187760778861e-05,
+      "loss": 1.0356,
+      "step": 1908
+    },
+    {
+      "epoch": 2.59,
+      "grad_norm": 17.208913803100586,
+      "learning_rate": 7.64951321279555e-06,
+      "loss": 0.9445,
+      "step": 2067
+    },
+    {
+      "epoch": 2.79,
+      "grad_norm": 16.612789154052734,
+      "learning_rate": 3.96383866481224e-06,
+      "loss": 1.0326,
+      "step": 2226
+    },
+    {
+      "epoch": 2.98,
+      "grad_norm": 24.243637084960938,
+      "learning_rate": 2.7816411682892905e-07,
+      "loss": 0.8955,
+      "step": 2385
+    }
+  ],
+  "logging_steps": 159,
+  "max_steps": 2397,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 1.4854311755525652e+18,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-2397/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f13215f8adc64b61ed651172e81d5ad0204d80f5d097274029e531feffb460e
+size 4920

config.json

@@ -0,0 +1,86 @@
+{
+  "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
+  "_num_labels": 8,
+  "add_fpn": false,
+  "architectures": [
+    "BeitForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "AMD",
+    "1": "Cataract",
+    "2": "Diabetes",
+    "3": "Glaucoma",
+    "4": "Hypertension",
+    "5": "Myopia",
+    "6": "Normal",
+    "7": "Other"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AMD": 0,
+    "Cataract": 1,
+    "Diabetes": 2,
+    "Glaucoma": 3,
+    "Hypertension": 4,
+    "Myopia": 5,
+    "Normal": 6,
+    "Other": 7
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "reshape_hidden_states": true,
+  "semantic_loss_ignore_index": 255,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.0",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": true,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e3e3c6288acfc26e4de39cb614fc3690345895f13a06290bb087e27b90c2964
+size 343098784

preprocessor_config.json

@@ -0,0 +1,46 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "segmentation_maps",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_reduce_labels",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "BeitImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f13215f8adc64b61ed651172e81d5ad0204d80f5d097274029e531feffb460e
+size 4920

training_params.json

@@ -0,0 +1,29 @@
+{
+    "data_path": "mujammil131/eyeDiseasDdetectionModel",
+    "model": "microsoft/beit-base-patch16-224-pt22k-ft22k",
+    "username": "NeuronZero",
+    "lr": 5e-05,
+    "epochs": 3,
+    "batch_size": 8,
+    "warmup_ratio": 0.1,
+    "gradient_accumulation": 1,
+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 42,
+    "train_split": "train",
+    "valid_split": null,
+    "logging_steps": -1,
+    "project_name": "EyeDiseaseClassifier",
+    "auto_find_batch_size": false,
+    "mixed_precision": "fp8",
+    "save_total_limit": 1,
+    "save_strategy": "epoch",
+    "push_to_hub": true,
+    "repo_id": "NeuronZero/EyeDiseaseClassifier",
+    "evaluation_strategy": "epoch",
+    "image_column": "image",
+    "target_column": "label",
+    "log": "none"
+}