Upload folder using huggingface_hub

checkpoint-4800/config.json

@@ -0,0 +1,74 @@
+{
+  "_name_or_path": "dima806/facial_age_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "01",
+    "1": "02",
+    "2": "03",
+    "3": "04",
+    "4": "05",
+    "5": "06-07",
+    "6": "08-09",
+    "7": "10-12",
+    "8": "13-15",
+    "9": "16-20",
+    "10": "21-25",
+    "11": "26-30",
+    "12": "31-35",
+    "13": "36-40",
+    "14": "41-45",
+    "15": "46-50",
+    "16": "51-55",
+    "17": "56-60",
+    "18": "61-65",
+    "19": "66-70",
+    "20": "71-80",
+    "21": "81-90",
+    "22": "90+"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "01": 0,
+    "02": 1,
+    "03": 2,
+    "04": 3,
+    "05": 4,
+    "06-07": 5,
+    "08-09": 6,
+    "10-12": 7,
+    "13-15": 8,
+    "16-20": 9,
+    "21-25": 10,
+    "26-30": 11,
+    "31-35": 12,
+    "36-40": 13,
+    "41-45": 14,
+    "46-50": 15,
+    "51-55": 16,
+    "56-60": 17,
+    "61-65": 18,
+    "66-70": 19,
+    "71-80": 20,
+    "81-90": 21,
+    "90+": 22
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

checkpoint-4800/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ca355e4ab0436bd1f28b1391a4d956b8e70f091a4970fe45a99bd0c57eb8d48
+size 343288572

checkpoint-4800/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:636f982860f05ed6489ed929f73e582710394915a4ae9db2dc4fbb4074adc5dd
+size 686697605

checkpoint-4800/preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

checkpoint-4800/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b63952a445a33fd5e643b4d8cf806228d069960e90d213d8424126151335d8f
+size 14575

checkpoint-4800/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7966dfc291344112ca6820d5a4ac31b6e5fdb54e1e3983478f848ec06f323360
+size 627

checkpoint-4800/trainer_state.json

@@ -0,0 +1,264 @@
+{
+  "best_metric": 1.164973497390747,
+  "best_model_checkpoint": "facial_age_image_detection/checkpoint-4800",
+  "epoch": 20.0,
+  "eval_steps": 500,
+  "global_step": 4800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.6013097448929723,
+      "eval_loss": 1.182183861732483,
+      "eval_runtime": 106.5296,
+      "eval_samples_per_second": 96.039,
+      "eval_steps_per_second": 3.004,
+      "step": 240
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.6016029713615483,
+      "eval_loss": 1.1812384128570557,
+      "eval_runtime": 103.6605,
+      "eval_samples_per_second": 98.697,
+      "eval_steps_per_second": 3.087,
+      "step": 480
+    },
+    {
+      "epoch": 2.08,
+      "grad_norm": 11.414525032043457,
+      "learning_rate": 4.526315789473684e-07,
+      "loss": 0.7517,
+      "step": 500
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5973023164891017,
+      "eval_loss": 1.1846318244934082,
+      "eval_runtime": 104.3279,
+      "eval_samples_per_second": 98.066,
+      "eval_steps_per_second": 3.067,
+      "step": 720
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.6031668458606196,
+      "eval_loss": 1.178046464920044,
+      "eval_runtime": 105.5564,
+      "eval_samples_per_second": 96.924,
+      "eval_steps_per_second": 3.032,
+      "step": 960
+    },
+    {
+      "epoch": 4.17,
+      "grad_norm": 10.3371000289917,
+      "learning_rate": 4e-07,
+      "loss": 0.7404,
+      "step": 1000
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.6057081419216108,
+      "eval_loss": 1.1763097047805786,
+      "eval_runtime": 104.8017,
+      "eval_samples_per_second": 97.622,
+      "eval_steps_per_second": 3.053,
+      "step": 1200
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.6061968527025706,
+      "eval_loss": 1.173648715019226,
+      "eval_runtime": 104.8949,
+      "eval_samples_per_second": 97.536,
+      "eval_steps_per_second": 3.051,
+      "step": 1440
+    },
+    {
+      "epoch": 6.25,
+      "grad_norm": 11.105679512023926,
+      "learning_rate": 3.4736842105263157e-07,
+      "loss": 0.7343,
+      "step": 1500
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.6017984556739322,
+      "eval_loss": 1.175057053565979,
+      "eval_runtime": 104.1925,
+      "eval_samples_per_second": 98.193,
+      "eval_steps_per_second": 3.071,
+      "step": 1680
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.6026781350796598,
+      "eval_loss": 1.1735320091247559,
+      "eval_runtime": 103.0462,
+      "eval_samples_per_second": 99.286,
+      "eval_steps_per_second": 3.105,
+      "step": 1920
+    },
+    {
+      "epoch": 8.33,
+      "grad_norm": 15.928546905517578,
+      "learning_rate": 2.947368421052631e-07,
+      "loss": 0.7275,
+      "step": 2000
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 0.6044374938911152,
+      "eval_loss": 1.1707645654678345,
+      "eval_runtime": 103.3329,
+      "eval_samples_per_second": 99.01,
+      "eval_steps_per_second": 3.097,
+      "step": 2160
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 0.6085426644511778,
+      "eval_loss": 1.169615387916565,
+      "eval_runtime": 104.1315,
+      "eval_samples_per_second": 98.251,
+      "eval_steps_per_second": 3.073,
+      "step": 2400
+    },
+    {
+      "epoch": 10.42,
+      "grad_norm": 15.35641098022461,
+      "learning_rate": 2.4210526315789473e-07,
+      "loss": 0.7201,
+      "step": 2500
+    },
+    {
+      "epoch": 11.0,
+      "eval_accuracy": 0.6064900791711465,
+      "eval_loss": 1.1700137853622437,
+      "eval_runtime": 106.578,
+      "eval_samples_per_second": 95.995,
+      "eval_steps_per_second": 3.002,
+      "step": 2640
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 0.6087381487635617,
+      "eval_loss": 1.1673282384872437,
+      "eval_runtime": 102.521,
+      "eval_samples_per_second": 99.794,
+      "eval_steps_per_second": 3.121,
+      "step": 2880
+    },
+    {
+      "epoch": 12.5,
+      "grad_norm": 10.890913963317871,
+      "learning_rate": 1.8947368421052632e-07,
+      "loss": 0.7144,
+      "step": 3000
+    },
+    {
+      "epoch": 13.0,
+      "eval_accuracy": 0.6035578144853876,
+      "eval_loss": 1.1682850122451782,
+      "eval_runtime": 103.3961,
+      "eval_samples_per_second": 98.95,
+      "eval_steps_per_second": 3.095,
+      "step": 3120
+    },
+    {
+      "epoch": 14.0,
+      "eval_accuracy": 0.6070765321082983,
+      "eval_loss": 1.1674185991287231,
+      "eval_runtime": 103.2219,
+      "eval_samples_per_second": 99.117,
+      "eval_steps_per_second": 3.1,
+      "step": 3360
+    },
+    {
+      "epoch": 14.58,
+      "grad_norm": 11.558945655822754,
+      "learning_rate": 1.368421052631579e-07,
+      "loss": 0.7137,
+      "step": 3500
+    },
+    {
+      "epoch": 15.0,
+      "eval_accuracy": 0.6073697585768743,
+      "eval_loss": 1.1667180061340332,
+      "eval_runtime": 103.2403,
+      "eval_samples_per_second": 99.099,
+      "eval_steps_per_second": 3.1,
+      "step": 3600
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 0.6068810477959143,
+      "eval_loss": 1.166371464729309,
+      "eval_runtime": 103.7779,
+      "eval_samples_per_second": 98.586,
+      "eval_steps_per_second": 3.084,
+      "step": 3840
+    },
+    {
+      "epoch": 16.67,
+      "grad_norm": 15.126260757446289,
+      "learning_rate": 8.421052631578947e-08,
+      "loss": 0.7093,
+      "step": 4000
+    },
+    {
+      "epoch": 17.0,
+      "eval_accuracy": 0.6044374938911152,
+      "eval_loss": 1.1674280166625977,
+      "eval_runtime": 102.8109,
+      "eval_samples_per_second": 99.513,
+      "eval_steps_per_second": 3.113,
+      "step": 4080
+    },
+    {
+      "epoch": 18.0,
+      "eval_accuracy": 0.6042420095787313,
+      "eval_loss": 1.1664873361587524,
+      "eval_runtime": 102.8553,
+      "eval_samples_per_second": 99.47,
+      "eval_steps_per_second": 3.111,
+      "step": 4320
+    },
+    {
+      "epoch": 18.75,
+      "grad_norm": 14.217340469360352,
+      "learning_rate": 3.157894736842105e-08,
+      "loss": 0.7035,
+      "step": 4500
+    },
+    {
+      "epoch": 19.0,
+      "eval_accuracy": 0.6062945948587626,
+      "eval_loss": 1.1650714874267578,
+      "eval_runtime": 103.4609,
+      "eval_samples_per_second": 98.888,
+      "eval_steps_per_second": 3.093,
+      "step": 4560
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 0.6068810477959143,
+      "eval_loss": 1.164973497390747,
+      "eval_runtime": 102.8512,
+      "eval_samples_per_second": 99.474,
+      "eval_steps_per_second": 3.111,
+      "step": 4800
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 4800,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 20,
+  "save_steps": 500,
+  "total_flos": 2.3786767829022114e+19,
+  "train_batch_size": 64,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-4800/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1720d13f8074df3fb08ee60b875a9df5a8b4161f2f31054e04a3b9fdc006e59a
+size 4411

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0cecd28b4d92743518c8f4fb11713818229a881dd452670d73ff23b062afd1f7
+oid sha256:1ca355e4ab0436bd1f28b1391a4d956b8e70f091a4970fe45a99bd0c57eb8d48
 size 343288572