Upload folder using huggingface_hub

checkpoint-800/config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Dark",
+    "1": "Light",
+    "2": "Green",
+    "3": "Medium"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Dark": 0,
+    "Green": 2,
+    "Light": 1,
+    "Medium": 3
+  },
+  "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": "4.33.2"
+}

checkpoint-800/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4aa5c46d6adffb9741ca22189259ac0f7ab1bf7d53d7272008c0d715537f67e7
+size 686580741

checkpoint-800/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-800/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbecd0b9bec68e83769deed754a6b4a25bd341e10b3d50329e7844900866092e
+size 343274861

checkpoint-800/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:522be1b5b04a672dfb5e300e87269730e5307c483255e39df7540dac023f763c
+size 14575

checkpoint-800/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ae19ae0d6dd1edea8e41e4c43d6c38e46eb87880006ebe531f416dc757c2a9c
+size 627

checkpoint-800/trainer_state.json

@@ -0,0 +1,205 @@
+{
+  "best_metric": 0.07743142545223236,
+  "best_model_checkpoint": "coffee_bean_roast_image_detection/checkpoint-800",
+  "epoch": 20.0,
+  "eval_steps": 500,
+  "global_step": 800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.575,
+      "eval_loss": 1.3115463256835938,
+      "eval_runtime": 3.3549,
+      "eval_samples_per_second": 95.383,
+      "eval_steps_per_second": 11.923,
+      "step": 40
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9875,
+      "eval_loss": 0.8255667686462402,
+      "eval_runtime": 3.6838,
+      "eval_samples_per_second": 86.866,
+      "eval_steps_per_second": 10.858,
+      "step": 80
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9875,
+      "eval_loss": 0.45011472702026367,
+      "eval_runtime": 3.1465,
+      "eval_samples_per_second": 101.702,
+      "eval_steps_per_second": 12.713,
+      "step": 120
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.25690728425979614,
+      "eval_runtime": 3.1623,
+      "eval_samples_per_second": 101.193,
+      "eval_steps_per_second": 12.649,
+      "step": 160
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.1882997453212738,
+      "eval_runtime": 3.1267,
+      "eval_samples_per_second": 102.345,
+      "eval_steps_per_second": 12.793,
+      "step": 200
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.15578608214855194,
+      "eval_runtime": 3.1524,
+      "eval_samples_per_second": 101.51,
+      "eval_steps_per_second": 12.689,
+      "step": 240
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.134218230843544,
+      "eval_runtime": 3.117,
+      "eval_samples_per_second": 102.663,
+      "eval_steps_per_second": 12.833,
+      "step": 280
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.12063417583703995,
+      "eval_runtime": 3.1052,
+      "eval_samples_per_second": 103.051,
+      "eval_steps_per_second": 12.881,
+      "step": 320
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.11030121147632599,
+      "eval_runtime": 3.066,
+      "eval_samples_per_second": 104.369,
+      "eval_steps_per_second": 13.046,
+      "step": 360
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.1020951122045517,
+      "eval_runtime": 3.4379,
+      "eval_samples_per_second": 93.079,
+      "eval_steps_per_second": 11.635,
+      "step": 400
+    },
+    {
+      "epoch": 11.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.09595195204019547,
+      "eval_runtime": 3.1194,
+      "eval_samples_per_second": 102.584,
+      "eval_steps_per_second": 12.823,
+      "step": 440
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.09071190655231476,
+      "eval_runtime": 3.1024,
+      "eval_samples_per_second": 103.147,
+      "eval_steps_per_second": 12.893,
+      "step": 480
+    },
+    {
+      "epoch": 12.5,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 0.3247,
+      "step": 500
+    },
+    {
+      "epoch": 13.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.0872669592499733,
+      "eval_runtime": 3.1032,
+      "eval_samples_per_second": 103.121,
+      "eval_steps_per_second": 12.89,
+      "step": 520
+    },
+    {
+      "epoch": 14.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.08464421331882477,
+      "eval_runtime": 3.1631,
+      "eval_samples_per_second": 101.167,
+      "eval_steps_per_second": 12.646,
+      "step": 560
+    },
+    {
+      "epoch": 15.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.08224447816610336,
+      "eval_runtime": 3.4996,
+      "eval_samples_per_second": 91.439,
+      "eval_steps_per_second": 11.43,
+      "step": 600
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.08035526424646378,
+      "eval_runtime": 3.1085,
+      "eval_samples_per_second": 102.945,
+      "eval_steps_per_second": 12.868,
+      "step": 640
+    },
+    {
+      "epoch": 17.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.0789288580417633,
+      "eval_runtime": 3.1079,
+      "eval_samples_per_second": 102.965,
+      "eval_steps_per_second": 12.871,
+      "step": 680
+    },
+    {
+      "epoch": 18.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.07813367992639542,
+      "eval_runtime": 3.1201,
+      "eval_samples_per_second": 102.561,
+      "eval_steps_per_second": 12.82,
+      "step": 720
+    },
+    {
+      "epoch": 19.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.07762228697538376,
+      "eval_runtime": 3.1702,
+      "eval_samples_per_second": 100.94,
+      "eval_steps_per_second": 12.618,
+      "step": 760
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 1.0,
+      "eval_loss": 0.07743142545223236,
+      "eval_runtime": 3.3252,
+      "eval_samples_per_second": 96.233,
+      "eval_steps_per_second": 12.029,
+      "step": 800
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 800,
+  "num_train_epochs": 20,
+  "save_steps": 500,
+  "total_flos": 1.9838304943865856e+18,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-800/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9798b7866221dcf28a7b13f2e79961d20c78496b489a1cc4ba1f1599f62f20b2
+size 4027

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Dark",
+    "1": "Light",
+    "2": "Green",
+    "3": "Medium"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Dark": 0,
+    "Green": 2,
+    "Light": 1,
+    "Medium": 3
+  },
+  "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": "4.33.2"
+}

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
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbecd0b9bec68e83769deed754a6b4a25bd341e10b3d50329e7844900866092e
+size 343274861

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9798b7866221dcf28a7b13f2e79961d20c78496b489a1cc4ba1f1599f62f20b2
+size 4027