Upload 6 files

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 2.96,
+    "eval_accuracy": 0.8327526132404182,
+    "eval_loss": 0.3846690058708191,
+    "eval_runtime": 64.0922,
+    "eval_samples_per_second": 4.478,
+    "eval_steps_per_second": 0.14,
+    "total_flos": 1.9045723068223488e+17,
+    "train_loss": 0.6770469148953756,
+    "train_runtime": 5445.1813,
+    "train_samples_per_second": 1.423,
+    "train_steps_per_second": 0.011
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.96,
+    "eval_accuracy": 0.8327526132404182,
+    "eval_loss": 0.3846690058708191,
+    "eval_runtime": 64.0922,
+    "eval_samples_per_second": 4.478,
+    "eval_steps_per_second": 0.14
+}

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.96,
+    "total_flos": 1.9045723068223488e+17,
+    "train_loss": 0.6770469148953756,
+    "train_runtime": 5445.1813,
+    "train_samples_per_second": 1.423,
+    "train_steps_per_second": 0.011
+}

trainer_state.json

@@ -0,0 +1,99 @@
+{
+  "best_metric": 0.8327526132404182,
+  "best_model_checkpoint": "swin-tiny-patch4-window7-224-brain-tumour-classification/checkpoint-60",
+  "epoch": 2.962962962962963,
+  "eval_steps": 500,
+  "global_step": 60,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.49,
+      "grad_norm": 7.377062797546387,
+      "learning_rate": 4.62962962962963e-05,
+      "loss": 1.2993,
+      "step": 10
+    },
+    {
+      "epoch": 0.99,
+      "grad_norm": 8.843204498291016,
+      "learning_rate": 3.7037037037037037e-05,
+      "loss": 0.8673,
+      "step": 20
+    },
+    {
+      "epoch": 0.99,
+      "eval_accuracy": 0.7456445993031359,
+      "eval_loss": 0.6314167380332947,
+      "eval_runtime": 68.7483,
+      "eval_samples_per_second": 4.175,
+      "eval_steps_per_second": 0.131,
+      "step": 20
+    },
+    {
+      "epoch": 1.48,
+      "grad_norm": 13.86172866821289,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.5745,
+      "step": 30
+    },
+    {
+      "epoch": 1.98,
+      "grad_norm": 90.3827133178711,
+      "learning_rate": 1.8518518518518518e-05,
+      "loss": 0.499,
+      "step": 40
+    },
+    {
+      "epoch": 1.98,
+      "eval_accuracy": 0.8153310104529616,
+      "eval_loss": 0.4273669421672821,
+      "eval_runtime": 63.007,
+      "eval_samples_per_second": 4.555,
+      "eval_steps_per_second": 0.143,
+      "step": 40
+    },
+    {
+      "epoch": 2.47,
+      "grad_norm": 13.6727933883667,
+      "learning_rate": 9.259259259259259e-06,
+      "loss": 0.4234,
+      "step": 50
+    },
+    {
+      "epoch": 2.96,
+      "grad_norm": 10.45642375946045,
+      "learning_rate": 0.0,
+      "loss": 0.3988,
+      "step": 60
+    },
+    {
+      "epoch": 2.96,
+      "eval_accuracy": 0.8327526132404182,
+      "eval_loss": 0.3846690058708191,
+      "eval_runtime": 63.2618,
+      "eval_samples_per_second": 4.537,
+      "eval_steps_per_second": 0.142,
+      "step": 60
+    },
+    {
+      "epoch": 2.96,
+      "step": 60,
+      "total_flos": 1.9045723068223488e+17,
+      "train_loss": 0.6770469148953756,
+      "train_runtime": 5445.1813,
+      "train_samples_per_second": 1.423,
+      "train_steps_per_second": 0.011
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 60,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 1.9045723068223488e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0b92961b51973632c22051886f1d840389e4c72576cf08d0901674ec167a361
+size 4984