End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5833333333333334
+      value: 0.6111111111111112
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3367
-- Accuracy: 0.5833
+- Loss: 1.4708
+- Accuracy: 0.6111
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.6111111111111112,
+    "eval_loss": 1.4708439111709595,
+    "eval_runtime": 0.5792,
+    "eval_samples_per_second": 62.159,
+    "eval_steps_per_second": 3.453,
+    "total_flos": 8.766873360020644e+17,
+    "train_loss": 0.6182592821121216,
+    "train_runtime": 548.4283,
+    "train_samples_per_second": 36.103,
+    "train_steps_per_second": 0.182
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.6111111111111112,
+    "eval_loss": 1.4708439111709595,
+    "eval_runtime": 0.5792,
+    "eval_samples_per_second": 62.159,
+    "eval_steps_per_second": 3.453
+}

runs/May23_13-32-16_2bc4f829fe52/events.out.tfevents.1716471717.2bc4f829fe52.989.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b639bed7deca52b0174622f53e5eba8bc8cb277b11c1a991210b4d1e141ec263
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "total_flos": 8.766873360020644e+17,
+    "train_loss": 0.6182592821121216,
+    "train_runtime": 548.4283,
+    "train_samples_per_second": 36.103,
+    "train_steps_per_second": 0.182
+}

trainer_state.json

@@ -0,0 +1,643 @@
+{
+  "best_metric": 0.6111111111111112,
+  "best_model_checkpoint": "beit-base-patch16-224-hasta-55-fold5/checkpoint-66",
+  "epoch": 57.142857142857146,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.5714285714285714,
+      "eval_accuracy": 0.3055555555555556,
+      "eval_loss": 1.224039912223816,
+      "eval_runtime": 0.4999,
+      "eval_samples_per_second": 72.015,
+      "eval_steps_per_second": 4.001,
+      "step": 1
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "eval_accuracy": 0.3055555555555556,
+      "eval_loss": 1.2263083457946777,
+      "eval_runtime": 0.5056,
+      "eval_samples_per_second": 71.208,
+      "eval_steps_per_second": 3.956,
+      "step": 3
+    },
+    {
+      "epoch": 2.857142857142857,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.222222924232483,
+      "eval_runtime": 0.4995,
+      "eval_samples_per_second": 72.078,
+      "eval_steps_per_second": 4.004,
+      "step": 5
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.1690114736557007,
+      "eval_runtime": 0.5114,
+      "eval_samples_per_second": 70.4,
+      "eval_steps_per_second": 3.911,
+      "step": 7
+    },
+    {
+      "epoch": 4.571428571428571,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.1690934896469116,
+      "eval_runtime": 0.5013,
+      "eval_samples_per_second": 71.81,
+      "eval_steps_per_second": 3.989,
+      "step": 8
+    },
+    {
+      "epoch": 5.714285714285714,
+      "grad_norm": 14.338200569152832,
+      "learning_rate": 5e-05,
+      "loss": 1.1249,
+      "step": 10
+    },
+    {
+      "epoch": 5.714285714285714,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.0998698472976685,
+      "eval_runtime": 0.5067,
+      "eval_samples_per_second": 71.041,
+      "eval_steps_per_second": 3.947,
+      "step": 10
+    },
+    {
+      "epoch": 6.857142857142857,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.160466194152832,
+      "eval_runtime": 0.5043,
+      "eval_samples_per_second": 71.382,
+      "eval_steps_per_second": 3.966,
+      "step": 12
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.191159725189209,
+      "eval_runtime": 0.5042,
+      "eval_samples_per_second": 71.4,
+      "eval_steps_per_second": 3.967,
+      "step": 14
+    },
+    {
+      "epoch": 8.571428571428571,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.1770739555358887,
+      "eval_runtime": 0.5018,
+      "eval_samples_per_second": 71.738,
+      "eval_steps_per_second": 3.985,
+      "step": 15
+    },
+    {
+      "epoch": 9.714285714285714,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.2369838953018188,
+      "eval_runtime": 0.5155,
+      "eval_samples_per_second": 69.832,
+      "eval_steps_per_second": 3.88,
+      "step": 17
+    },
+    {
+      "epoch": 10.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.2607200145721436,
+      "eval_runtime": 0.5092,
+      "eval_samples_per_second": 70.697,
+      "eval_steps_per_second": 3.928,
+      "step": 19
+    },
+    {
+      "epoch": 11.428571428571429,
+      "grad_norm": 11.004097938537598,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 0.9274,
+      "step": 20
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.2755682468414307,
+      "eval_runtime": 0.5154,
+      "eval_samples_per_second": 69.842,
+      "eval_steps_per_second": 3.88,
+      "step": 21
+    },
+    {
+      "epoch": 12.571428571428571,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.2208017110824585,
+      "eval_runtime": 0.5003,
+      "eval_samples_per_second": 71.961,
+      "eval_steps_per_second": 3.998,
+      "step": 22
+    },
+    {
+      "epoch": 13.714285714285714,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.3705171346664429,
+      "eval_runtime": 0.516,
+      "eval_samples_per_second": 69.762,
+      "eval_steps_per_second": 3.876,
+      "step": 24
+    },
+    {
+      "epoch": 14.857142857142858,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.21907377243042,
+      "eval_runtime": 0.4969,
+      "eval_samples_per_second": 72.448,
+      "eval_steps_per_second": 4.025,
+      "step": 26
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.3502026796340942,
+      "eval_runtime": 0.5251,
+      "eval_samples_per_second": 68.554,
+      "eval_steps_per_second": 3.809,
+      "step": 28
+    },
+    {
+      "epoch": 16.571428571428573,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.262834072113037,
+      "eval_runtime": 0.511,
+      "eval_samples_per_second": 70.447,
+      "eval_steps_per_second": 3.914,
+      "step": 29
+    },
+    {
+      "epoch": 17.142857142857142,
+      "grad_norm": 8.800963401794434,
+      "learning_rate": 3.888888888888889e-05,
+      "loss": 0.7889,
+      "step": 30
+    },
+    {
+      "epoch": 17.714285714285715,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0868184566497803,
+      "eval_runtime": 0.5072,
+      "eval_samples_per_second": 70.984,
+      "eval_steps_per_second": 3.944,
+      "step": 31
+    },
+    {
+      "epoch": 18.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.3982720375061035,
+      "eval_runtime": 0.5038,
+      "eval_samples_per_second": 71.454,
+      "eval_steps_per_second": 3.97,
+      "step": 33
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.2536911964416504,
+      "eval_runtime": 0.5123,
+      "eval_samples_per_second": 70.278,
+      "eval_steps_per_second": 3.904,
+      "step": 35
+    },
+    {
+      "epoch": 20.571428571428573,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.153983473777771,
+      "eval_runtime": 0.5038,
+      "eval_samples_per_second": 71.464,
+      "eval_steps_per_second": 3.97,
+      "step": 36
+    },
+    {
+      "epoch": 21.714285714285715,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.2135456800460815,
+      "eval_runtime": 0.5134,
+      "eval_samples_per_second": 70.118,
+      "eval_steps_per_second": 3.895,
+      "step": 38
+    },
+    {
+      "epoch": 22.857142857142858,
+      "grad_norm": 14.012792587280273,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.7027,
+      "step": 40
+    },
+    {
+      "epoch": 22.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.4271180629730225,
+      "eval_runtime": 0.514,
+      "eval_samples_per_second": 70.044,
+      "eval_steps_per_second": 3.891,
+      "step": 40
+    },
+    {
+      "epoch": 24.0,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.1827939748764038,
+      "eval_runtime": 0.4998,
+      "eval_samples_per_second": 72.026,
+      "eval_steps_per_second": 4.001,
+      "step": 42
+    },
+    {
+      "epoch": 24.571428571428573,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 1.2125780582427979,
+      "eval_runtime": 0.504,
+      "eval_samples_per_second": 71.427,
+      "eval_steps_per_second": 3.968,
+      "step": 43
+    },
+    {
+      "epoch": 25.714285714285715,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.4979578256607056,
+      "eval_runtime": 0.4967,
+      "eval_samples_per_second": 72.472,
+      "eval_steps_per_second": 4.026,
+      "step": 45
+    },
+    {
+      "epoch": 26.857142857142858,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.3495233058929443,
+      "eval_runtime": 0.5247,
+      "eval_samples_per_second": 68.612,
+      "eval_steps_per_second": 3.812,
+      "step": 47
+    },
+    {
+      "epoch": 28.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.1969157457351685,
+      "eval_runtime": 0.5085,
+      "eval_samples_per_second": 70.796,
+      "eval_steps_per_second": 3.933,
+      "step": 49
+    },
+    {
+      "epoch": 28.571428571428573,
+      "grad_norm": 8.97653865814209,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.6037,
+      "step": 50
+    },
+    {
+      "epoch": 28.571428571428573,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.206262230873108,
+      "eval_runtime": 0.5003,
+      "eval_samples_per_second": 71.953,
+      "eval_steps_per_second": 3.997,
+      "step": 50
+    },
+    {
+      "epoch": 29.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.311498761177063,
+      "eval_runtime": 0.5037,
+      "eval_samples_per_second": 71.469,
+      "eval_steps_per_second": 3.97,
+      "step": 52
+    },
+    {
+      "epoch": 30.857142857142858,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.172597050666809,
+      "eval_runtime": 0.5127,
+      "eval_samples_per_second": 70.221,
+      "eval_steps_per_second": 3.901,
+      "step": 54
+    },
+    {
+      "epoch": 32.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.1872016191482544,
+      "eval_runtime": 0.504,
+      "eval_samples_per_second": 71.425,
+      "eval_steps_per_second": 3.968,
+      "step": 56
+    },
+    {
+      "epoch": 32.57142857142857,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.2399052381515503,
+      "eval_runtime": 0.5208,
+      "eval_samples_per_second": 69.118,
+      "eval_steps_per_second": 3.84,
+      "step": 57
+    },
+    {
+      "epoch": 33.714285714285715,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.256636142730713,
+      "eval_runtime": 0.505,
+      "eval_samples_per_second": 71.294,
+      "eval_steps_per_second": 3.961,
+      "step": 59
+    },
+    {
+      "epoch": 34.285714285714285,
+      "grad_norm": 7.767446517944336,
+      "learning_rate": 2.2222222222222223e-05,
+      "loss": 0.5147,
+      "step": 60
+    },
+    {
+      "epoch": 34.857142857142854,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.1848201751708984,
+      "eval_runtime": 0.5003,
+      "eval_samples_per_second": 71.953,
+      "eval_steps_per_second": 3.997,
+      "step": 61
+    },
+    {
+      "epoch": 36.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.2614126205444336,
+      "eval_runtime": 0.5014,
+      "eval_samples_per_second": 71.793,
+      "eval_steps_per_second": 3.989,
+      "step": 63
+    },
+    {
+      "epoch": 36.57142857142857,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.3974634408950806,
+      "eval_runtime": 0.5092,
+      "eval_samples_per_second": 70.692,
+      "eval_steps_per_second": 3.927,
+      "step": 64
+    },
+    {
+      "epoch": 37.714285714285715,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.4708439111709595,
+      "eval_runtime": 0.5108,
+      "eval_samples_per_second": 70.483,
+      "eval_steps_per_second": 3.916,
+      "step": 66
+    },
+    {
+      "epoch": 38.857142857142854,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.3232808113098145,
+      "eval_runtime": 0.5032,
+      "eval_samples_per_second": 71.537,
+      "eval_steps_per_second": 3.974,
+      "step": 68
+    },
+    {
+      "epoch": 40.0,
+      "grad_norm": 11.204297065734863,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.4004,
+      "step": 70
+    },
+    {
+      "epoch": 40.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.2993547916412354,
+      "eval_runtime": 0.5005,
+      "eval_samples_per_second": 71.925,
+      "eval_steps_per_second": 3.996,
+      "step": 70
+    },
+    {
+      "epoch": 40.57142857142857,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.3582478761672974,
+      "eval_runtime": 0.5037,
+      "eval_samples_per_second": 71.476,
+      "eval_steps_per_second": 3.971,
+      "step": 71
+    },
+    {
+      "epoch": 41.714285714285715,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.357726812362671,
+      "eval_runtime": 0.4964,
+      "eval_samples_per_second": 72.523,
+      "eval_steps_per_second": 4.029,
+      "step": 73
+    },
+    {
+      "epoch": 42.857142857142854,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.1984590291976929,
+      "eval_runtime": 0.5023,
+      "eval_samples_per_second": 71.675,
+      "eval_steps_per_second": 3.982,
+      "step": 75
+    },
+    {
+      "epoch": 44.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.1447665691375732,
+      "eval_runtime": 0.532,
+      "eval_samples_per_second": 67.67,
+      "eval_steps_per_second": 3.759,
+      "step": 77
+    },
+    {
+      "epoch": 44.57142857142857,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.1713652610778809,
+      "eval_runtime": 0.535,
+      "eval_samples_per_second": 67.284,
+      "eval_steps_per_second": 3.738,
+      "step": 78
+    },
+    {
+      "epoch": 45.714285714285715,
+      "grad_norm": 7.631770610809326,
+      "learning_rate": 1.1111111111111112e-05,
+      "loss": 0.4323,
+      "step": 80
+    },
+    {
+      "epoch": 45.714285714285715,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.3706693649291992,
+      "eval_runtime": 0.5033,
+      "eval_samples_per_second": 71.523,
+      "eval_steps_per_second": 3.974,
+      "step": 80
+    },
+    {
+      "epoch": 46.857142857142854,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.5476651191711426,
+      "eval_runtime": 0.5152,
+      "eval_samples_per_second": 69.869,
+      "eval_steps_per_second": 3.882,
+      "step": 82
+    },
+    {
+      "epoch": 48.0,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.4254441261291504,
+      "eval_runtime": 0.5068,
+      "eval_samples_per_second": 71.031,
+      "eval_steps_per_second": 3.946,
+      "step": 84
+    },
+    {
+      "epoch": 48.57142857142857,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.3030650615692139,
+      "eval_runtime": 0.5417,
+      "eval_samples_per_second": 66.453,
+      "eval_steps_per_second": 3.692,
+      "step": 85
+    },
+    {
+      "epoch": 49.714285714285715,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.184296727180481,
+      "eval_runtime": 0.5126,
+      "eval_samples_per_second": 70.226,
+      "eval_steps_per_second": 3.901,
+      "step": 87
+    },
+    {
+      "epoch": 50.857142857142854,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.183534026145935,
+      "eval_runtime": 0.5116,
+      "eval_samples_per_second": 70.369,
+      "eval_steps_per_second": 3.909,
+      "step": 89
+    },
+    {
+      "epoch": 51.42857142857143,
+      "grad_norm": 13.801889419555664,
+      "learning_rate": 5.555555555555556e-06,
+      "loss": 0.3568,
+      "step": 90
+    },
+    {
+      "epoch": 52.0,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.239859700202942,
+      "eval_runtime": 0.5067,
+      "eval_samples_per_second": 71.052,
+      "eval_steps_per_second": 3.947,
+      "step": 91
+    },
+    {
+      "epoch": 52.57142857142857,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.2605737447738647,
+      "eval_runtime": 0.5239,
+      "eval_samples_per_second": 68.721,
+      "eval_steps_per_second": 3.818,
+      "step": 92
+    },
+    {
+      "epoch": 53.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.2996666431427002,
+      "eval_runtime": 0.5241,
+      "eval_samples_per_second": 68.683,
+      "eval_steps_per_second": 3.816,
+      "step": 94
+    },
+    {
+      "epoch": 54.857142857142854,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.3183656930923462,
+      "eval_runtime": 0.5059,
+      "eval_samples_per_second": 71.165,
+      "eval_steps_per_second": 3.954,
+      "step": 96
+    },
+    {
+      "epoch": 56.0,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.329425573348999,
+      "eval_runtime": 0.5234,
+      "eval_samples_per_second": 68.778,
+      "eval_steps_per_second": 3.821,
+      "step": 98
+    },
+    {
+      "epoch": 56.57142857142857,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.333736777305603,
+      "eval_runtime": 0.5056,
+      "eval_samples_per_second": 71.206,
+      "eval_steps_per_second": 3.956,
+      "step": 99
+    },
+    {
+      "epoch": 57.142857142857146,
+      "grad_norm": 10.05569839477539,
+      "learning_rate": 0.0,
+      "loss": 0.3308,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.3367365598678589,
+      "eval_runtime": 0.5052,
+      "eval_samples_per_second": 71.264,
+      "eval_steps_per_second": 3.959,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "step": 100,
+      "total_flos": 8.766873360020644e+17,
+      "train_loss": 0.6182592821121216,
+      "train_runtime": 548.4283,
+      "train_samples_per_second": 36.103,
+      "train_steps_per_second": 0.182
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 1.4708439111709595,
+      "eval_runtime": 0.5792,
+      "eval_samples_per_second": 62.159,
+      "eval_steps_per_second": 3.453,
+      "step": 100
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 100,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 8.766873360020644e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}