End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5833333333333334
+      value: 0.75
 ---
 
 <!-- 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: 0.7926
-- Accuracy: 0.5833
+- Loss: 0.6728
+- Accuracy: 0.75
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.75,
+    "eval_loss": 0.6727918982505798,
+    "eval_runtime": 0.5466,
+    "eval_samples_per_second": 65.861,
+    "eval_steps_per_second": 3.659,
+    "total_flos": 8.899329213047992e+17,
+    "train_loss": 0.6512869620323181,
+    "train_runtime": 554.4555,
+    "train_samples_per_second": 36.252,
+    "train_steps_per_second": 0.18
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.75,
+    "eval_loss": 0.6727918982505798,
+    "eval_runtime": 0.5466,
+    "eval_samples_per_second": 65.861,
+    "eval_steps_per_second": 3.659
+}

runs/May23_13-51-53_2bc4f829fe52/events.out.tfevents.1716472896.2bc4f829fe52.989.13

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:344547e3788dfa0b76da3382387ab138e4b93b94b65bcbb2c776c06f245a4913
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "total_flos": 8.899329213047992e+17,
+    "train_loss": 0.6512869620323181,
+    "train_runtime": 554.4555,
+    "train_samples_per_second": 36.252,
+    "train_steps_per_second": 0.18
+}

trainer_state.json

@@ -0,0 +1,643 @@
+{
+  "best_metric": 0.75,
+  "best_model_checkpoint": "beit-base-patch16-224-hasta-65-fold2/checkpoint-70",
+  "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": 1.3013406991958618,
+      "eval_runtime": 0.5044,
+      "eval_samples_per_second": 71.372,
+      "eval_steps_per_second": 3.965,
+      "step": 1
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "eval_accuracy": 0.2777777777777778,
+      "eval_loss": 1.2798850536346436,
+      "eval_runtime": 0.5041,
+      "eval_samples_per_second": 71.421,
+      "eval_steps_per_second": 3.968,
+      "step": 3
+    },
+    {
+      "epoch": 2.857142857142857,
+      "eval_accuracy": 0.3333333333333333,
+      "eval_loss": 1.25881028175354,
+      "eval_runtime": 0.5099,
+      "eval_samples_per_second": 70.6,
+      "eval_steps_per_second": 3.922,
+      "step": 5
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.1295994520187378,
+      "eval_runtime": 0.5017,
+      "eval_samples_per_second": 71.749,
+      "eval_steps_per_second": 3.986,
+      "step": 7
+    },
+    {
+      "epoch": 4.571428571428571,
+      "eval_accuracy": 0.3611111111111111,
+      "eval_loss": 1.1295137405395508,
+      "eval_runtime": 0.5037,
+      "eval_samples_per_second": 71.465,
+      "eval_steps_per_second": 3.97,
+      "step": 8
+    },
+    {
+      "epoch": 5.714285714285714,
+      "grad_norm": 5.352811813354492,
+      "learning_rate": 5e-05,
+      "loss": 1.1611,
+      "step": 10
+    },
+    {
+      "epoch": 5.714285714285714,
+      "eval_accuracy": 0.25,
+      "eval_loss": 1.2688605785369873,
+      "eval_runtime": 0.4898,
+      "eval_samples_per_second": 73.493,
+      "eval_steps_per_second": 4.083,
+      "step": 10
+    },
+    {
+      "epoch": 6.857142857142857,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.0894914865493774,
+      "eval_runtime": 0.4962,
+      "eval_samples_per_second": 72.556,
+      "eval_steps_per_second": 4.031,
+      "step": 12
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0977829694747925,
+      "eval_runtime": 0.4938,
+      "eval_samples_per_second": 72.909,
+      "eval_steps_per_second": 4.05,
+      "step": 14
+    },
+    {
+      "epoch": 8.571428571428571,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.1167902946472168,
+      "eval_runtime": 0.4961,
+      "eval_samples_per_second": 72.565,
+      "eval_steps_per_second": 4.031,
+      "step": 15
+    },
+    {
+      "epoch": 9.714285714285714,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.0844398736953735,
+      "eval_runtime": 0.5056,
+      "eval_samples_per_second": 71.205,
+      "eval_steps_per_second": 3.956,
+      "step": 17
+    },
+    {
+      "epoch": 10.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0475748777389526,
+      "eval_runtime": 0.522,
+      "eval_samples_per_second": 68.966,
+      "eval_steps_per_second": 3.831,
+      "step": 19
+    },
+    {
+      "epoch": 11.428571428571429,
+      "grad_norm": 7.376298904418945,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 0.9913,
+      "step": 20
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.2314592599868774,
+      "eval_runtime": 0.4964,
+      "eval_samples_per_second": 72.521,
+      "eval_steps_per_second": 4.029,
+      "step": 21
+    },
+    {
+      "epoch": 12.571428571428571,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.1443606615066528,
+      "eval_runtime": 0.4944,
+      "eval_samples_per_second": 72.822,
+      "eval_steps_per_second": 4.046,
+      "step": 22
+    },
+    {
+      "epoch": 13.714285714285714,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0241702795028687,
+      "eval_runtime": 0.4918,
+      "eval_samples_per_second": 73.196,
+      "eval_steps_per_second": 4.066,
+      "step": 24
+    },
+    {
+      "epoch": 14.857142857142858,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.0495141744613647,
+      "eval_runtime": 0.4977,
+      "eval_samples_per_second": 72.33,
+      "eval_steps_per_second": 4.018,
+      "step": 26
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.1233758926391602,
+      "eval_runtime": 0.4935,
+      "eval_samples_per_second": 72.955,
+      "eval_steps_per_second": 4.053,
+      "step": 28
+    },
+    {
+      "epoch": 16.571428571428573,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.2331656217575073,
+      "eval_runtime": 0.4988,
+      "eval_samples_per_second": 72.17,
+      "eval_steps_per_second": 4.009,
+      "step": 29
+    },
+    {
+      "epoch": 17.142857142857142,
+      "grad_norm": 8.922948837280273,
+      "learning_rate": 3.888888888888889e-05,
+      "loss": 0.9206,
+      "step": 30
+    },
+    {
+      "epoch": 17.714285714285715,
+      "eval_accuracy": 0.3611111111111111,
+      "eval_loss": 1.4389086961746216,
+      "eval_runtime": 0.5072,
+      "eval_samples_per_second": 70.985,
+      "eval_steps_per_second": 3.944,
+      "step": 31
+    },
+    {
+      "epoch": 18.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.029965877532959,
+      "eval_runtime": 0.5007,
+      "eval_samples_per_second": 71.895,
+      "eval_steps_per_second": 3.994,
+      "step": 33
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.0027683973312378,
+      "eval_runtime": 0.4936,
+      "eval_samples_per_second": 72.932,
+      "eval_steps_per_second": 4.052,
+      "step": 35
+    },
+    {
+      "epoch": 20.571428571428573,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0321506261825562,
+      "eval_runtime": 0.5024,
+      "eval_samples_per_second": 71.656,
+      "eval_steps_per_second": 3.981,
+      "step": 36
+    },
+    {
+      "epoch": 21.714285714285715,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.0870566368103027,
+      "eval_runtime": 0.5054,
+      "eval_samples_per_second": 71.224,
+      "eval_steps_per_second": 3.957,
+      "step": 38
+    },
+    {
+      "epoch": 22.857142857142858,
+      "grad_norm": 4.528126239776611,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.7309,
+      "step": 40
+    },
+    {
+      "epoch": 22.857142857142858,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9615763425827026,
+      "eval_runtime": 0.5112,
+      "eval_samples_per_second": 70.426,
+      "eval_steps_per_second": 3.913,
+      "step": 40
+    },
+    {
+      "epoch": 24.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9571282267570496,
+      "eval_runtime": 0.4991,
+      "eval_samples_per_second": 72.137,
+      "eval_steps_per_second": 4.008,
+      "step": 42
+    },
+    {
+      "epoch": 24.571428571428573,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9854538440704346,
+      "eval_runtime": 0.5234,
+      "eval_samples_per_second": 68.775,
+      "eval_steps_per_second": 3.821,
+      "step": 43
+    },
+    {
+      "epoch": 25.714285714285715,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9597752094268799,
+      "eval_runtime": 0.4935,
+      "eval_samples_per_second": 72.946,
+      "eval_steps_per_second": 4.053,
+      "step": 45
+    },
+    {
+      "epoch": 26.857142857142858,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.977421224117279,
+      "eval_runtime": 0.4919,
+      "eval_samples_per_second": 73.189,
+      "eval_steps_per_second": 4.066,
+      "step": 47
+    },
+    {
+      "epoch": 28.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9204927086830139,
+      "eval_runtime": 0.4938,
+      "eval_samples_per_second": 72.906,
+      "eval_steps_per_second": 4.05,
+      "step": 49
+    },
+    {
+      "epoch": 28.571428571428573,
+      "grad_norm": 6.5547027587890625,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.6039,
+      "step": 50
+    },
+    {
+      "epoch": 28.571428571428573,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.907256007194519,
+      "eval_runtime": 0.4929,
+      "eval_samples_per_second": 73.032,
+      "eval_steps_per_second": 4.057,
+      "step": 50
+    },
+    {
+      "epoch": 29.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.8644082546234131,
+      "eval_runtime": 0.5082,
+      "eval_samples_per_second": 70.843,
+      "eval_steps_per_second": 3.936,
+      "step": 52
+    },
+    {
+      "epoch": 30.857142857142858,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.893060564994812,
+      "eval_runtime": 0.4969,
+      "eval_samples_per_second": 72.456,
+      "eval_steps_per_second": 4.025,
+      "step": 54
+    },
+    {
+      "epoch": 32.0,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.8686391115188599,
+      "eval_runtime": 0.4943,
+      "eval_samples_per_second": 72.823,
+      "eval_steps_per_second": 4.046,
+      "step": 56
+    },
+    {
+      "epoch": 32.57142857142857,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.8380641937255859,
+      "eval_runtime": 0.4948,
+      "eval_samples_per_second": 72.763,
+      "eval_steps_per_second": 4.042,
+      "step": 57
+    },
+    {
+      "epoch": 33.714285714285715,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.8658040165901184,
+      "eval_runtime": 0.5037,
+      "eval_samples_per_second": 71.471,
+      "eval_steps_per_second": 3.971,
+      "step": 59
+    },
+    {
+      "epoch": 34.285714285714285,
+      "grad_norm": 8.450542449951172,
+      "learning_rate": 2.2222222222222223e-05,
+      "loss": 0.4784,
+      "step": 60
+    },
+    {
+      "epoch": 34.857142857142854,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.991539716720581,
+      "eval_runtime": 0.5076,
+      "eval_samples_per_second": 70.918,
+      "eval_steps_per_second": 3.94,
+      "step": 61
+    },
+    {
+      "epoch": 36.0,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.7971311807632446,
+      "eval_runtime": 0.5042,
+      "eval_samples_per_second": 71.398,
+      "eval_steps_per_second": 3.967,
+      "step": 63
+    },
+    {
+      "epoch": 36.57142857142857,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.7682293653488159,
+      "eval_runtime": 0.5041,
+      "eval_samples_per_second": 71.418,
+      "eval_steps_per_second": 3.968,
+      "step": 64
+    },
+    {
+      "epoch": 37.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.9360617399215698,
+      "eval_runtime": 0.4962,
+      "eval_samples_per_second": 72.553,
+      "eval_steps_per_second": 4.031,
+      "step": 66
+    },
+    {
+      "epoch": 38.857142857142854,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.9093003869056702,
+      "eval_runtime": 0.5003,
+      "eval_samples_per_second": 71.951,
+      "eval_steps_per_second": 3.997,
+      "step": 68
+    },
+    {
+      "epoch": 40.0,
+      "grad_norm": 7.291428089141846,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.4469,
+      "step": 70
+    },
+    {
+      "epoch": 40.0,
+      "eval_accuracy": 0.75,
+      "eval_loss": 0.6727918982505798,
+      "eval_runtime": 0.4995,
+      "eval_samples_per_second": 72.069,
+      "eval_steps_per_second": 4.004,
+      "step": 70
+    },
+    {
+      "epoch": 40.57142857142857,
+      "eval_accuracy": 0.7222222222222222,
+      "eval_loss": 0.6414628028869629,
+      "eval_runtime": 0.5093,
+      "eval_samples_per_second": 70.688,
+      "eval_steps_per_second": 3.927,
+      "step": 71
+    },
+    {
+      "epoch": 41.714285714285715,
+      "eval_accuracy": 0.6666666666666666,
+      "eval_loss": 0.7045332193374634,
+      "eval_runtime": 0.4971,
+      "eval_samples_per_second": 72.414,
+      "eval_steps_per_second": 4.023,
+      "step": 73
+    },
+    {
+      "epoch": 42.857142857142854,
+      "eval_accuracy": 0.6388888888888888,
+      "eval_loss": 0.8973742723464966,
+      "eval_runtime": 0.5013,
+      "eval_samples_per_second": 71.811,
+      "eval_steps_per_second": 3.99,
+      "step": 75
+    },
+    {
+      "epoch": 44.0,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.8031913042068481,
+      "eval_runtime": 0.5121,
+      "eval_samples_per_second": 70.3,
+      "eval_steps_per_second": 3.906,
+      "step": 77
+    },
+    {
+      "epoch": 44.57142857142857,
+      "eval_accuracy": 0.6944444444444444,
+      "eval_loss": 0.7133803963661194,
+      "eval_runtime": 0.5003,
+      "eval_samples_per_second": 71.959,
+      "eval_steps_per_second": 3.998,
+      "step": 78
+    },
+    {
+      "epoch": 45.714285714285715,
+      "grad_norm": 10.450151443481445,
+      "learning_rate": 1.1111111111111112e-05,
+      "loss": 0.4329,
+      "step": 80
+    },
+    {
+      "epoch": 45.714285714285715,
+      "eval_accuracy": 0.7222222222222222,
+      "eval_loss": 0.6974515318870544,
+      "eval_runtime": 0.519,
+      "eval_samples_per_second": 69.368,
+      "eval_steps_per_second": 3.854,
+      "step": 80
+    },
+    {
+      "epoch": 46.857142857142854,
+      "eval_accuracy": 0.7222222222222222,
+      "eval_loss": 0.6758300065994263,
+      "eval_runtime": 0.5051,
+      "eval_samples_per_second": 71.277,
+      "eval_steps_per_second": 3.96,
+      "step": 82
+    },
+    {
+      "epoch": 48.0,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.8327140808105469,
+      "eval_runtime": 0.4989,
+      "eval_samples_per_second": 72.159,
+      "eval_steps_per_second": 4.009,
+      "step": 84
+    },
+    {
+      "epoch": 48.57142857142857,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.9089304804801941,
+      "eval_runtime": 0.49,
+      "eval_samples_per_second": 73.464,
+      "eval_steps_per_second": 4.081,
+      "step": 85
+    },
+    {
+      "epoch": 49.714285714285715,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.9157822132110596,
+      "eval_runtime": 0.4989,
+      "eval_samples_per_second": 72.158,
+      "eval_steps_per_second": 4.009,
+      "step": 87
+    },
+    {
+      "epoch": 50.857142857142854,
+      "eval_accuracy": 0.6388888888888888,
+      "eval_loss": 0.8007399439811707,
+      "eval_runtime": 0.502,
+      "eval_samples_per_second": 71.715,
+      "eval_steps_per_second": 3.984,
+      "step": 89
+    },
+    {
+      "epoch": 51.42857142857143,
+      "grad_norm": 5.677727222442627,
+      "learning_rate": 5.555555555555556e-06,
+      "loss": 0.4282,
+      "step": 90
+    },
+    {
+      "epoch": 52.0,
+      "eval_accuracy": 0.6388888888888888,
+      "eval_loss": 0.7362669110298157,
+      "eval_runtime": 0.5031,
+      "eval_samples_per_second": 71.553,
+      "eval_steps_per_second": 3.975,
+      "step": 91
+    },
+    {
+      "epoch": 52.57142857142857,
+      "eval_accuracy": 0.6388888888888888,
+      "eval_loss": 0.737794816493988,
+      "eval_runtime": 0.4965,
+      "eval_samples_per_second": 72.504,
+      "eval_steps_per_second": 4.028,
+      "step": 92
+    },
+    {
+      "epoch": 53.714285714285715,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.7448822855949402,
+      "eval_runtime": 0.494,
+      "eval_samples_per_second": 72.869,
+      "eval_steps_per_second": 4.048,
+      "step": 94
+    },
+    {
+      "epoch": 54.857142857142854,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.7604518532752991,
+      "eval_runtime": 0.5097,
+      "eval_samples_per_second": 70.635,
+      "eval_steps_per_second": 3.924,
+      "step": 96
+    },
+    {
+      "epoch": 56.0,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.7852640151977539,
+      "eval_runtime": 0.4974,
+      "eval_samples_per_second": 72.373,
+      "eval_steps_per_second": 4.021,
+      "step": 98
+    },
+    {
+      "epoch": 56.57142857142857,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.7903004288673401,
+      "eval_runtime": 0.4943,
+      "eval_samples_per_second": 72.829,
+      "eval_steps_per_second": 4.046,
+      "step": 99
+    },
+    {
+      "epoch": 57.142857142857146,
+      "grad_norm": 5.579706192016602,
+      "learning_rate": 0.0,
+      "loss": 0.3188,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.7925503849983215,
+      "eval_runtime": 0.4996,
+      "eval_samples_per_second": 72.055,
+      "eval_steps_per_second": 4.003,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "step": 100,
+      "total_flos": 8.899329213047992e+17,
+      "train_loss": 0.6512869620323181,
+      "train_runtime": 554.4555,
+      "train_samples_per_second": 36.252,
+      "train_steps_per_second": 0.18
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.75,
+      "eval_loss": 0.6727918982505798,
+      "eval_runtime": 0.5466,
+      "eval_samples_per_second": 65.861,
+      "eval_steps_per_second": 3.659,
+      "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": 8.899329213047992e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}