End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4722222222222222
+      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 [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9168
-- Accuracy: 0.4722
+- Loss: 0.8776
+- Accuracy: 0.6111
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.6111111111111112,
+    "eval_loss": 0.8775839805603027,
+    "eval_runtime": 0.5296,
+    "eval_samples_per_second": 67.98,
+    "eval_steps_per_second": 3.777,
+    "total_flos": 8.903293865079828e+17,
+    "train_loss": 0.6641335129737854,
+    "train_runtime": 555.1092,
+    "train_samples_per_second": 36.209,
+    "train_steps_per_second": 0.18
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "eval_accuracy": 0.6111111111111112,
+    "eval_loss": 0.8775839805603027,
+    "eval_runtime": 0.5296,
+    "eval_samples_per_second": 67.98,
+    "eval_steps_per_second": 3.777
+}

runs/May22_14-33-50_927069b479b5/events.out.tfevents.1716389011.927069b479b5.252.19

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:caef5f4dc51ec706a213293d248fb75f59c220c488bcf8ef396e7dddc852d5f7
+size 405

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 57.142857142857146,
+    "total_flos": 8.903293865079828e+17,
+    "train_loss": 0.6641335129737854,
+    "train_runtime": 555.1092,
+    "train_samples_per_second": 36.209,
+    "train_steps_per_second": 0.18
+}

trainer_state.json

@@ -0,0 +1,643 @@
+{
+  "best_metric": 0.6111111111111112,
+  "best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-65-fold2/checkpoint-68",
+  "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": 0.3611111111111111,
+      "eval_loss": 1.2209676504135132,
+      "eval_runtime": 0.4959,
+      "eval_samples_per_second": 72.601,
+      "eval_steps_per_second": 4.033,
+      "step": 1
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "eval_accuracy": 0.2777777777777778,
+      "eval_loss": 1.184085488319397,
+      "eval_runtime": 0.502,
+      "eval_samples_per_second": 71.713,
+      "eval_steps_per_second": 3.984,
+      "step": 3
+    },
+    {
+      "epoch": 2.857142857142857,
+      "eval_accuracy": 0.2777777777777778,
+      "eval_loss": 1.3488738536834717,
+      "eval_runtime": 0.5074,
+      "eval_samples_per_second": 70.954,
+      "eval_steps_per_second": 3.942,
+      "step": 5
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.2777777777777778,
+      "eval_loss": 1.2177715301513672,
+      "eval_runtime": 0.518,
+      "eval_samples_per_second": 69.499,
+      "eval_steps_per_second": 3.861,
+      "step": 7
+    },
+    {
+      "epoch": 4.571428571428571,
+      "eval_accuracy": 0.2222222222222222,
+      "eval_loss": 1.1297016143798828,
+      "eval_runtime": 0.4898,
+      "eval_samples_per_second": 73.502,
+      "eval_steps_per_second": 4.083,
+      "step": 8
+    },
+    {
+      "epoch": 5.714285714285714,
+      "grad_norm": 2.9522297382354736,
+      "learning_rate": 5e-05,
+      "loss": 1.1666,
+      "step": 10
+    },
+    {
+      "epoch": 5.714285714285714,
+      "eval_accuracy": 0.3055555555555556,
+      "eval_loss": 1.12113356590271,
+      "eval_runtime": 0.4846,
+      "eval_samples_per_second": 74.289,
+      "eval_steps_per_second": 4.127,
+      "step": 10
+    },
+    {
+      "epoch": 6.857142857142857,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.0956040620803833,
+      "eval_runtime": 0.4826,
+      "eval_samples_per_second": 74.6,
+      "eval_steps_per_second": 4.144,
+      "step": 12
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.3055555555555556,
+      "eval_loss": 1.0999130010604858,
+      "eval_runtime": 0.4861,
+      "eval_samples_per_second": 74.052,
+      "eval_steps_per_second": 4.114,
+      "step": 14
+    },
+    {
+      "epoch": 8.571428571428571,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.103540062904358,
+      "eval_runtime": 0.4943,
+      "eval_samples_per_second": 72.83,
+      "eval_steps_per_second": 4.046,
+      "step": 15
+    },
+    {
+      "epoch": 9.714285714285714,
+      "eval_accuracy": 0.4166666666666667,
+      "eval_loss": 1.0611950159072876,
+      "eval_runtime": 0.502,
+      "eval_samples_per_second": 71.715,
+      "eval_steps_per_second": 3.984,
+      "step": 17
+    },
+    {
+      "epoch": 10.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0405381917953491,
+      "eval_runtime": 0.4952,
+      "eval_samples_per_second": 72.692,
+      "eval_steps_per_second": 4.038,
+      "step": 19
+    },
+    {
+      "epoch": 11.428571428571429,
+      "grad_norm": 4.649017810821533,
+      "learning_rate": 4.4444444444444447e-05,
+      "loss": 1.0161,
+      "step": 20
+    },
+    {
+      "epoch": 12.0,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.0977853536605835,
+      "eval_runtime": 0.4898,
+      "eval_samples_per_second": 73.504,
+      "eval_steps_per_second": 4.084,
+      "step": 21
+    },
+    {
+      "epoch": 12.571428571428571,
+      "eval_accuracy": 0.3888888888888889,
+      "eval_loss": 1.010968804359436,
+      "eval_runtime": 0.4985,
+      "eval_samples_per_second": 72.223,
+      "eval_steps_per_second": 4.012,
+      "step": 22
+    },
+    {
+      "epoch": 13.714285714285714,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.0061941146850586,
+      "eval_runtime": 0.502,
+      "eval_samples_per_second": 71.712,
+      "eval_steps_per_second": 3.984,
+      "step": 24
+    },
+    {
+      "epoch": 14.857142857142858,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9770500659942627,
+      "eval_runtime": 0.4917,
+      "eval_samples_per_second": 73.223,
+      "eval_steps_per_second": 4.068,
+      "step": 26
+    },
+    {
+      "epoch": 16.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9987720847129822,
+      "eval_runtime": 0.4962,
+      "eval_samples_per_second": 72.55,
+      "eval_steps_per_second": 4.031,
+      "step": 28
+    },
+    {
+      "epoch": 16.571428571428573,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9966822862625122,
+      "eval_runtime": 0.496,
+      "eval_samples_per_second": 72.575,
+      "eval_steps_per_second": 4.032,
+      "step": 29
+    },
+    {
+      "epoch": 17.142857142857142,
+      "grad_norm": 5.285099983215332,
+      "learning_rate": 3.888888888888889e-05,
+      "loss": 0.9177,
+      "step": 30
+    },
+    {
+      "epoch": 17.714285714285715,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 0.999761164188385,
+      "eval_runtime": 0.5028,
+      "eval_samples_per_second": 71.597,
+      "eval_steps_per_second": 3.978,
+      "step": 31
+    },
+    {
+      "epoch": 18.857142857142858,
+      "eval_accuracy": 0.5,
+      "eval_loss": 1.0774204730987549,
+      "eval_runtime": 0.4961,
+      "eval_samples_per_second": 72.566,
+      "eval_steps_per_second": 4.031,
+      "step": 33
+    },
+    {
+      "epoch": 20.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9775403141975403,
+      "eval_runtime": 0.4953,
+      "eval_samples_per_second": 72.679,
+      "eval_steps_per_second": 4.038,
+      "step": 35
+    },
+    {
+      "epoch": 20.571428571428573,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9917855858802795,
+      "eval_runtime": 0.4929,
+      "eval_samples_per_second": 73.035,
+      "eval_steps_per_second": 4.058,
+      "step": 36
+    },
+    {
+      "epoch": 21.714285714285715,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.0066277980804443,
+      "eval_runtime": 0.4973,
+      "eval_samples_per_second": 72.393,
+      "eval_steps_per_second": 4.022,
+      "step": 38
+    },
+    {
+      "epoch": 22.857142857142858,
+      "grad_norm": 9.40731430053711,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 0.7319,
+      "step": 40
+    },
+    {
+      "epoch": 22.857142857142858,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 1.0558935403823853,
+      "eval_runtime": 0.4948,
+      "eval_samples_per_second": 72.754,
+      "eval_steps_per_second": 4.042,
+      "step": 40
+    },
+    {
+      "epoch": 24.0,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.0745033025741577,
+      "eval_runtime": 0.5016,
+      "eval_samples_per_second": 71.773,
+      "eval_steps_per_second": 3.987,
+      "step": 42
+    },
+    {
+      "epoch": 24.571428571428573,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 1.0611257553100586,
+      "eval_runtime": 0.4907,
+      "eval_samples_per_second": 73.364,
+      "eval_steps_per_second": 4.076,
+      "step": 43
+    },
+    {
+      "epoch": 25.714285714285715,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 0.9831328988075256,
+      "eval_runtime": 0.4964,
+      "eval_samples_per_second": 72.516,
+      "eval_steps_per_second": 4.029,
+      "step": 45
+    },
+    {
+      "epoch": 26.857142857142858,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 1.035706877708435,
+      "eval_runtime": 0.5065,
+      "eval_samples_per_second": 71.082,
+      "eval_steps_per_second": 3.949,
+      "step": 47
+    },
+    {
+      "epoch": 28.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.1500649452209473,
+      "eval_runtime": 0.4901,
+      "eval_samples_per_second": 73.448,
+      "eval_steps_per_second": 4.08,
+      "step": 49
+    },
+    {
+      "epoch": 28.571428571428573,
+      "grad_norm": 8.14036750793457,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 0.6173,
+      "step": 50
+    },
+    {
+      "epoch": 28.571428571428573,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 1.1570887565612793,
+      "eval_runtime": 0.5018,
+      "eval_samples_per_second": 71.741,
+      "eval_steps_per_second": 3.986,
+      "step": 50
+    },
+    {
+      "epoch": 29.714285714285715,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9706482291221619,
+      "eval_runtime": 0.4949,
+      "eval_samples_per_second": 72.741,
+      "eval_steps_per_second": 4.041,
+      "step": 52
+    },
+    {
+      "epoch": 30.857142857142858,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 1.0835765600204468,
+      "eval_runtime": 0.4925,
+      "eval_samples_per_second": 73.098,
+      "eval_steps_per_second": 4.061,
+      "step": 54
+    },
+    {
+      "epoch": 32.0,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9925559163093567,
+      "eval_runtime": 0.4903,
+      "eval_samples_per_second": 73.419,
+      "eval_steps_per_second": 4.079,
+      "step": 56
+    },
+    {
+      "epoch": 32.57142857142857,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9647738337516785,
+      "eval_runtime": 0.4909,
+      "eval_samples_per_second": 73.329,
+      "eval_steps_per_second": 4.074,
+      "step": 57
+    },
+    {
+      "epoch": 33.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 1.0512733459472656,
+      "eval_runtime": 0.4952,
+      "eval_samples_per_second": 72.699,
+      "eval_steps_per_second": 4.039,
+      "step": 59
+    },
+    {
+      "epoch": 34.285714285714285,
+      "grad_norm": 15.036521911621094,
+      "learning_rate": 2.2222222222222223e-05,
+      "loss": 0.5518,
+      "step": 60
+    },
+    {
+      "epoch": 34.857142857142854,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9229605197906494,
+      "eval_runtime": 0.5131,
+      "eval_samples_per_second": 70.168,
+      "eval_steps_per_second": 3.898,
+      "step": 61
+    },
+    {
+      "epoch": 36.0,
+      "eval_accuracy": 0.4444444444444444,
+      "eval_loss": 0.949390709400177,
+      "eval_runtime": 0.4893,
+      "eval_samples_per_second": 73.574,
+      "eval_steps_per_second": 4.087,
+      "step": 63
+    },
+    {
+      "epoch": 36.57142857142857,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9940825700759888,
+      "eval_runtime": 0.4868,
+      "eval_samples_per_second": 73.955,
+      "eval_steps_per_second": 4.109,
+      "step": 64
+    },
+    {
+      "epoch": 37.714285714285715,
+      "eval_accuracy": 0.5,
+      "eval_loss": 0.9322630763053894,
+      "eval_runtime": 0.4863,
+      "eval_samples_per_second": 74.033,
+      "eval_steps_per_second": 4.113,
+      "step": 66
+    },
+    {
+      "epoch": 38.857142857142854,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.8775839805603027,
+      "eval_runtime": 0.4907,
+      "eval_samples_per_second": 73.367,
+      "eval_steps_per_second": 4.076,
+      "step": 68
+    },
+    {
+      "epoch": 40.0,
+      "grad_norm": 5.310029983520508,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.512,
+      "step": 70
+    },
+    {
+      "epoch": 40.0,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9269329905509949,
+      "eval_runtime": 0.496,
+      "eval_samples_per_second": 72.574,
+      "eval_steps_per_second": 4.032,
+      "step": 70
+    },
+    {
+      "epoch": 40.57142857142857,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.9188339710235596,
+      "eval_runtime": 0.5037,
+      "eval_samples_per_second": 71.469,
+      "eval_steps_per_second": 3.971,
+      "step": 71
+    },
+    {
+      "epoch": 41.714285714285715,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9325751066207886,
+      "eval_runtime": 0.4925,
+      "eval_samples_per_second": 73.103,
+      "eval_steps_per_second": 4.061,
+      "step": 73
+    },
+    {
+      "epoch": 42.857142857142854,
+      "eval_accuracy": 0.5,
+      "eval_loss": 0.9403908848762512,
+      "eval_runtime": 0.4988,
+      "eval_samples_per_second": 72.177,
+      "eval_steps_per_second": 4.01,
+      "step": 75
+    },
+    {
+      "epoch": 44.0,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.904733419418335,
+      "eval_runtime": 0.4959,
+      "eval_samples_per_second": 72.6,
+      "eval_steps_per_second": 4.033,
+      "step": 77
+    },
+    {
+      "epoch": 44.57142857142857,
+      "eval_accuracy": 0.5277777777777778,
+      "eval_loss": 0.894720196723938,
+      "eval_runtime": 0.4916,
+      "eval_samples_per_second": 73.232,
+      "eval_steps_per_second": 4.068,
+      "step": 78
+    },
+    {
+      "epoch": 45.714285714285715,
+      "grad_norm": 5.139469146728516,
+      "learning_rate": 1.1111111111111112e-05,
+      "loss": 0.4374,
+      "step": 80
+    },
+    {
+      "epoch": 45.714285714285715,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.896452784538269,
+      "eval_runtime": 0.4882,
+      "eval_samples_per_second": 73.743,
+      "eval_steps_per_second": 4.097,
+      "step": 80
+    },
+    {
+      "epoch": 46.857142857142854,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.9076719284057617,
+      "eval_runtime": 0.4989,
+      "eval_samples_per_second": 72.154,
+      "eval_steps_per_second": 4.009,
+      "step": 82
+    },
+    {
+      "epoch": 48.0,
+      "eval_accuracy": 0.5,
+      "eval_loss": 0.9289677739143372,
+      "eval_runtime": 0.4975,
+      "eval_samples_per_second": 72.366,
+      "eval_steps_per_second": 4.02,
+      "step": 84
+    },
+    {
+      "epoch": 48.57142857142857,
+      "eval_accuracy": 0.5,
+      "eval_loss": 0.9194160103797913,
+      "eval_runtime": 0.4986,
+      "eval_samples_per_second": 72.207,
+      "eval_steps_per_second": 4.011,
+      "step": 85
+    },
+    {
+      "epoch": 49.714285714285715,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.8922841548919678,
+      "eval_runtime": 0.4863,
+      "eval_samples_per_second": 74.03,
+      "eval_steps_per_second": 4.113,
+      "step": 87
+    },
+    {
+      "epoch": 50.857142857142854,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.8754000067710876,
+      "eval_runtime": 0.4986,
+      "eval_samples_per_second": 72.206,
+      "eval_steps_per_second": 4.011,
+      "step": 89
+    },
+    {
+      "epoch": 51.42857142857143,
+      "grad_norm": 4.2079758644104,
+      "learning_rate": 5.555555555555556e-06,
+      "loss": 0.3571,
+      "step": 90
+    },
+    {
+      "epoch": 52.0,
+      "eval_accuracy": 0.5833333333333334,
+      "eval_loss": 0.8766882419586182,
+      "eval_runtime": 0.4939,
+      "eval_samples_per_second": 72.89,
+      "eval_steps_per_second": 4.049,
+      "step": 91
+    },
+    {
+      "epoch": 52.57142857142857,
+      "eval_accuracy": 0.5555555555555556,
+      "eval_loss": 0.8808281421661377,
+      "eval_runtime": 0.4979,
+      "eval_samples_per_second": 72.301,
+      "eval_steps_per_second": 4.017,
+      "step": 92
+    },
+    {
+      "epoch": 53.714285714285715,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.8938834071159363,
+      "eval_runtime": 0.4947,
+      "eval_samples_per_second": 72.776,
+      "eval_steps_per_second": 4.043,
+      "step": 94
+    },
+    {
+      "epoch": 54.857142857142854,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9078287482261658,
+      "eval_runtime": 0.5093,
+      "eval_samples_per_second": 70.681,
+      "eval_steps_per_second": 3.927,
+      "step": 96
+    },
+    {
+      "epoch": 56.0,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.916972815990448,
+      "eval_runtime": 0.5017,
+      "eval_samples_per_second": 71.752,
+      "eval_steps_per_second": 3.986,
+      "step": 98
+    },
+    {
+      "epoch": 56.57142857142857,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9171713590621948,
+      "eval_runtime": 0.4982,
+      "eval_samples_per_second": 72.258,
+      "eval_steps_per_second": 4.014,
+      "step": 99
+    },
+    {
+      "epoch": 57.142857142857146,
+      "grad_norm": 3.1942052841186523,
+      "learning_rate": 0.0,
+      "loss": 0.3333,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.4722222222222222,
+      "eval_loss": 0.9167850017547607,
+      "eval_runtime": 0.4887,
+      "eval_samples_per_second": 73.67,
+      "eval_steps_per_second": 4.093,
+      "step": 100
+    },
+    {
+      "epoch": 57.142857142857146,
+      "step": 100,
+      "total_flos": 8.903293865079828e+17,
+      "train_loss": 0.6641335129737854,
+      "train_runtime": 555.1092,
+      "train_samples_per_second": 36.209,
+      "train_steps_per_second": 0.18
+    },
+    {
+      "epoch": 57.142857142857146,
+      "eval_accuracy": 0.6111111111111112,
+      "eval_loss": 0.8775839805603027,
+      "eval_runtime": 0.5296,
+      "eval_samples_per_second": 67.98,
+      "eval_steps_per_second": 3.777,
+      "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": 8.903293865079828e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}