End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9308151093439364
+      value: 0.9333333333333333
 ---
 
 <!-- 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/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2618
-- Accuracy: 0.9308
+- Loss: 0.2467
+- Accuracy: 0.9333
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "total_flos": 7.000491898906214e+18,
+    "train_loss": 0.49915996170043947,
+    "train_runtime": 8370.5251,
+    "train_samples_per_second": 21.003,
+    "train_steps_per_second": 0.657
+}

runs/May30_03-19-39_cb8dd7a87949/events.out.tfevents.1717047820.cb8dd7a87949.24.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08e23fc81c0d7aa3ebdeb75ff5beea45f2e23e5dc79d693ccdf59a637100baad
+size 411

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.0,
+    "total_flos": 7.000491898906214e+18,
+    "train_loss": 0.49915996170043947,
+    "train_runtime": 8370.5251,
+    "train_samples_per_second": 21.003,
+    "train_steps_per_second": 0.657
+}

trainer_state.json

@@ -0,0 +1,505 @@
+{
+  "best_metric": 0.26184722781181335,
+  "best_model_checkpoint": "./convnext-nano-new-1e-4/checkpoint-5500",
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 5500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.18,
+      "grad_norm": 19.579008102416992,
+      "learning_rate": 9.991845519630678e-05,
+      "loss": 2.3491,
+      "step": 100
+    },
+    {
+      "epoch": 0.36,
+      "grad_norm": 31.21416664123535,
+      "learning_rate": 9.967408676742751e-05,
+      "loss": 1.2966,
+      "step": 200
+    },
+    {
+      "epoch": 0.55,
+      "grad_norm": 15.68994140625,
+      "learning_rate": 9.926769179238466e-05,
+      "loss": 1.0475,
+      "step": 300
+    },
+    {
+      "epoch": 0.73,
+      "grad_norm": 17.57521629333496,
+      "learning_rate": 9.870059584711668e-05,
+      "loss": 0.9611,
+      "step": 400
+    },
+    {
+      "epoch": 0.91,
+      "grad_norm": 19.856332778930664,
+      "learning_rate": 9.797464868072488e-05,
+      "loss": 0.8703,
+      "step": 500
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.8473161033797216,
+      "eval_loss": 0.5358882546424866,
+      "eval_runtime": 60.8074,
+      "eval_samples_per_second": 41.36,
+      "eval_steps_per_second": 1.299,
+      "step": 550
+    },
+    {
+      "epoch": 1.09,
+      "grad_norm": 17.288860321044922,
+      "learning_rate": 9.709221818197624e-05,
+      "loss": 0.8327,
+      "step": 600
+    },
+    {
+      "epoch": 1.27,
+      "grad_norm": 15.169794082641602,
+      "learning_rate": 9.60561826557425e-05,
+      "loss": 0.7284,
+      "step": 700
+    },
+    {
+      "epoch": 1.45,
+      "grad_norm": 14.436149597167969,
+      "learning_rate": 9.486992143456792e-05,
+      "loss": 0.6652,
+      "step": 800
+    },
+    {
+      "epoch": 1.64,
+      "grad_norm": 21.993471145629883,
+      "learning_rate": 9.353730385598887e-05,
+      "loss": 0.7387,
+      "step": 900
+    },
+    {
+      "epoch": 1.82,
+      "grad_norm": 17.582576751708984,
+      "learning_rate": 9.206267664155907e-05,
+      "loss": 0.678,
+      "step": 1000
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 23.1961727142334,
+      "learning_rate": 9.045084971874738e-05,
+      "loss": 0.6685,
+      "step": 1100
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.8854870775347913,
+      "eval_loss": 0.41691645979881287,
+      "eval_runtime": 60.6738,
+      "eval_samples_per_second": 41.451,
+      "eval_steps_per_second": 1.302,
+      "step": 1100
+    },
+    {
+      "epoch": 2.18,
+      "grad_norm": 13.541474342346191,
+      "learning_rate": 8.870708053195413e-05,
+      "loss": 0.5784,
+      "step": 1200
+    },
+    {
+      "epoch": 2.36,
+      "grad_norm": 14.434982299804688,
+      "learning_rate": 8.683705689382024e-05,
+      "loss": 0.6053,
+      "step": 1300
+    },
+    {
+      "epoch": 2.55,
+      "grad_norm": 9.445209503173828,
+      "learning_rate": 8.484687843276469e-05,
+      "loss": 0.5885,
+      "step": 1400
+    },
+    {
+      "epoch": 2.73,
+      "grad_norm": 18.613405227661133,
+      "learning_rate": 8.274303669726426e-05,
+      "loss": 0.5734,
+      "step": 1500
+    },
+    {
+      "epoch": 2.91,
+      "grad_norm": 16.23317527770996,
+      "learning_rate": 8.053239398177191e-05,
+      "loss": 0.5564,
+      "step": 1600
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.9041749502982107,
+      "eval_loss": 0.3498544692993164,
+      "eval_runtime": 61.3833,
+      "eval_samples_per_second": 40.972,
+      "eval_steps_per_second": 1.287,
+      "step": 1650
+    },
+    {
+      "epoch": 3.09,
+      "grad_norm": 17.68219566345215,
+      "learning_rate": 7.822216094333847e-05,
+      "loss": 0.5309,
+      "step": 1700
+    },
+    {
+      "epoch": 3.27,
+      "grad_norm": 13.154298782348633,
+      "learning_rate": 7.58198730819481e-05,
+      "loss": 0.5068,
+      "step": 1800
+    },
+    {
+      "epoch": 3.45,
+      "grad_norm": 12.262152671813965,
+      "learning_rate": 7.333336616128369e-05,
+      "loss": 0.4878,
+      "step": 1900
+    },
+    {
+      "epoch": 3.64,
+      "grad_norm": 13.857909202575684,
+      "learning_rate": 7.077075065009433e-05,
+      "loss": 0.4992,
+      "step": 2000
+    },
+    {
+      "epoch": 3.82,
+      "grad_norm": 11.467909812927246,
+      "learning_rate": 6.814038526753205e-05,
+      "loss": 0.4905,
+      "step": 2100
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 28.545787811279297,
+      "learning_rate": 6.545084971874738e-05,
+      "loss": 0.4515,
+      "step": 2200
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.9141153081510934,
+      "eval_loss": 0.31653931736946106,
+      "eval_runtime": 60.4281,
+      "eval_samples_per_second": 41.62,
+      "eval_steps_per_second": 1.307,
+      "step": 2200
+    },
+    {
+      "epoch": 4.18,
+      "grad_norm": 15.704607963562012,
+      "learning_rate": 6.271091670967436e-05,
+      "loss": 0.4485,
+      "step": 2300
+    },
+    {
+      "epoch": 4.36,
+      "grad_norm": 15.504982948303223,
+      "learning_rate": 5.992952333228728e-05,
+      "loss": 0.4265,
+      "step": 2400
+    },
+    {
+      "epoch": 4.55,
+      "grad_norm": 10.627553939819336,
+      "learning_rate": 5.7115741913664264e-05,
+      "loss": 0.4132,
+      "step": 2500
+    },
+    {
+      "epoch": 4.73,
+      "grad_norm": 14.083510398864746,
+      "learning_rate": 5.427875042394199e-05,
+      "loss": 0.4428,
+      "step": 2600
+    },
+    {
+      "epoch": 4.91,
+      "grad_norm": 7.471627235412598,
+      "learning_rate": 5.142780253968481e-05,
+      "loss": 0.442,
+      "step": 2700
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.9081510934393638,
+      "eval_loss": 0.3228101134300232,
+      "eval_runtime": 60.6673,
+      "eval_samples_per_second": 41.456,
+      "eval_steps_per_second": 1.302,
+      "step": 2750
+    },
+    {
+      "epoch": 5.09,
+      "grad_norm": 14.514873504638672,
+      "learning_rate": 4.85721974603152e-05,
+      "loss": 0.383,
+      "step": 2800
+    },
+    {
+      "epoch": 5.27,
+      "grad_norm": 10.791834831237793,
+      "learning_rate": 4.5721249576058027e-05,
+      "loss": 0.39,
+      "step": 2900
+    },
+    {
+      "epoch": 5.45,
+      "grad_norm": 11.45054817199707,
+      "learning_rate": 4.288425808633575e-05,
+      "loss": 0.3562,
+      "step": 3000
+    },
+    {
+      "epoch": 5.64,
+      "grad_norm": 12.328774452209473,
+      "learning_rate": 4.007047666771274e-05,
+      "loss": 0.3457,
+      "step": 3100
+    },
+    {
+      "epoch": 5.82,
+      "grad_norm": 14.327699661254883,
+      "learning_rate": 3.728908329032567e-05,
+      "loss": 0.3893,
+      "step": 3200
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 16.291210174560547,
+      "learning_rate": 3.4549150281252636e-05,
+      "loss": 0.3799,
+      "step": 3300
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.9157057654075547,
+      "eval_loss": 0.3088889420032501,
+      "eval_runtime": 61.3966,
+      "eval_samples_per_second": 40.963,
+      "eval_steps_per_second": 1.287,
+      "step": 3300
+    },
+    {
+      "epoch": 6.18,
+      "grad_norm": 2.8535711765289307,
+      "learning_rate": 3.1859614732467954e-05,
+      "loss": 0.3477,
+      "step": 3400
+    },
+    {
+      "epoch": 6.36,
+      "grad_norm": 13.33967399597168,
+      "learning_rate": 2.9229249349905684e-05,
+      "loss": 0.3299,
+      "step": 3500
+    },
+    {
+      "epoch": 6.55,
+      "grad_norm": 14.240943908691406,
+      "learning_rate": 2.6666633838716314e-05,
+      "loss": 0.3453,
+      "step": 3600
+    },
+    {
+      "epoch": 6.73,
+      "grad_norm": 13.373929023742676,
+      "learning_rate": 2.418012691805191e-05,
+      "loss": 0.313,
+      "step": 3700
+    },
+    {
+      "epoch": 6.91,
+      "grad_norm": 8.548375129699707,
+      "learning_rate": 2.1777839056661554e-05,
+      "loss": 0.3311,
+      "step": 3800
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.925248508946322,
+      "eval_loss": 0.2745630145072937,
+      "eval_runtime": 60.3297,
+      "eval_samples_per_second": 41.688,
+      "eval_steps_per_second": 1.309,
+      "step": 3850
+    },
+    {
+      "epoch": 7.09,
+      "grad_norm": 18.050865173339844,
+      "learning_rate": 1.946760601822809e-05,
+      "loss": 0.2854,
+      "step": 3900
+    },
+    {
+      "epoch": 7.27,
+      "grad_norm": 13.02624225616455,
+      "learning_rate": 1.725696330273575e-05,
+      "loss": 0.2972,
+      "step": 4000
+    },
+    {
+      "epoch": 7.45,
+      "grad_norm": 13.168692588806152,
+      "learning_rate": 1.5153121567235335e-05,
+      "loss": 0.3127,
+      "step": 4100
+    },
+    {
+      "epoch": 7.64,
+      "grad_norm": 12.672035217285156,
+      "learning_rate": 1.3162943106179749e-05,
+      "loss": 0.2909,
+      "step": 4200
+    },
+    {
+      "epoch": 7.82,
+      "grad_norm": 14.670820236206055,
+      "learning_rate": 1.1292919468045877e-05,
+      "loss": 0.2881,
+      "step": 4300
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 25.280366897583008,
+      "learning_rate": 9.549150281252633e-06,
+      "loss": 0.2726,
+      "step": 4400
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.9248508946322067,
+      "eval_loss": 0.26891395449638367,
+      "eval_runtime": 60.3039,
+      "eval_samples_per_second": 41.705,
+      "eval_steps_per_second": 1.31,
+      "step": 4400
+    },
+    {
+      "epoch": 8.18,
+      "grad_norm": 16.034042358398438,
+      "learning_rate": 7.937323358440935e-06,
+      "loss": 0.2687,
+      "step": 4500
+    },
+    {
+      "epoch": 8.36,
+      "grad_norm": 11.272032737731934,
+      "learning_rate": 6.462696144011149e-06,
+      "loss": 0.2633,
+      "step": 4600
+    },
+    {
+      "epoch": 8.55,
+      "grad_norm": 12.020566940307617,
+      "learning_rate": 5.13007856543209e-06,
+      "loss": 0.2478,
+      "step": 4700
+    },
+    {
+      "epoch": 8.73,
+      "grad_norm": 15.785858154296875,
+      "learning_rate": 3.9438173442575e-06,
+      "loss": 0.2792,
+      "step": 4800
+    },
+    {
+      "epoch": 8.91,
+      "grad_norm": 8.982597351074219,
+      "learning_rate": 2.9077818180237693e-06,
+      "loss": 0.2711,
+      "step": 4900
+    },
+    {
+      "epoch": 9.0,
+      "eval_accuracy": 0.927634194831014,
+      "eval_loss": 0.2651021480560303,
+      "eval_runtime": 61.2169,
+      "eval_samples_per_second": 41.083,
+      "eval_steps_per_second": 1.29,
+      "step": 4950
+    },
+    {
+      "epoch": 9.09,
+      "grad_norm": 11.63708209991455,
+      "learning_rate": 2.0253513192751373e-06,
+      "loss": 0.246,
+      "step": 5000
+    },
+    {
+      "epoch": 9.27,
+      "grad_norm": 9.835166931152344,
+      "learning_rate": 1.2994041528833266e-06,
+      "loss": 0.2542,
+      "step": 5100
+    },
+    {
+      "epoch": 9.45,
+      "grad_norm": 4.863436222076416,
+      "learning_rate": 7.323082076153509e-07,
+      "loss": 0.264,
+      "step": 5200
+    },
+    {
+      "epoch": 9.64,
+      "grad_norm": 15.75218677520752,
+      "learning_rate": 3.2591323257248893e-07,
+      "loss": 0.2809,
+      "step": 5300
+    },
+    {
+      "epoch": 9.82,
+      "grad_norm": 15.889384269714355,
+      "learning_rate": 8.15448036932176e-08,
+      "loss": 0.2674,
+      "step": 5400
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 48.06371307373047,
+      "learning_rate": 0.0,
+      "loss": 0.2758,
+      "step": 5500
+    },
+    {
+      "epoch": 10.0,
+      "eval_accuracy": 0.9308151093439364,
+      "eval_loss": 0.26184722781181335,
+      "eval_runtime": 60.5892,
+      "eval_samples_per_second": 41.509,
+      "eval_steps_per_second": 1.304,
+      "step": 5500
+    },
+    {
+      "epoch": 10.0,
+      "step": 5500,
+      "total_flos": 7.000491898906214e+18,
+      "train_loss": 0.49915996170043947,
+      "train_runtime": 8370.5251,
+      "train_samples_per_second": 21.003,
+      "train_steps_per_second": 0.657
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 5500,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "total_flos": 7.000491898906214e+18,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}