End of training

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:348ab06f94fbbb9a4199388bb3e4280f3c923b86ec82c2428d19d8ce781444bd
+oid sha256:eb729785e010720003468bbd578129098f1d9623cf3713742d472e8e9688714a
 size 379933779

trainer_state.json

@@ -1,250 +1,325 @@
 {
-  "best_metric": 0.7735137939453125,
-  "best_model_checkpoint": "kurosekurose/wav2vec2-base-EMOPIA/checkpoint-348",
-  "epoch": 14.994285714285715,
-  "global_step": 870,
+  "best_metric": 0.7888200283050537,
+  "best_model_checkpoint": "kurosekurose/wav2vec2-base-EMOPIA/checkpoint-812",
+  "epoch": 19.994285714285713,
+  "global_step": 1160,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
       "epoch": 0.99,
-      "learning_rate": 1.9333333333333336e-06,
-      "loss": 1.3867,
+      "learning_rate": 1.1600000000000001e-06,
+      "loss": 1.393,
       "step": 58
     },
     {
       "epoch": 0.99,
-      "eval_accuracy": 0.3285714387893677,
-      "eval_loss": 1.3517659902572632,
-      "eval_runtime": 46.5999,
-      "eval_samples_per_second": 1.502,
-      "eval_steps_per_second": 0.386,
+      "eval_accuracy": 0.5285714268684387,
+      "eval_loss": 1.3617215156555176,
+      "eval_runtime": 48.0313,
+      "eval_samples_per_second": 1.457,
+      "eval_steps_per_second": 0.375,
       "step": 58
     },
     {
       "epoch": 1.99,
-      "learning_rate": 3.866666666666667e-06,
-      "loss": 1.2842,
+      "learning_rate": 2.3200000000000002e-06,
+      "loss": 1.3257,
       "step": 116
     },
     {
       "epoch": 1.99,
-      "eval_accuracy": 0.4571428596973419,
-      "eval_loss": 1.18719482421875,
-      "eval_runtime": 46.74,
-      "eval_samples_per_second": 1.498,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.4000000059604645,
+      "eval_loss": 1.2633056640625,
+      "eval_runtime": 48.3007,
+      "eval_samples_per_second": 1.449,
+      "eval_steps_per_second": 0.373,
       "step": 116
     },
     {
       "epoch": 2.99,
-      "learning_rate": 5.8e-06,
-      "loss": 1.0725,
+      "learning_rate": 3.48e-06,
+      "loss": 1.175,
       "step": 174
     },
     {
       "epoch": 2.99,
-      "eval_accuracy": 0.5571428537368774,
-      "eval_loss": 1.0476346015930176,
-      "eval_runtime": 46.9576,
-      "eval_samples_per_second": 1.491,
-      "eval_steps_per_second": 0.383,
+      "eval_accuracy": 0.4000000059604645,
+      "eval_loss": 1.11065673828125,
+      "eval_runtime": 48.0736,
+      "eval_samples_per_second": 1.456,
+      "eval_steps_per_second": 0.374,
       "step": 174
     },
     {
       "epoch": 3.99,
-      "learning_rate": 7.733333333333334e-06,
-      "loss": 0.9343,
+      "learning_rate": 4.6400000000000005e-06,
+      "loss": 1.0229,
       "step": 232
     },
     {
       "epoch": 3.99,
-      "eval_accuracy": 0.5714285969734192,
-      "eval_loss": 0.9676682949066162,
-      "eval_runtime": 46.68,
-      "eval_samples_per_second": 1.5,
-      "eval_steps_per_second": 0.386,
+      "eval_accuracy": 0.4285714328289032,
+      "eval_loss": 1.0352715253829956,
+      "eval_runtime": 48.1873,
+      "eval_samples_per_second": 1.453,
+      "eval_steps_per_second": 0.374,
       "step": 232
     },
     {
       "epoch": 4.99,
-      "learning_rate": 9.666666666666667e-06,
-      "loss": 0.8053,
+      "learning_rate": 5.8e-06,
+      "loss": 0.9276,
       "step": 290
     },
     {
       "epoch": 4.99,
-      "eval_accuracy": 0.6142857074737549,
-      "eval_loss": 0.9524909257888794,
-      "eval_runtime": 46.7102,
-      "eval_samples_per_second": 1.499,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.37142857909202576,
+      "eval_loss": 1.0740830898284912,
+      "eval_runtime": 48.3346,
+      "eval_samples_per_second": 1.448,
+      "eval_steps_per_second": 0.372,
       "step": 290
     },
     {
       "epoch": 5.99,
-      "learning_rate": 9.157894736842105e-06,
-      "loss": 0.7895,
+      "learning_rate": 6.96e-06,
+      "loss": 0.8505,
       "step": 348
     },
     {
       "epoch": 5.99,
-      "eval_accuracy": 0.6857143044471741,
-      "eval_loss": 0.7735137939453125,
-      "eval_runtime": 46.9896,
-      "eval_samples_per_second": 1.49,
-      "eval_steps_per_second": 0.383,
+      "eval_accuracy": 0.6285714507102966,
+      "eval_loss": 0.9529690146446228,
+      "eval_runtime": 48.6491,
+      "eval_samples_per_second": 1.439,
+      "eval_steps_per_second": 0.37,
       "step": 348
     },
     {
       "epoch": 6.99,
-      "learning_rate": 8.140350877192983e-06,
-      "loss": 0.6867,
+      "learning_rate": 8.120000000000002e-06,
+      "loss": 0.7713,
       "step": 406
     },
     {
       "epoch": 6.99,
-      "eval_accuracy": 0.6428571343421936,
-      "eval_loss": 0.8555552363395691,
-      "eval_runtime": 46.718,
-      "eval_samples_per_second": 1.498,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.6142857074737549,
+      "eval_loss": 0.9922705888748169,
+      "eval_runtime": 48.6353,
+      "eval_samples_per_second": 1.439,
+      "eval_steps_per_second": 0.37,
       "step": 406
     },
     {
       "epoch": 7.99,
-      "learning_rate": 7.140350877192983e-06,
-      "loss": 0.6218,
+      "learning_rate": 9.280000000000001e-06,
+      "loss": 0.7208,
       "step": 464
     },
     {
       "epoch": 7.99,
-      "eval_accuracy": 0.6714285612106323,
-      "eval_loss": 0.8454030156135559,
-      "eval_runtime": 46.4466,
-      "eval_samples_per_second": 1.507,
-      "eval_steps_per_second": 0.388,
+      "eval_accuracy": 0.6142857074737549,
+      "eval_loss": 0.8938446044921875,
+      "eval_runtime": 48.2669,
+      "eval_samples_per_second": 1.45,
+      "eval_steps_per_second": 0.373,
       "step": 464
     },
     {
       "epoch": 8.99,
-      "learning_rate": 6.140350877192983e-06,
-      "loss": 0.558,
+      "learning_rate": 9.666666666666667e-06,
+      "loss": 0.6573,
       "step": 522
     },
     {
       "epoch": 8.99,
-      "eval_accuracy": 0.6571428775787354,
-      "eval_loss": 0.8404667973518372,
-      "eval_runtime": 46.7611,
-      "eval_samples_per_second": 1.497,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.6142857074737549,
+      "eval_loss": 1.0785200595855713,
+      "eval_runtime": 47.8068,
+      "eval_samples_per_second": 1.464,
+      "eval_steps_per_second": 0.377,
       "step": 522
     },
     {
       "epoch": 9.99,
-      "learning_rate": 5.12280701754386e-06,
-      "loss": 0.5033,
+      "learning_rate": 8.787878787878788e-06,
+      "loss": 0.6134,
       "step": 580
     },
     {
       "epoch": 9.99,
-      "eval_accuracy": 0.6285714507102966,
-      "eval_loss": 1.0190438032150269,
-      "eval_runtime": 47.1353,
-      "eval_samples_per_second": 1.485,
-      "eval_steps_per_second": 0.382,
+      "eval_accuracy": 0.6428571343421936,
+      "eval_loss": 0.9662051796913147,
+      "eval_runtime": 48.1596,
+      "eval_samples_per_second": 1.454,
+      "eval_steps_per_second": 0.374,
       "step": 580
     },
     {
       "epoch": 10.99,
-      "learning_rate": 4.105263157894737e-06,
-      "loss": 0.4403,
+      "learning_rate": 7.909090909090909e-06,
+      "loss": 0.5514,
       "step": 638
     },
     {
       "epoch": 10.99,
-      "eval_accuracy": 0.699999988079071,
-      "eval_loss": 0.82489013671875,
-      "eval_runtime": 46.7633,
-      "eval_samples_per_second": 1.497,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.6571428775787354,
+      "eval_loss": 0.9189529418945312,
+      "eval_runtime": 48.0311,
+      "eval_samples_per_second": 1.457,
+      "eval_steps_per_second": 0.375,
       "step": 638
     },
     {
       "epoch": 11.99,
-      "learning_rate": 3.0877192982456146e-06,
-      "loss": 0.3995,
+      "learning_rate": 7.030303030303031e-06,
+      "loss": 0.4643,
       "step": 696
     },
     {
       "epoch": 11.99,
-      "eval_accuracy": 0.7142857313156128,
-      "eval_loss": 0.8996997475624084,
-      "eval_runtime": 46.7333,
-      "eval_samples_per_second": 1.498,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.6857143044471741,
+      "eval_loss": 0.8748092651367188,
+      "eval_runtime": 48.3032,
+      "eval_samples_per_second": 1.449,
+      "eval_steps_per_second": 0.373,
       "step": 696
     },
     {
       "epoch": 12.99,
-      "learning_rate": 2.0701754385964913e-06,
-      "loss": 0.3534,
+      "learning_rate": 6.166666666666667e-06,
+      "loss": 0.3946,
       "step": 754
     },
     {
       "epoch": 12.99,
-      "eval_accuracy": 0.699999988079071,
-      "eval_loss": 0.9177280068397522,
-      "eval_runtime": 46.7502,
-      "eval_samples_per_second": 1.497,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.6571428775787354,
+      "eval_loss": 0.9243893027305603,
+      "eval_runtime": 48.1936,
+      "eval_samples_per_second": 1.452,
+      "eval_steps_per_second": 0.373,
       "step": 754
     },
     {
       "epoch": 13.99,
-      "learning_rate": 1.0526315789473685e-06,
-      "loss": 0.3023,
+      "learning_rate": 5.287878787878788e-06,
+      "loss": 0.3875,
       "step": 812
     },
     {
       "epoch": 13.99,
-      "eval_accuracy": 0.6571428775787354,
-      "eval_loss": 0.9544177651405334,
-      "eval_runtime": 46.7592,
-      "eval_samples_per_second": 1.497,
-      "eval_steps_per_second": 0.385,
+      "eval_accuracy": 0.7285714149475098,
+      "eval_loss": 0.7888200283050537,
+      "eval_runtime": 47.9295,
+      "eval_samples_per_second": 1.46,
+      "eval_steps_per_second": 0.376,
       "step": 812
     },
     {
       "epoch": 14.99,
-      "learning_rate": 3.508771929824562e-08,
-      "loss": 0.2752,
+      "learning_rate": 4.409090909090909e-06,
+      "loss": 0.3044,
       "step": 870
     },
     {
       "epoch": 14.99,
-      "eval_accuracy": 0.699999988079071,
-      "eval_loss": 0.9346058964729309,
-      "eval_runtime": 46.4397,
-      "eval_samples_per_second": 1.507,
-      "eval_steps_per_second": 0.388,
+      "eval_accuracy": 0.6714285612106323,
+      "eval_loss": 0.8981361389160156,
+      "eval_runtime": 47.9952,
+      "eval_samples_per_second": 1.458,
+      "eval_steps_per_second": 0.375,
       "step": 870
     },
     {
-      "epoch": 14.99,
-      "step": 870,
-      "total_flos": 4.99147314409986e+18,
-      "train_loss": 0.6941862314596944,
-      "train_runtime": 20182.4464,
-      "train_samples_per_second": 0.52,
+      "epoch": 15.99,
+      "learning_rate": 3.5303030303030304e-06,
+      "loss": 0.2794,
+      "step": 928
+    },
+    {
+      "epoch": 15.99,
+      "eval_accuracy": 0.6714285612106323,
+      "eval_loss": 0.8927078247070312,
+      "eval_runtime": 47.849,
+      "eval_samples_per_second": 1.463,
+      "eval_steps_per_second": 0.376,
+      "step": 928
+    },
+    {
+      "epoch": 16.99,
+      "learning_rate": 2.6515151515151514e-06,
+      "loss": 0.2307,
+      "step": 986
+    },
+    {
+      "epoch": 16.99,
+      "eval_accuracy": 0.6714285612106323,
+      "eval_loss": 0.9921481013298035,
+      "eval_runtime": 48.0049,
+      "eval_samples_per_second": 1.458,
+      "eval_steps_per_second": 0.375,
+      "step": 986
+    },
+    {
+      "epoch": 17.99,
+      "learning_rate": 1.7727272727272729e-06,
+      "loss": 0.2153,
+      "step": 1044
+    },
+    {
+      "epoch": 17.99,
+      "eval_accuracy": 0.6714285612106323,
+      "eval_loss": 0.979206919670105,
+      "eval_runtime": 47.8808,
+      "eval_samples_per_second": 1.462,
+      "eval_steps_per_second": 0.376,
+      "step": 1044
+    },
+    {
+      "epoch": 18.99,
+      "learning_rate": 8.93939393939394e-07,
+      "loss": 0.1805,
+      "step": 1102
+    },
+    {
+      "epoch": 18.99,
+      "eval_accuracy": 0.6714285612106323,
+      "eval_loss": 1.1085455417633057,
+      "eval_runtime": 48.1686,
+      "eval_samples_per_second": 1.453,
+      "eval_steps_per_second": 0.374,
+      "step": 1102
+    },
+    {
+      "epoch": 19.99,
+      "learning_rate": 3.0303030303030305e-08,
+      "loss": 0.1625,
+      "step": 1160
+    },
+    {
+      "epoch": 19.99,
+      "eval_accuracy": 0.6571428775787354,
+      "eval_loss": 1.0330772399902344,
+      "eval_runtime": 48.6,
+      "eval_samples_per_second": 1.44,
+      "eval_steps_per_second": 0.37,
+      "step": 1160
+    },
+    {
+      "epoch": 19.99,
+      "step": 1160,
+      "total_flos": 6.655036715585741e+18,
+      "train_loss": 0.6313976797564277,
+      "train_runtime": 27101.5799,
+      "train_samples_per_second": 0.517,
       "train_steps_per_second": 0.043
     }
   ],
-  "max_steps": 870,
-  "num_train_epochs": 15,
-  "total_flos": 4.99147314409986e+18,
+  "max_steps": 1160,
+  "num_train_epochs": 20,
+  "total_flos": 6.655036715585741e+18,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:129989de89a833eb0c8d9e960516ce76d7fddab79482e76bde4c7c1f16fb577e
+oid sha256:7928bd3831d9778b904dbb74e2262a29e5f3356eebda42137796d84d8e0c2218
 size 3055