End of training

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
+- audio-classification
 - generated_from_trainer
 datasets:
 - superb

all_results.json

@@ -2,12 +2,12 @@
     "epoch": 7.996245306633291,
     "eval_accuracy": 0.9773462783171522,
     "eval_loss": 0.11222562193870544,
-    "eval_runtime": 5.4886,
-    "eval_samples_per_second": 1238.577,
-    "eval_steps_per_second": 38.808,
+    "eval_runtime": 5.6077,
+    "eval_samples_per_second": 1212.264,
+    "eval_steps_per_second": 37.984,
     "total_flos": 3.777723239743488e+18,
     "train_loss": 0.6284143277373745,
-    "train_runtime": 641.8193,
-    "train_samples_per_second": 636.865,
-    "train_steps_per_second": 2.48
+    "train_runtime": 634.1755,
+    "train_samples_per_second": 644.541,
+    "train_steps_per_second": 2.51
 }

eval_results.json

@@ -2,7 +2,7 @@
     "epoch": 7.996245306633291,
     "eval_accuracy": 0.9773462783171522,
     "eval_loss": 0.11222562193870544,
-    "eval_runtime": 5.4886,
-    "eval_samples_per_second": 1238.577,
-    "eval_steps_per_second": 38.808
+    "eval_runtime": 5.6077,
+    "eval_samples_per_second": 1212.264,
+    "eval_steps_per_second": 37.984
 }

runs/May15_00-35-10_cs-Precision-7960-Tower/events.out.tfevents.1747284359.cs-Precision-7960-Tower.140443.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:104fcb641a890bd4fc3aa84fa2ceebe5fa3e6c6b13ce6b4e536bc76ff8164a14
+size 411

train_results.json

@@ -2,7 +2,7 @@
     "epoch": 7.996245306633291,
     "total_flos": 3.777723239743488e+18,
     "train_loss": 0.6284143277373745,
-    "train_runtime": 641.8193,
-    "train_samples_per_second": 636.865,
-    "train_steps_per_second": 2.48
+    "train_runtime": 634.1755,
+    "train_samples_per_second": 644.541,
+    "train_steps_per_second": 2.51
 }

trainer_state.json

@@ -145,9 +145,9 @@
       "epoch": 0.9962453066332916,
       "eval_accuracy": 0.6456310679611651,
       "eval_loss": 1.292258620262146,
-      "eval_runtime": 4.7953,
-      "eval_samples_per_second": 1417.633,
-      "eval_steps_per_second": 44.418,
+      "eval_runtime": 5.0432,
+      "eval_samples_per_second": 1347.951,
+      "eval_steps_per_second": 42.235,
       "step": 199
     },
     {
@@ -294,9 +294,9 @@
       "epoch": 1.9962453066332917,
       "eval_accuracy": 0.7917034421888791,
       "eval_loss": 0.6811065673828125,
-      "eval_runtime": 4.7675,
-      "eval_samples_per_second": 1425.901,
-      "eval_steps_per_second": 44.677,
+      "eval_runtime": 4.8549,
+      "eval_samples_per_second": 1400.226,
+      "eval_steps_per_second": 43.873,
       "step": 398
     },
     {
@@ -443,9 +443,9 @@
       "epoch": 2.9962453066332917,
       "eval_accuracy": 0.9267431597528685,
       "eval_loss": 0.2847038805484772,
-      "eval_runtime": 4.9241,
-      "eval_samples_per_second": 1380.567,
-      "eval_steps_per_second": 43.257,
+      "eval_runtime": 4.8683,
+      "eval_samples_per_second": 1396.372,
+      "eval_steps_per_second": 43.752,
       "step": 597
     },
     {
@@ -592,9 +592,9 @@
       "epoch": 3.9962453066332917,
       "eval_accuracy": 0.973080317740512,
       "eval_loss": 0.15457233786582947,
-      "eval_runtime": 4.9561,
-      "eval_samples_per_second": 1371.635,
-      "eval_steps_per_second": 42.977,
+      "eval_runtime": 4.7958,
+      "eval_samples_per_second": 1417.478,
+      "eval_steps_per_second": 44.413,
       "step": 796
     },
     {
@@ -741,9 +741,9 @@
       "epoch": 4.996245306633291,
       "eval_accuracy": 0.9760223595175052,
       "eval_loss": 0.1284540593624115,
-      "eval_runtime": 4.9643,
-      "eval_samples_per_second": 1369.379,
-      "eval_steps_per_second": 42.906,
+      "eval_runtime": 4.9228,
+      "eval_samples_per_second": 1380.926,
+      "eval_steps_per_second": 43.268,
       "step": 995
     },
     {
@@ -890,9 +890,9 @@
       "epoch": 5.996245306633291,
       "eval_accuracy": 0.9748455428067079,
       "eval_loss": 0.12367700785398483,
-      "eval_runtime": 4.8461,
-      "eval_samples_per_second": 1402.788,
-      "eval_steps_per_second": 43.953,
+      "eval_runtime": 5.057,
+      "eval_samples_per_second": 1344.286,
+      "eval_steps_per_second": 42.12,
       "step": 1194
     },
     {
@@ -1039,9 +1039,9 @@
       "epoch": 6.996245306633291,
       "eval_accuracy": 0.9767578699617535,
       "eval_loss": 0.10951310396194458,
-      "eval_runtime": 5.2014,
-      "eval_samples_per_second": 1306.955,
-      "eval_steps_per_second": 40.95,
+      "eval_runtime": 5.0652,
+      "eval_samples_per_second": 1342.105,
+      "eval_steps_per_second": 42.052,
       "step": 1393
     },
     {
@@ -1188,9 +1188,9 @@
       "epoch": 7.996245306633291,
       "eval_accuracy": 0.9773462783171522,
       "eval_loss": 0.11222562193870544,
-      "eval_runtime": 5.6208,
-      "eval_samples_per_second": 1209.438,
-      "eval_steps_per_second": 37.895,
+      "eval_runtime": 5.4676,
+      "eval_samples_per_second": 1243.322,
+      "eval_steps_per_second": 38.957,
       "step": 1592
     },
     {
@@ -1198,9 +1198,9 @@
       "step": 1592,
       "total_flos": 3.777723239743488e+18,
       "train_loss": 0.6284143277373745,
-      "train_runtime": 641.8193,
-      "train_samples_per_second": 636.865,
-      "train_steps_per_second": 2.48
+      "train_runtime": 634.1755,
+      "train_samples_per_second": 644.541,
+      "train_steps_per_second": 2.51
     }
   ],
   "logging_steps": 10,