End of training

README.md

@@ -15,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- epoch: 24.0356
-- eval_accuracy: 0.7407
-- eval_loss: 0.6835
-- eval_runtime: 207.2262
-- eval_samples_per_second: 0.912
-- eval_steps_per_second: 0.232
-- step: 5500
+- eval_loss: 0.7628
+- eval_accuracy: 0.6720
+- eval_runtime: 237.6048
+- eval_samples_per_second: 0.795
+- eval_steps_per_second: 0.202
+- epoch: 1.0002
+- step: 5501
 
 ## Model description
 

all_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 24.035636363636364,
-    "eval_accuracy": 0.7037037037037037,
-    "eval_loss": 0.7848654389381409,
-    "eval_runtime": 207.3982,
-    "eval_samples_per_second": 0.911,
-    "eval_steps_per_second": 0.231
+    "epoch": 1.0001818181818183,
+    "eval_accuracy": 0.671957671957672,
+    "eval_loss": 0.7627605199813843,
+    "eval_runtime": 237.6048,
+    "eval_samples_per_second": 0.795,
+    "eval_steps_per_second": 0.202
 }

test_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 24.035636363636364,
-    "eval_accuracy": 0.7037037037037037,
-    "eval_loss": 0.7848654389381409,
-    "eval_runtime": 207.3982,
-    "eval_samples_per_second": 0.911,
-    "eval_steps_per_second": 0.231
+    "epoch": 1.0001818181818183,
+    "eval_accuracy": 0.671957671957672,
+    "eval_loss": 0.7627605199813843,
+    "eval_runtime": 237.6048,
+    "eval_samples_per_second": 0.795,
+    "eval_steps_per_second": 0.202
 }

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 0.7407407407407407,
   "best_model_checkpoint": "vvt-gs-rot-flip-wtoken-f198-4.4-h768-t8.16.16\\checkpoint-5500",
-  "epoch": 24.035636363636364,
+  "epoch": 1.0001818181818183,
   "eval_steps": 500,
-  "global_step": 5500,
+  "global_step": 5501,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -4084,31 +4084,13 @@
       "step": 5500
     },
     {
-      "epoch": 24.035636363636364,
-      "step": 5500,
-      "total_flos": 4.389253736670403e+19,
-      "train_loss": 0.8916054168180986,
-      "train_runtime": 33997.4971,
-      "train_samples_per_second": 0.647,
-      "train_steps_per_second": 0.162
-    },
-    {
-      "epoch": 24.035636363636364,
-      "eval_accuracy": 0.6984126984126984,
-      "eval_loss": 0.7410925626754761,
-      "eval_runtime": 210.0055,
-      "eval_samples_per_second": 0.9,
-      "eval_steps_per_second": 0.229,
-      "step": 5500
-    },
-    {
-      "epoch": 24.035636363636364,
-      "eval_accuracy": 0.7037037037037037,
-      "eval_loss": 0.7848654389381409,
-      "eval_runtime": 207.3982,
-      "eval_samples_per_second": 0.911,
-      "eval_steps_per_second": 0.231,
-      "step": 5500
+      "epoch": 1.0001818181818183,
+      "eval_accuracy": 0.671957671957672,
+      "eval_loss": 0.7627605199813843,
+      "eval_runtime": 237.6048,
+      "eval_samples_per_second": 0.795,
+      "eval_steps_per_second": 0.202,
+      "step": 5501
     }
   ],
   "logging_steps": 10,