End of training

README.md

@@ -17,9 +17,9 @@ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingfac
 It achieves the following results on the evaluation set:
 - eval_loss: 2.4447
 - eval_accuracy: 0.0452
-- eval_runtime: 31.3777
-- eval_samples_per_second: 4.94
-- eval_steps_per_second: 2.486
+- eval_runtime: 27.1309
+- eval_samples_per_second: 5.713
+- eval_steps_per_second: 2.875
 - step: 0
 
 ## Model description

all_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 3.23,
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+    "eval_accuracy": 0.04516129032258064,
+    "eval_loss": 2.444662094116211,
+    "eval_runtime": 27.1309,
+    "eval_samples_per_second": 5.713,
+    "eval_steps_per_second": 2.875
 }

test_results.json

@@ -1,8 +1,7 @@
 {
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-    "eval_accuracy": 0.864516129032258,
-    "eval_loss": 0.3992488980293274,
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+    "eval_accuracy": 0.04516129032258064,
+    "eval_loss": 2.444662094116211,
+    "eval_runtime": 27.1309,
+    "eval_samples_per_second": 5.713,
+    "eval_steps_per_second": 2.875
 }

trainer_state.json

@@ -1,163 +1,37 @@
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+  "best_model_checkpoint": null,
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+  "global_step": 0,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
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   "trial_name": null,
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 }