Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7863
-- Accuracy: 0.1143
+- Loss: 1.8870
+- Accuracy: 0.2
 
 ## Model description
 

all_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.25,
+    "train_loss": 1.755351448059082,
+    "train_runtime": 1490.9129,
+    "train_samples_per_second": 0.215,
+    "train_steps_per_second": 0.013
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.25,
+    "train_loss": 1.755351448059082,
+    "train_runtime": 1490.9129,
+    "train_samples_per_second": 0.215,
+    "train_steps_per_second": 0.013
+}

trainer_state.json

@@ -0,0 +1,76 @@
+{
+  "best_metric": 0.4,
+  "best_model_checkpoint": "finetuned-Accident-MultipleLabels-Others/checkpoint-10",
+  "epoch": 3.25,
+  "eval_steps": 500,
+  "global_step": 20,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_accuracy": 0.2857142857142857,
+      "eval_loss": 1.8386245965957642,
+      "eval_runtime": 190.3814,
+      "eval_samples_per_second": 0.552,
+      "eval_steps_per_second": 0.142,
+      "step": 5
+    },
+    {
+      "epoch": 1.25,
+      "learning_rate": 2.777777777777778e-05,
+      "loss": 1.9251,
+      "step": 10
+    },
+    {
+      "epoch": 1.25,
+      "eval_accuracy": 0.4,
+      "eval_loss": 1.7163732051849365,
+      "eval_runtime": 189.1798,
+      "eval_samples_per_second": 0.555,
+      "eval_steps_per_second": 0.143,
+      "step": 10
+    },
+    {
+      "epoch": 2.25,
+      "eval_accuracy": 0.2571428571428571,
+      "eval_loss": 1.7366632223129272,
+      "eval_runtime": 188.863,
+      "eval_samples_per_second": 0.556,
+      "eval_steps_per_second": 0.143,
+      "step": 15
+    },
+    {
+      "epoch": 3.25,
+      "learning_rate": 0.0,
+      "loss": 1.5856,
+      "step": 20
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+    {
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+      "eval_runtime": 188.0873,
+      "eval_samples_per_second": 0.558,
+      "eval_steps_per_second": 0.144,
+      "step": 20
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+    {
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+      "total_flos": 3.887929546632069e+17,
+      "train_loss": 1.755351448059082,
+      "train_runtime": 1490.9129,
+      "train_samples_per_second": 0.215,
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+  ],
+  "logging_steps": 10,
+  "max_steps": 20,
+  "num_train_epochs": 9223372036854775807,
+  "save_steps": 500,
+  "total_flos": 3.887929546632069e+17,
+  "trial_name": null,
+  "trial_params": null
+}