End of training

README.md

@@ -4,6 +4,8 @@ license: mit
 base_model: google/vivit-b-16x2-kinetics400
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: '25'
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # 25
 
 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:
+- Loss: 2.3079
+- Accuracy: 0.25
 
 ## Model description
 

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.25,
+    "eval_loss": 2.3078773021698,
+    "eval_runtime": 11.6929,
+    "eval_samples_per_second": 1.71,
+    "eval_steps_per_second": 0.855
+}

test_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.25,
+    "eval_loss": 2.3078773021698,
+    "eval_runtime": 11.6929,
+    "eval_samples_per_second": 1.71,
+    "eval_steps_per_second": 0.855
+}

trainer_state.json

@@ -0,0 +1,78 @@
+{
+  "best_metric": 0.2,
+  "best_model_checkpoint": "/media/cse/HDD/Shawon/shawon/ViViT_BdSLW60_100_FrameRateCorrected_withAug_11/8/25/checkpoint-3",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.2,
+      "eval_loss": 2.3940231800079346,
+      "eval_runtime": 5.9381,
+      "eval_samples_per_second": 1.684,
+      "eval_steps_per_second": 0.842,
+      "step": 3
+    },
+    {
+      "epoch": 1.0,
+      "step": 3,
+      "total_flos": 6.149340453666816e+16,
+      "train_loss": 10.142842610677084,
+      "train_runtime": 37.8952,
+      "train_samples_per_second": 0.633,
+      "train_steps_per_second": 0.079
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.2,
+      "eval_loss": 2.3940227031707764,
+      "eval_runtime": 5.9139,
+      "eval_samples_per_second": 1.691,
+      "eval_steps_per_second": 0.845,
+      "step": 3
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.25,
+      "eval_loss": 2.3078773021698,
+      "eval_runtime": 11.6929,
+      "eval_samples_per_second": 1.71,
+      "eval_steps_per_second": 0.855,
+      "step": 3
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 3,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 9223372036854775807,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.149340453666816e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}