End of training

Browse files

Files changed (4) hide show

README.md +1 -1
all_results.json +8 -0
test_results.json +8 -0
trainer_state.json +237 -0

README.md CHANGED Viewed

@@ -18,7 +18,7 @@ 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: 0.8146
 - Accuracy: 0.7681
 ## Model description

 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: 0.8151
 - Accuracy: 0.7681
 ## Model description

all_results.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+    "epoch": 7.102564102564102,
+    "eval_accuracy": 0.7680890538033395,
+    "eval_loss": 0.8150683641433716,
+    "eval_runtime": 1611.9221,
+    "eval_samples_per_second": 0.334,
+    "eval_steps_per_second": 0.042
+}

test_results.json ADDED Viewed

	@@ -0,0 +1,8 @@

+{
+    "epoch": 7.102564102564102,
+    "eval_accuracy": 0.7680890538033395,
+    "eval_loss": 0.8150683641433716,
+    "eval_runtime": 1611.9221,
+    "eval_samples_per_second": 0.334,
+    "eval_steps_per_second": 0.042
+}

trainer_state.json ADDED Viewed

	@@ -0,0 +1,237 @@

+{
+  "best_metric": 0.5891016200294551,
+  "best_model_checkpoint": "videomae-base-finetuned-lift-data-resize/checkpoint-140",
+  "epoch": 7.102564102564102,
+  "eval_steps": 500,
+  "global_step": 156,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0641025641025641,
+      "grad_norm": 5.635838508605957,
+      "learning_rate": 3.125e-05,
+      "loss": 1.6404,
+      "step": 10
+    },
+    {
+      "epoch": 0.1282051282051282,
+      "grad_norm": 5.812517166137695,
+      "learning_rate": 4.8571428571428576e-05,
+      "loss": 1.5758,
+      "step": 20
+    },
+    {
+      "epoch": 0.1282051282051282,
+      "eval_accuracy": 0.29013254786450665,
+      "eval_loss": 1.6618727445602417,
+      "eval_runtime": 2083.0077,
+      "eval_samples_per_second": 0.326,
+      "eval_steps_per_second": 0.041,
+      "step": 20
+    },
+    {
+      "epoch": 1.064102564102564,
+      "grad_norm": 4.693382740020752,
+      "learning_rate": 4.5e-05,
+      "loss": 1.3588,
+      "step": 30
+    },
+    {
+      "epoch": 1.1282051282051282,
+      "grad_norm": 7.194770336151123,
+      "learning_rate": 4.1428571428571437e-05,
+      "loss": 1.3067,
+      "step": 40
+    },
+    {
+      "epoch": 1.1282051282051282,
+      "eval_accuracy": 0.29896907216494845,
+      "eval_loss": 1.6047614812850952,
+      "eval_runtime": 2110.0361,
+      "eval_samples_per_second": 0.322,
+      "eval_steps_per_second": 0.04,
+      "step": 40
+    },
+    {
+      "epoch": 2.064102564102564,
+      "grad_norm": 9.944411277770996,
+      "learning_rate": 3.785714285714286e-05,
+      "loss": 1.1955,
+      "step": 50
+    },
+    {
+      "epoch": 2.128205128205128,
+      "grad_norm": 8.486799240112305,
+      "learning_rate": 3.428571428571429e-05,
+      "loss": 1.3787,
+      "step": 60
+    },
+    {
+      "epoch": 2.128205128205128,
+      "eval_accuracy": 0.3181148748159057,
+      "eval_loss": 1.4723353385925293,
+      "eval_runtime": 2076.9142,
+      "eval_samples_per_second": 0.327,
+      "eval_steps_per_second": 0.041,
+      "step": 60
+    },
+    {
+      "epoch": 3.064102564102564,
+      "grad_norm": 10.37818717956543,
+      "learning_rate": 3.071428571428572e-05,
+      "loss": 1.2217,
+      "step": 70
+    },
+    {
+      "epoch": 3.128205128205128,
+      "grad_norm": 11.789801597595215,
+      "learning_rate": 2.714285714285714e-05,
+      "loss": 1.1642,
+      "step": 80
+    },
+    {
+      "epoch": 3.128205128205128,
+      "eval_accuracy": 0.3004418262150221,
+      "eval_loss": 1.4191110134124756,
+      "eval_runtime": 2171.4394,
+      "eval_samples_per_second": 0.313,
+      "eval_steps_per_second": 0.039,
+      "step": 80
+    },
+    {
+      "epoch": 4.064102564102564,
+      "grad_norm": 4.555699348449707,
+      "learning_rate": 2.357142857142857e-05,
+      "loss": 1.0205,
+      "step": 90
+    },
+    {
+      "epoch": 4.128205128205128,
+      "grad_norm": 7.893691539764404,
+      "learning_rate": 2e-05,
+      "loss": 1.1172,
+      "step": 100
+    },
+    {
+      "epoch": 4.128205128205128,
+      "eval_accuracy": 0.31958762886597936,
+      "eval_loss": 1.2374299764633179,
+      "eval_runtime": 2014.151,
+      "eval_samples_per_second": 0.337,
+      "eval_steps_per_second": 0.042,
+      "step": 100
+    },
+    {
+      "epoch": 5.064102564102564,
+      "grad_norm": 4.984745979309082,
+      "learning_rate": 1.642857142857143e-05,
+      "loss": 1.0003,
+      "step": 110
+    },
+    {
+      "epoch": 5.128205128205128,
+      "grad_norm": 9.872081756591797,
+      "learning_rate": 1.2857142857142857e-05,
+      "loss": 0.8982,
+      "step": 120
+    },
+    {
+      "epoch": 5.128205128205128,
+      "eval_accuracy": 0.5655375552282769,
+      "eval_loss": 1.0099185705184937,
+      "eval_runtime": 2071.3572,
+      "eval_samples_per_second": 0.328,
+      "eval_steps_per_second": 0.041,
+      "step": 120
+    },
+    {
+      "epoch": 6.064102564102564,
+      "grad_norm": 8.504035949707031,
+      "learning_rate": 9.285714285714286e-06,
+      "loss": 0.8094,
+      "step": 130
+    },
+    {
+      "epoch": 6.128205128205128,
+      "grad_norm": 15.16745376586914,
+      "learning_rate": 5.7142857142857145e-06,
+      "loss": 0.915,
+      "step": 140
+    },
+    {
+      "epoch": 6.128205128205128,
+      "eval_accuracy": 0.5891016200294551,
+      "eval_loss": 0.9540217518806458,
+      "eval_runtime": 2043.7965,
+      "eval_samples_per_second": 0.332,
+      "eval_steps_per_second": 0.042,
+      "step": 140
+    },
+    {
+      "epoch": 7.064102564102564,
+      "grad_norm": 7.420783519744873,
+      "learning_rate": 2.142857142857143e-06,
+      "loss": 0.7809,
+      "step": 150
+    },
+    {
+      "epoch": 7.102564102564102,
+      "eval_accuracy": 0.5714285714285714,
+      "eval_loss": 0.9188718795776367,
+      "eval_runtime": 2011.7001,
+      "eval_samples_per_second": 0.338,
+      "eval_steps_per_second": 0.042,
+      "step": 156
+    },
+    {
+      "epoch": 7.102564102564102,
+      "step": 156,
+      "total_flos": 1.528962156685394e+18,
+      "train_loss": 1.1473380480057154,
+      "train_runtime": 20559.8951,
+      "train_samples_per_second": 0.061,
+      "train_steps_per_second": 0.008
+    },
+    {
+      "epoch": 7.102564102564102,
+      "eval_accuracy": 0.7680890538033395,
+      "eval_loss": 0.8145598769187927,
+      "eval_runtime": 1580.5762,
+      "eval_samples_per_second": 0.341,
+      "eval_steps_per_second": 0.043,
+      "step": 156
+    },
+    {
+      "epoch": 7.102564102564102,
+      "eval_accuracy": 0.7680890538033395,
+      "eval_loss": 0.8150683641433716,
+      "eval_runtime": 1611.9221,
+      "eval_samples_per_second": 0.334,
+      "eval_steps_per_second": 0.042,
+      "step": 156
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 156,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 9223372036854775807,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.528962156685394e+18,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}