End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -13,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE COLA
       type: glue
       config: cola
       split: validation
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Matthews Correlation
       type: matthews_correlation
-      value: 0.08941665373051183
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilebert_add_GLUE_Experiment_logit_kd_cola_256
 
-This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the glue dataset.
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6813
-- Matthews Correlation: 0.0894
+- Loss: 0.6707
+- Matthews Correlation: 0.0
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 16.0,
+    "eval_loss": 0.6706946492195129,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 2.3619,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 441.598,
+    "eval_steps_per_second": 3.811,
+    "train_loss": 0.7626726947613617,
+    "train_runtime": 1027.7392,
+    "train_samples": 8551,
+    "train_samples_per_second": 416.01,
+    "train_steps_per_second": 3.26
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 16.0,
+    "eval_loss": 0.6706946492195129,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 2.3619,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 441.598,
+    "eval_steps_per_second": 3.811
+}

logs/events.out.tfevents.1674948396.serv-3328.2501856.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c92d5d41a199f9d2da763e819c191d0e92d512684d4adb98ffa1fb735324bf04
+size 375

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 16.0,
+    "train_loss": 0.7626726947613617,
+    "train_runtime": 1027.7392,
+    "train_samples": 8551,
+    "train_samples_per_second": 416.01,
+    "train_steps_per_second": 3.26
+}

trainer_state.json

@@ -0,0 +1,265 @@
+{
+  "best_metric": 0.6706946492195129,
+  "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_cola_256/checkpoint-737",
+  "epoch": 16.0,
+  "global_step": 1072,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.9e-05,
+      "loss": 0.8133,
+      "step": 67
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 0.6864015460014343,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3673,
+      "eval_samples_per_second": 440.581,
+      "eval_steps_per_second": 3.802,
+      "step": 67
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 4.8e-05,
+      "loss": 0.797,
+      "step": 134
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.6865732669830322,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3603,
+      "eval_samples_per_second": 441.891,
+      "eval_steps_per_second": 3.813,
+      "step": 134
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 4.7e-05,
+      "loss": 0.7964,
+      "step": 201
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 0.6832323670387268,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3475,
+      "eval_samples_per_second": 444.297,
+      "eval_steps_per_second": 3.834,
+      "step": 201
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.7948,
+      "step": 268
+    },
+    {
+      "epoch": 4.0,
+      "eval_loss": 0.6826822757720947,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3515,
+      "eval_samples_per_second": 443.542,
+      "eval_steps_per_second": 3.827,
+      "step": 268
+    },
+    {
+      "epoch": 5.0,
+      "learning_rate": 4.5e-05,
+      "loss": 0.7934,
+      "step": 335
+    },
+    {
+      "epoch": 5.0,
+      "eval_loss": 0.6786946058273315,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3636,
+      "eval_samples_per_second": 441.284,
+      "eval_steps_per_second": 3.808,
+      "step": 335
+    },
+    {
+      "epoch": 6.0,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.7759,
+      "step": 402
+    },
+    {
+      "epoch": 6.0,
+      "eval_loss": 0.674231231212616,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.4966,
+      "eval_samples_per_second": 417.768,
+      "eval_steps_per_second": 3.605,
+      "step": 402
+    },
+    {
+      "epoch": 7.0,
+      "learning_rate": 4.3e-05,
+      "loss": 0.761,
+      "step": 469
+    },
+    {
+      "epoch": 7.0,
+      "eval_loss": 0.6777247786521912,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3633,
+      "eval_samples_per_second": 441.324,
+      "eval_steps_per_second": 3.808,
+      "step": 469
+    },
+    {
+      "epoch": 8.0,
+      "learning_rate": 4.2e-05,
+      "loss": 0.756,
+      "step": 536
+    },
+    {
+      "epoch": 8.0,
+      "eval_loss": 0.6754477024078369,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3686,
+      "eval_samples_per_second": 440.338,
+      "eval_steps_per_second": 3.8,
+      "step": 536
+    },
+    {
+      "epoch": 9.0,
+      "learning_rate": 4.1e-05,
+      "loss": 0.7471,
+      "step": 603
+    },
+    {
+      "epoch": 9.0,
+      "eval_loss": 0.6772245764732361,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3582,
+      "eval_samples_per_second": 442.285,
+      "eval_steps_per_second": 3.816,
+      "step": 603
+    },
+    {
+      "epoch": 10.0,
+      "learning_rate": 4e-05,
+      "loss": 0.7457,
+      "step": 670
+    },
+    {
+      "epoch": 10.0,
+      "eval_loss": 0.6760045289993286,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3622,
+      "eval_samples_per_second": 441.534,
+      "eval_steps_per_second": 3.81,
+      "step": 670
+    },
+    {
+      "epoch": 11.0,
+      "learning_rate": 3.9000000000000006e-05,
+      "loss": 0.7419,
+      "step": 737
+    },
+    {
+      "epoch": 11.0,
+      "eval_loss": 0.6706946492195129,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3314,
+      "eval_samples_per_second": 447.378,
+      "eval_steps_per_second": 3.86,
+      "step": 737
+    },
+    {
+      "epoch": 12.0,
+      "learning_rate": 3.8e-05,
+      "loss": 0.741,
+      "step": 804
+    },
+    {
+      "epoch": 12.0,
+      "eval_loss": 0.6729392409324646,
+      "eval_matthews_correlation": 0.0,
+      "eval_runtime": 2.3775,
+      "eval_samples_per_second": 438.704,
+      "eval_steps_per_second": 3.786,
+      "step": 804
+    },
+    {
+      "epoch": 13.0,
+      "learning_rate": 3.7e-05,
+      "loss": 0.7351,
+      "step": 871
+    },
+    {
+      "epoch": 13.0,
+      "eval_loss": 0.6835747957229614,
+      "eval_matthews_correlation": 0.07577320814453954,
+      "eval_runtime": 2.3704,
+      "eval_samples_per_second": 440.011,
+      "eval_steps_per_second": 3.797,
+      "step": 871
+    },
+    {
+      "epoch": 14.0,
+      "learning_rate": 3.6e-05,
+      "loss": 0.7349,
+      "step": 938
+    },
+    {
+      "epoch": 14.0,
+      "eval_loss": 0.6768582463264465,
+      "eval_matthews_correlation": 0.07951431611081063,
+      "eval_runtime": 2.359,
+      "eval_samples_per_second": 442.143,
+      "eval_steps_per_second": 3.815,
+      "step": 938
+    },
+    {
+      "epoch": 15.0,
+      "learning_rate": 3.5e-05,
+      "loss": 0.7357,
+      "step": 1005
+    },
+    {
+      "epoch": 15.0,
+      "eval_loss": 0.6715154051780701,
+      "eval_matthews_correlation": 0.03149441738954873,
+      "eval_runtime": 2.3487,
+      "eval_samples_per_second": 444.084,
+      "eval_steps_per_second": 3.832,
+      "step": 1005
+    },
+    {
+      "epoch": 16.0,
+      "learning_rate": 3.4000000000000007e-05,
+      "loss": 0.7333,
+      "step": 1072
+    },
+    {
+      "epoch": 16.0,
+      "eval_loss": 0.681270956993103,
+      "eval_matthews_correlation": 0.08941665373051183,
+      "eval_runtime": 2.3503,
+      "eval_samples_per_second": 443.777,
+      "eval_steps_per_second": 3.829,
+      "step": 1072
+    },
+    {
+      "epoch": 16.0,
+      "step": 1072,
+      "total_flos": 3526461549969408.0,
+      "train_loss": 0.7626726947613617,
+      "train_runtime": 1027.7392,
+      "train_samples_per_second": 416.01,
+      "train_steps_per_second": 3.26
+    }
+  ],
+  "max_steps": 3350,
+  "num_train_epochs": 50,
+  "total_flos": 3526461549969408.0,
+  "trial_name": null,
+  "trial_params": null
+}