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 RTE
       type: glue
       config: rte
       split: validation
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5342960288808665
+      value: 0.5451263537906137
 ---
 
 <!-- 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_sa_GLUE_Experiment_logit_kd_pretrain_rte
 
-This model is a fine-tuned version of [gokuls/mobilebert_sa_pre-training-complete](https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete) on the glue dataset.
+This model is a fine-tuned version of [gokuls/mobilebert_sa_pre-training-complete](https://huggingface.co/gokuls/mobilebert_sa_pre-training-complete) on the GLUE RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4231
-- Accuracy: 0.5343
+- Loss: 0.3884
+- Accuracy: 0.5451
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 8.0,
+    "eval_accuracy": 0.5451263537906137,
+    "eval_loss": 0.388401061296463,
+    "eval_runtime": 0.5556,
+    "eval_samples": 277,
+    "eval_samples_per_second": 498.58,
+    "eval_steps_per_second": 5.4,
+    "train_loss": 0.29872527420520784,
+    "train_runtime": 143.5614,
+    "train_samples": 2490,
+    "train_samples_per_second": 867.225,
+    "train_steps_per_second": 6.966
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 8.0,
+    "eval_accuracy": 0.5451263537906137,
+    "eval_loss": 0.388401061296463,
+    "eval_runtime": 0.5556,
+    "eval_samples": 277,
+    "eval_samples_per_second": 498.58,
+    "eval_steps_per_second": 5.4
+}

logs/events.out.tfevents.1675088279.serv-3334.1119753.14

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0da2f7e1363d1c5df9f2bd24273913ae754226db24634b62fe72f9df354f7584
+size 363

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 8.0,
+    "train_loss": 0.29872527420520784,
+    "train_runtime": 143.5614,
+    "train_samples": 2490,
+    "train_samples_per_second": 867.225,
+    "train_steps_per_second": 6.966
+}

trainer_state.json

@@ -0,0 +1,145 @@
+{
+  "best_metric": 0.388401061296463,
+  "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_pretrain_rte/checkpoint-60",
+  "epoch": 8.0,
+  "global_step": 160,
+  "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": 0.4107,
+      "step": 20
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.5126353790613718,
+      "eval_loss": 0.3951400816440582,
+      "eval_runtime": 0.5432,
+      "eval_samples_per_second": 509.897,
+      "eval_steps_per_second": 5.522,
+      "step": 20
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 4.8e-05,
+      "loss": 0.3757,
+      "step": 40
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.4981949458483754,
+      "eval_loss": 0.3914218842983246,
+      "eval_runtime": 0.5449,
+      "eval_samples_per_second": 508.396,
+      "eval_steps_per_second": 5.506,
+      "step": 40
+    },
+    {
+      "epoch": 3.0,
+      "learning_rate": 4.7e-05,
+      "loss": 0.347,
+      "step": 60
+    },
+    {
+      "epoch": 3.0,
+      "eval_accuracy": 0.5451263537906137,
+      "eval_loss": 0.388401061296463,
+      "eval_runtime": 0.5432,
+      "eval_samples_per_second": 509.919,
+      "eval_steps_per_second": 5.523,
+      "step": 60
+    },
+    {
+      "epoch": 4.0,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.3072,
+      "step": 80
+    },
+    {
+      "epoch": 4.0,
+      "eval_accuracy": 0.5126353790613718,
+      "eval_loss": 0.402240514755249,
+      "eval_runtime": 0.5439,
+      "eval_samples_per_second": 509.256,
+      "eval_steps_per_second": 5.515,
+      "step": 80
+    },
+    {
+      "epoch": 5.0,
+      "learning_rate": 4.5e-05,
+      "loss": 0.2762,
+      "step": 100
+    },
+    {
+      "epoch": 5.0,
+      "eval_accuracy": 0.5270758122743683,
+      "eval_loss": 0.41157519817352295,
+      "eval_runtime": 0.542,
+      "eval_samples_per_second": 511.088,
+      "eval_steps_per_second": 5.535,
+      "step": 100
+    },
+    {
+      "epoch": 6.0,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.2457,
+      "step": 120
+    },
+    {
+      "epoch": 6.0,
+      "eval_accuracy": 0.5270758122743683,
+      "eval_loss": 0.40726301074028015,
+      "eval_runtime": 0.5446,
+      "eval_samples_per_second": 508.611,
+      "eval_steps_per_second": 5.508,
+      "step": 120
+    },
+    {
+      "epoch": 7.0,
+      "learning_rate": 4.3e-05,
+      "loss": 0.2215,
+      "step": 140
+    },
+    {
+      "epoch": 7.0,
+      "eval_accuracy": 0.5487364620938628,
+      "eval_loss": 0.4115126132965088,
+      "eval_runtime": 0.5433,
+      "eval_samples_per_second": 509.804,
+      "eval_steps_per_second": 5.521,
+      "step": 140
+    },
+    {
+      "epoch": 8.0,
+      "learning_rate": 4.2e-05,
+      "loss": 0.2059,
+      "step": 160
+    },
+    {
+      "epoch": 8.0,
+      "eval_accuracy": 0.5342960288808665,
+      "eval_loss": 0.4230565130710602,
+      "eval_runtime": 0.5423,
+      "eval_samples_per_second": 510.767,
+      "eval_steps_per_second": 5.532,
+      "step": 160
+    },
+    {
+      "epoch": 8.0,
+      "step": 160,
+      "total_flos": 632613383438336.0,
+      "train_loss": 0.29872527420520784,
+      "train_runtime": 143.5614,
+      "train_samples_per_second": 867.225,
+      "train_steps_per_second": 6.966
+    }
+  ],
+  "max_steps": 1000,
+  "num_train_epochs": 50,
+  "total_flos": 632613383438336.0,
+  "trial_name": null,
+  "trial_params": null
+}