End of training

README.md

@@ -1,12 +1,30 @@
 ---
+language:
+- en
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: hBERTv2_data_aug_mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6838235294117647
+    - name: F1
+      type: f1
+      value: 0.8122270742358079
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv2_data_aug_mrpc
 
-This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on an unknown dataset.
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE MRPC dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6242
+- Loss: 0.6240
 - Accuracy: 0.6838
 - F1: 0.8122
 - Combined Score: 0.7480

all_results.json

@@ -4,13 +4,13 @@
     "eval_combined_score": 0.7480253018237863,
     "eval_f1": 0.8122270742358079,
     "eval_loss": 0.6239516139030457,
-    "eval_runtime": 0.4957,
+    "eval_runtime": 0.4873,
     "eval_samples": 408,
-    "eval_samples_per_second": 823.03,
-    "eval_steps_per_second": 4.034,
+    "eval_samples_per_second": 837.231,
+    "eval_steps_per_second": 4.104,
     "train_loss": 0.6304825585368076,
-    "train_runtime": 5936.2197,
+    "train_runtime": 6112.7657,
     "train_samples": 250736,
-    "train_samples_per_second": 2111.916,
-    "train_steps_per_second": 8.254
+    "train_samples_per_second": 2050.921,
+    "train_steps_per_second": 8.016
 }

eval_results.json

@@ -4,8 +4,8 @@
     "eval_combined_score": 0.7480253018237863,
     "eval_f1": 0.8122270742358079,
     "eval_loss": 0.6239516139030457,
-    "eval_runtime": 0.4957,
+    "eval_runtime": 0.4873,
     "eval_samples": 408,
-    "eval_samples_per_second": 823.03,
-    "eval_steps_per_second": 4.034
+    "eval_samples_per_second": 837.231,
+    "eval_steps_per_second": 4.104
 }

logs/events.out.tfevents.1677749304.serv-3317.65033.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70bf5d804c4e3b85adfcaafca019c400c74dccab4e6ffda8c616e09aa3e89dbe
+size 467

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 7.0,
     "train_loss": 0.6304825585368076,
-    "train_runtime": 5936.2197,
+    "train_runtime": 6112.7657,
     "train_samples": 250736,
-    "train_samples_per_second": 2111.916,
-    "train_steps_per_second": 8.254
+    "train_samples_per_second": 2050.921,
+    "train_steps_per_second": 8.016
 }

trainer_state.json

@@ -19,9 +19,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6244884133338928,
-      "eval_runtime": 0.4844,
-      "eval_samples_per_second": 842.316,
-      "eval_steps_per_second": 4.129,
+      "eval_runtime": 0.489,
+      "eval_samples_per_second": 834.271,
+      "eval_steps_per_second": 4.09,
       "step": 980
     },
     {
@@ -36,9 +36,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6239516139030457,
-      "eval_runtime": 0.4853,
-      "eval_samples_per_second": 840.662,
-      "eval_steps_per_second": 4.121,
+      "eval_runtime": 0.4884,
+      "eval_samples_per_second": 835.412,
+      "eval_steps_per_second": 4.095,
       "step": 1960
     },
     {
@@ -53,9 +53,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6259029507637024,
-      "eval_runtime": 0.4889,
-      "eval_samples_per_second": 834.471,
-      "eval_steps_per_second": 4.091,
+      "eval_runtime": 0.489,
+      "eval_samples_per_second": 834.359,
+      "eval_steps_per_second": 4.09,
       "step": 2940
     },
     {
@@ -70,9 +70,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6251693964004517,
-      "eval_runtime": 0.4839,
-      "eval_samples_per_second": 843.134,
-      "eval_steps_per_second": 4.133,
+      "eval_runtime": 0.4902,
+      "eval_samples_per_second": 832.302,
+      "eval_steps_per_second": 4.08,
       "step": 3920
     },
     {
@@ -87,9 +87,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6241449117660522,
-      "eval_runtime": 0.4848,
-      "eval_samples_per_second": 841.641,
-      "eval_steps_per_second": 4.126,
+      "eval_runtime": 0.4885,
+      "eval_samples_per_second": 835.178,
+      "eval_steps_per_second": 4.094,
       "step": 4900
     },
     {
@@ -104,9 +104,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6241024136543274,
-      "eval_runtime": 0.4821,
-      "eval_samples_per_second": 846.383,
-      "eval_steps_per_second": 4.149,
+      "eval_runtime": 0.4883,
+      "eval_samples_per_second": 835.632,
+      "eval_steps_per_second": 4.096,
       "step": 5880
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     {
@@ -121,9 +121,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6241885423660278,
-      "eval_runtime": 0.4836,
-      "eval_samples_per_second": 843.639,
-      "eval_steps_per_second": 4.135,
+      "eval_runtime": 0.4876,
+      "eval_samples_per_second": 836.76,
+      "eval_steps_per_second": 4.102,
       "step": 6860
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     {
@@ -131,9 +131,9 @@
       "step": 6860,
       "total_flos": 2.1861021041400218e+17,
       "train_loss": 0.6304825585368076,
-      "train_runtime": 5936.2197,
-      "train_samples_per_second": 2111.916,
-      "train_steps_per_second": 8.254
+      "train_runtime": 6112.7657,
+      "train_samples_per_second": 2050.921,
+      "train_steps_per_second": 8.016
     }
   ],
   "max_steps": 49000,