End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 tags:
 - generated_from_trainer
 datasets:
@@ -13,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE MRPC
       type: glue
       config: mrpc
       split: validation
@@ -21,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7622549019607843
+      value: 0.6936274509803921
     - name: F1
       type: f1
-      value: 0.8380634390651085
+      value: 0.8085758039816232
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # hBERTv2_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 the glue 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: 0.9954
-- Accuracy: 0.7623
-- F1: 0.8381
-- Combined Score: 0.8002
+- Loss: 0.5772
+- Accuracy: 0.6936
+- F1: 0.8086
+- Combined Score: 0.7511
 
 ## Model description
 

all_results.json

@@ -4,13 +4,13 @@
     "eval_combined_score": 0.7511016274810076,
     "eval_f1": 0.8085758039816232,
     "eval_loss": 0.5771955847740173,
-    "eval_runtime": 0.4842,
+    "eval_runtime": 0.4841,
     "eval_samples": 408,
-    "eval_samples_per_second": 842.623,
+    "eval_samples_per_second": 842.717,
     "eval_steps_per_second": 4.131,
-    "train_loss": 0.18271473944187164,
-    "train_runtime": 94.8977,
+    "train_loss": 0.4106310119231542,
+    "train_runtime": 160.8809,
     "train_samples": 3668,
-    "train_samples_per_second": 1932.608,
-    "train_steps_per_second": 7.903
+    "train_samples_per_second": 1139.973,
+    "train_steps_per_second": 4.662
 }

eval_results.json

@@ -4,8 +4,8 @@
     "eval_combined_score": 0.7511016274810076,
     "eval_f1": 0.8085758039816232,
     "eval_loss": 0.5771955847740173,
-    "eval_runtime": 0.4842,
+    "eval_runtime": 0.4841,
     "eval_samples": 408,
-    "eval_samples_per_second": 842.623,
+    "eval_samples_per_second": 842.717,
     "eval_steps_per_second": 4.131
 }

logs/events.out.tfevents.1677737852.serv-3317.65116.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:544f2189550df7c213cac5d20e995bdc86ea2078f855387e3be59f188a5535e4
+size 459

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 8.0,
-    "train_loss": 0.18271473944187164,
-    "train_runtime": 94.8977,
+    "train_loss": 0.4106310119231542,
+    "train_runtime": 160.8809,
     "train_samples": 3668,
-    "train_samples_per_second": 1932.608,
-    "train_steps_per_second": 7.903
+    "train_samples_per_second": 1139.973,
+    "train_steps_per_second": 4.662
 }

trainer_state.json

@@ -19,9 +19,9 @@
       "eval_combined_score": 0.7480253018237863,
       "eval_f1": 0.8122270742358079,
       "eval_loss": 0.6297235488891602,
-      "eval_runtime": 0.4865,
-      "eval_samples_per_second": 838.69,
-      "eval_steps_per_second": 4.111,
+      "eval_runtime": 0.4849,
+      "eval_samples_per_second": 841.375,
+      "eval_steps_per_second": 4.124,
       "step": 15
     },
     {
@@ -36,9 +36,9 @@
       "eval_combined_score": 0.7511175174915782,
       "eval_f1": 0.8135095447870779,
       "eval_loss": 0.631518542766571,
-      "eval_runtime": 0.4865,
-      "eval_samples_per_second": 838.716,
-      "eval_steps_per_second": 4.111,
+      "eval_runtime": 0.4881,
+      "eval_samples_per_second": 835.824,
+      "eval_steps_per_second": 4.097,
       "step": 30
     },
     {
@@ -53,9 +53,9 @@
       "eval_combined_score": 0.7511016274810076,
       "eval_f1": 0.8085758039816232,
       "eval_loss": 0.5771955847740173,
-      "eval_runtime": 0.485,
-      "eval_samples_per_second": 841.168,
-      "eval_steps_per_second": 4.123,
+      "eval_runtime": 0.4811,
+      "eval_samples_per_second": 847.98,
+      "eval_steps_per_second": 4.157,
       "step": 45
     },
     {
@@ -70,9 +70,9 @@
       "eval_combined_score": 0.7580659536541889,
       "eval_f1": 0.8151515151515151,
       "eval_loss": 0.6260703206062317,
-      "eval_runtime": 0.4844,
-      "eval_samples_per_second": 842.253,
-      "eval_steps_per_second": 4.129,
+      "eval_runtime": 0.4792,
+      "eval_samples_per_second": 851.387,
+      "eval_steps_per_second": 4.173,
       "step": 60
     },
     {
@@ -87,9 +87,9 @@
       "eval_combined_score": 0.7737266857962697,
       "eval_f1": 0.8195121951219512,
       "eval_loss": 0.6433467268943787,
-      "eval_runtime": 0.484,
-      "eval_samples_per_second": 842.954,
-      "eval_steps_per_second": 4.132,
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+      "eval_samples_per_second": 848.666,
+      "eval_steps_per_second": 4.16,
       "step": 75
     },
     {
@@ -104,9 +104,9 @@
       "eval_combined_score": 0.7228365030222615,
       "eval_f1": 0.7593984962406015,
       "eval_loss": 0.7530680894851685,
-      "eval_runtime": 0.4824,
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+      "eval_samples_per_second": 841.795,
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       "step": 90
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     {
@@ -121,9 +121,9 @@
       "eval_combined_score": 0.7767899328406062,
       "eval_f1": 0.8158347676419966,
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       "step": 105
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     {
@@ -138,19 +138,19 @@
       "eval_combined_score": 0.8001591705129464,
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     {
       "epoch": 8.0,
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       "total_flos": 3654895836069888.0,
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+      "train_loss": 0.4106310119231542,
+      "train_runtime": 160.8809,
+      "train_samples_per_second": 1139.973,
+      "train_steps_per_second": 4.662
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   "max_steps": 750,