End of training

README.md

@@ -2,7 +2,10 @@
 license: apache-2.0
 base_model: bert-base-uncased
 tags:
+- question-answering
 - generated_from_trainer
+datasets:
+- squad
 model-index:
 - name: out
   results: []
@@ -13,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # out
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
 
 ## Model description
 

all_results.json

@@ -1,11 +1,11 @@
 {
-    "epoch": 100.0,
+    "epoch": 3.0,
     "eval_samples": 3000,
-    "exact_match": 60.5,
-    "f1": 70.3668012607117,
-    "train_loss": 0.1228165536125501,
-    "train_runtime": 1700.5679,
+    "exact_match": 51.766666666666666,
+    "f1": 62.060215673881046,
+    "train_loss": 2.3154240601451685,
+    "train_runtime": 65.1172,
     "train_samples": 3000,
-    "train_samples_per_second": 176.412,
-    "train_steps_per_second": 1.411
+    "train_samples_per_second": 138.212,
+    "train_steps_per_second": 2.165
 }

args.bin

@@ -1,3 +1,3 @@
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-oid sha256:43a7b6155fe1e7612b9f2e9cce74cd881ec6db8992e059504b437dd292ad32a7
+oid sha256:11604ad89b08049e097f40399249ba7ce9f86267cf14f0a77f1ecd6a6b410a5b
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
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-oid sha256:31af423123276b7fa8b775504ea7f3250b4a79be1b850974e248acfe46ba0e6f
-size 14126457
+oid sha256:15ff721d5d57000f51ddb63bc58d2fb1d4b18b152c80840039e3f2608779c17c
+size 13955044

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 100.0,
+    "epoch": 3.0,
     "eval_samples": 3000,
-    "exact_match": 60.5,
-    "f1": 70.3668012607117
+    "exact_match": 51.766666666666666,
+    "f1": 62.060215673881046
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 100.0,
-    "train_loss": 0.1228165536125501,
-    "train_runtime": 1700.5679,
+    "epoch": 3.0,
+    "train_loss": 2.3154240601451685,
+    "train_runtime": 65.1172,
     "train_samples": 3000,
-    "train_samples_per_second": 176.412,
-    "train_steps_per_second": 1.411
+    "train_samples_per_second": 138.212,
+    "train_steps_per_second": 2.165
 }

trainer_state.json

@@ -1,52 +1,28 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 100.0,
+  "epoch": 3.0,
   "eval_steps": 500,
-  "global_step": 2400,
+  "global_step": 141,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 20.83,
-      "learning_rate": 3.958333333333333e-05,
-      "loss": 0.5594,
-      "step": 500
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-    {
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-      "learning_rate": 2.916666666666667e-05,
-      "loss": 0.0197,
-      "step": 1000
-    },
-    {
-      "epoch": 62.5,
-      "learning_rate": 1.8750000000000002e-05,
-      "loss": 0.0056,
-      "step": 1500
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-    {
-      "epoch": 83.33,
-      "learning_rate": 8.333333333333334e-06,
-      "loss": 0.0027,
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-    {
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-      "total_flos": 5.87917702656e+16,
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-      "train_runtime": 1700.5679,
-      "train_samples_per_second": 176.412,
-      "train_steps_per_second": 1.411
+      "epoch": 3.0,
+      "step": 141,
+      "total_flos": 1763753107968000.0,
+      "train_loss": 2.3154240601451685,
+      "train_runtime": 65.1172,
+      "train_samples_per_second": 138.212,
+      "train_steps_per_second": 2.165
     }
   ],
   "logging_steps": 500,
-  "max_steps": 2400,
-  "num_train_epochs": 100,
+  "max_steps": 141,
+  "num_train_epochs": 3,
   "save_steps": 500,
-  "total_flos": 5.87917702656e+16,
+  "total_flos": 1763753107968000.0,
   "trial_name": null,
   "trial_params": null
 }