End of training

README.md

@@ -2,7 +2,10 @@
 license: apache-2.0
 base_model: bert-large-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-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the squad dataset.
 
 ## Model description
 

all_results.json

@@ -1,11 +1,11 @@
 {
-    "epoch": 5.0,
+    "epoch": 10.0,
     "eval_samples": 3000,
-    "exact_match": 67.93333333333334,
-    "f1": 77.72615073637355,
-    "train_loss": 0.8829002867353724,
-    "train_runtime": 330.1381,
+    "exact_match": 68.73333333333333,
+    "f1": 78.36309301342095,
+    "train_loss": 0.48002195561185795,
+    "train_runtime": 672.6088,
     "train_samples": 3000,
-    "train_samples_per_second": 45.436,
-    "train_steps_per_second": 1.424
+    "train_samples_per_second": 44.602,
+    "train_steps_per_second": 1.398
 }

args.bin

@@ -1,3 +1,3 @@
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-oid sha256:be673175ad8b159b922eceeb398d833fd2485d15cb18ce1e7f31aaf8bd92fa6a
+oid sha256:a4dd6dd4ca7a845bc22a9d743c4543b7f3f59c7a9c7ea6b4267216a8e8fa7fad
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88e9173c6a56dc2d8a2be7f2b7947a7e91ad5fadadd77e43394edcebee93f726
-size 13842730
+oid sha256:3f523387d37ce6d7a45723c9adc184a901b07da45282cb4e461a24a8c77645f3
+size 13889786

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 5.0,
+    "epoch": 10.0,
     "eval_samples": 3000,
-    "exact_match": 67.93333333333334,
-    "f1": 77.72615073637355
+    "exact_match": 68.73333333333333,
+    "f1": 78.36309301342095
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 5.0,
-    "train_loss": 0.8829002867353724,
-    "train_runtime": 330.1381,
+    "epoch": 10.0,
+    "train_loss": 0.48002195561185795,
+    "train_runtime": 672.6088,
     "train_samples": 3000,
-    "train_samples_per_second": 45.436,
-    "train_steps_per_second": 1.424
+    "train_samples_per_second": 44.602,
+    "train_steps_per_second": 1.398
 }

trainer_state.json

@@ -1,28 +1,34 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 5.0,
+  "epoch": 10.0,
   "eval_steps": 500,
-  "global_step": 470,
+  "global_step": 940,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 5.0,
-      "step": 470,
-      "total_flos": 1.044795366144e+16,
-      "train_loss": 0.8829002867353724,
-      "train_runtime": 330.1381,
-      "train_samples_per_second": 45.436,
-      "train_steps_per_second": 1.424
+      "epoch": 5.32,
+      "learning_rate": 2.340425531914894e-05,
+      "loss": 0.8504,
+      "step": 500
+    },
+    {
+      "epoch": 10.0,
+      "step": 940,
+      "total_flos": 2.089590732288e+16,
+      "train_loss": 0.48002195561185795,
+      "train_runtime": 672.6088,
+      "train_samples_per_second": 44.602,
+      "train_steps_per_second": 1.398
     }
   ],
   "logging_steps": 500,
-  "max_steps": 470,
-  "num_train_epochs": 5,
+  "max_steps": 940,
+  "num_train_epochs": 10,
   "save_steps": 500,
-  "total_flos": 1.044795366144e+16,
+  "total_flos": 2.089590732288e+16,
   "trial_name": null,
   "trial_params": null
 }