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": 20.0,
+    "epoch": 50.0,
     "eval_samples": 3000,
-    "exact_match": 69.03333333333333,
-    "f1": 78.21299403265996,
-    "train_loss": 0.2561215139449911,
-    "train_runtime": 1328.0047,
+    "exact_match": 63.86666666666667,
+    "f1": 73.7236267616498,
+    "train_loss": 0.12967263718868824,
+    "train_runtime": 3347.7202,
     "train_samples": 3000,
-    "train_samples_per_second": 45.181,
-    "train_steps_per_second": 1.416
+    "train_samples_per_second": 44.807,
+    "train_steps_per_second": 1.404
 }

args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef08c2a2a968ce0542edfbe8738b35698407b9918120a509c013b89ffc2b08f9
+oid sha256:4015dd159607636eb5bec32e4824d97fc96cf9c1a1c298393b8d67049f193c70
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca84f218dbedfc47fa3f7f6ac34b6f85ff675325944c60c9c8fcb02eda633c74
-size 13785669
+oid sha256:b59372aabc13b14e39dfe745c0ad148227ea05b04ec91bf8240be8d05daeaaeb
+size 13849437

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 20.0,
+    "epoch": 50.0,
     "eval_samples": 3000,
-    "exact_match": 69.03333333333333,
-    "f1": 78.21299403265996
+    "exact_match": 63.86666666666667,
+    "f1": 73.7236267616498
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 20.0,
-    "train_loss": 0.2561215139449911,
-    "train_runtime": 1328.0047,
+    "epoch": 50.0,
+    "train_loss": 0.12967263718868824,
+    "train_runtime": 3347.7202,
     "train_samples": 3000,
-    "train_samples_per_second": 45.181,
-    "train_steps_per_second": 1.416
+    "train_samples_per_second": 44.807,
+    "train_steps_per_second": 1.404
 }

trainer_state.json

@@ -1,46 +1,82 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 20.0,
+  "epoch": 50.0,
   "eval_steps": 500,
-  "global_step": 1880,
+  "global_step": 4700,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
       "epoch": 5.32,
-      "learning_rate": 3.670212765957447e-05,
-      "loss": 0.8422,
+      "learning_rate": 4.468085106382979e-05,
+      "loss": 0.867,
       "step": 500
     },
     {
       "epoch": 10.64,
-      "learning_rate": 2.340425531914894e-05,
-      "loss": 0.0931,
+      "learning_rate": 3.936170212765958e-05,
+      "loss": 0.1247,
       "step": 1000
     },
     {
       "epoch": 15.96,
-      "learning_rate": 1.0106382978723404e-05,
-      "loss": 0.0236,
+      "learning_rate": 3.4042553191489365e-05,
+      "loss": 0.069,
       "step": 1500
     },
     {
-      "epoch": 20.0,
-      "step": 1880,
-      "total_flos": 4.179181464576e+16,
-      "train_loss": 0.2561215139449911,
-      "train_runtime": 1328.0047,
-      "train_samples_per_second": 45.181,
-      "train_steps_per_second": 1.416
+      "epoch": 21.28,
+      "learning_rate": 2.8723404255319154e-05,
+      "loss": 0.044,
+      "step": 2000
+    },
+    {
+      "epoch": 26.6,
+      "learning_rate": 2.340425531914894e-05,
+      "loss": 0.0192,
+      "step": 2500
+    },
+    {
+      "epoch": 31.91,
+      "learning_rate": 1.8085106382978724e-05,
+      "loss": 0.0142,
+      "step": 3000
+    },
+    {
+      "epoch": 37.23,
+      "learning_rate": 1.2765957446808511e-05,
+      "loss": 0.0169,
+      "step": 3500
+    },
+    {
+      "epoch": 42.55,
+      "learning_rate": 7.446808510638298e-06,
+      "loss": 0.0163,
+      "step": 4000
+    },
+    {
+      "epoch": 47.87,
+      "learning_rate": 2.1276595744680853e-06,
+      "loss": 0.0219,
+      "step": 4500
+    },
+    {
+      "epoch": 50.0,
+      "step": 4700,
+      "total_flos": 1.044795366144e+17,
+      "train_loss": 0.12967263718868824,
+      "train_runtime": 3347.7202,
+      "train_samples_per_second": 44.807,
+      "train_steps_per_second": 1.404
     }
   ],
   "logging_steps": 500,
-  "max_steps": 1880,
-  "num_train_epochs": 20,
+  "max_steps": 4700,
+  "num_train_epochs": 50,
   "save_steps": 500,
-  "total_flos": 4.179181464576e+16,
+  "total_flos": 1.044795366144e+17,
   "trial_name": null,
   "trial_params": null
 }