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": 10.0,
+    "epoch": 20.0,
     "eval_samples": 3000,
-    "exact_match": 57.9,
-    "f1": 68.29356952960427,
-    "train_loss": 0.8431574395362367,
-    "train_runtime": 209.5308,
+    "exact_match": 59.46666666666667,
+    "f1": 69.99235737832946,
+    "train_loss": 0.43026711484219166,
+    "train_runtime": 417.5852,
     "train_samples": 3000,
-    "train_samples_per_second": 143.177,
-    "train_steps_per_second": 2.243
+    "train_samples_per_second": 143.683,
+    "train_steps_per_second": 2.251
 }

args.bin

@@ -1,3 +1,3 @@
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-oid sha256:d71562d946de7abbfd80855de1aeb455f5fa72fdf5be4043c7635ca34e7878a8
+oid sha256:1db3a32dd0897f2b33c691426cf9c7bac2c654137e9ed44906afc34efb6517d8
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
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-oid sha256:0eb0b92ab764d996c08df8d1432896a80f9410e4628c75f5f2b472ead9a9e69a
-size 14163554
+oid sha256:6f7965b8b995130479949c3f5285393110c0ce449e1d799bf455e262358946ed
+size 14238769

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 10.0,
+    "epoch": 20.0,
     "eval_samples": 3000,
-    "exact_match": 57.9,
-    "f1": 68.29356952960427
+    "exact_match": 59.46666666666667,
+    "f1": 69.99235737832946
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "train_loss": 0.8431574395362367,
-    "train_runtime": 209.5308,
+    "epoch": 20.0,
+    "train_loss": 0.43026711484219166,
+    "train_runtime": 417.5852,
     "train_samples": 3000,
-    "train_samples_per_second": 143.177,
-    "train_steps_per_second": 2.243
+    "train_samples_per_second": 143.683,
+    "train_steps_per_second": 2.251
 }

trainer_state.json

@@ -1,28 +1,34 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 10.0,
+  "epoch": 20.0,
   "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": 10.0,
-      "step": 470,
-      "total_flos": 5879177026560000.0,
-      "train_loss": 0.8431574395362367,
-      "train_runtime": 209.5308,
-      "train_samples_per_second": 143.177,
-      "train_steps_per_second": 2.243
+      "epoch": 10.64,
+      "learning_rate": 2.340425531914894e-05,
+      "loss": 0.7735,
+      "step": 500
+    },
+    {
+      "epoch": 20.0,
+      "step": 940,
+      "total_flos": 1.175835405312e+16,
+      "train_loss": 0.43026711484219166,
+      "train_runtime": 417.5852,
+      "train_samples_per_second": 143.683,
+      "train_steps_per_second": 2.251
     }
   ],
   "logging_steps": 500,
-  "max_steps": 470,
-  "num_train_epochs": 10,
+  "max_steps": 940,
+  "num_train_epochs": 20,
   "save_steps": 500,
-  "total_flos": 5879177026560000.0,
+  "total_flos": 1.175835405312e+16,
   "trial_name": null,
   "trial_params": null
 }