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": 55.53333333333333,
-    "f1": 65.96783081998758,
-    "train_loss": 1.2132312774658203,
-    "train_runtime": 174.172,
+    "exact_match": 57.233333333333334,
+    "f1": 67.95169118133123,
+    "train_loss": 0.6071154912312825,
+    "train_runtime": 342.3409,
     "train_samples": 3000,
-    "train_samples_per_second": 172.244,
-    "train_steps_per_second": 1.378
+    "train_samples_per_second": 175.264,
+    "train_steps_per_second": 1.402
 }

args.bin

@@ -1,3 +1,3 @@
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-oid sha256:cf7e1ad4b4198797fdc5a73674d54d00b4924e8a766b87ed093ae7783b7a1bdb
+oid sha256:c2d73b7875046ee1896bec2d5d2b03ed90b96fe9a7e6c23ace1465d5b59faa7d
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
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-oid sha256:d493f82275909c0b4890919d9bb255868a43e2bb5fb9ac154c4121b15f429b8f
-size 14068360
+oid sha256:93a4fa6e45b6a380cc36a142781ea1200f172c5f4bfd6b392dbe9fbfbc31c658
+size 14209492

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 10.0,
+    "epoch": 20.0,
     "eval_samples": 3000,
-    "exact_match": 55.53333333333333,
-    "f1": 65.96783081998758
+    "exact_match": 57.233333333333334,
+    "f1": 67.95169118133123
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 10.0,
-    "train_loss": 1.2132312774658203,
-    "train_runtime": 174.172,
+    "epoch": 20.0,
+    "train_loss": 0.6071154912312825,
+    "train_runtime": 342.3409,
     "train_samples": 3000,
-    "train_samples_per_second": 172.244,
-    "train_steps_per_second": 1.378
+    "train_samples_per_second": 175.264,
+    "train_steps_per_second": 1.402
 }

trainer_state.json

@@ -1,28 +1,28 @@
 {
   "best_metric": null,
   "best_model_checkpoint": null,
-  "epoch": 10.0,
+  "epoch": 20.0,
   "eval_steps": 500,
-  "global_step": 240,
+  "global_step": 480,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
-      "epoch": 10.0,
-      "step": 240,
-      "total_flos": 5879177026560000.0,
-      "train_loss": 1.2132312774658203,
-      "train_runtime": 174.172,
-      "train_samples_per_second": 172.244,
-      "train_steps_per_second": 1.378
+      "epoch": 20.0,
+      "step": 480,
+      "total_flos": 1.175835405312e+16,
+      "train_loss": 0.6071154912312825,
+      "train_runtime": 342.3409,
+      "train_samples_per_second": 175.264,
+      "train_steps_per_second": 1.402
     }
   ],
   "logging_steps": 500,
-  "max_steps": 240,
-  "num_train_epochs": 10,
+  "max_steps": 480,
+  "num_train_epochs": 20,
   "save_steps": 500,
-  "total_flos": 5879177026560000.0,
+  "total_flos": 1.175835405312e+16,
   "trial_name": null,
   "trial_params": null
 }