End of training

README.md

@@ -2,7 +2,10 @@
 license: apache-2.0
 base_model: albert-base-v2
 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 [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset.
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the squad dataset.
 
 ## Model description
 

all_results.json

@@ -1,11 +1,11 @@
 {
-    "epoch": 100.0,
+    "epoch": 3.0,
     "eval_samples": 3000,
-    "exact_match": 64.5,
-    "f1": 75.09714036291676,
-    "train_loss": 0.06646478484074275,
-    "train_runtime": 1714.3663,
+    "exact_match": 69.9,
+    "f1": 79.5215742531325,
+    "train_loss": 1.1710426925767399,
+    "train_runtime": 62.9118,
     "train_samples": 3000,
-    "train_samples_per_second": 174.992,
-    "train_steps_per_second": 1.4
+    "train_samples_per_second": 143.057,
+    "train_steps_per_second": 2.241
 }

args.bin

@@ -1,3 +1,3 @@
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-oid sha256:137642bddb3a9af2839a1635f3f57c46cb85cc522346443497e58fcbaf1f496f
+oid sha256:e6e03a664ab39e51562438337238d05537aad13d064e856d96c7cff8144d11fd
 size 5652

eval_nbest_predictions.json

@@ -1,3 +1,3 @@
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-oid sha256:8a0779ab49a33d1232abf63226048840adfdd0b6a0ab7510bc851ed64ff309b6
-size 13435214
+oid sha256:373c2eedde14a8657fb25e82f651c4e801648b5f05b8310e22f8730f0532b422
+size 13466586

eval_results.json

@@ -1,6 +1,6 @@
 {
-    "epoch": 100.0,
+    "epoch": 3.0,
     "eval_samples": 3000,
-    "exact_match": 64.5,
-    "f1": 75.09714036291676
+    "exact_match": 69.9,
+    "f1": 79.5215742531325
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 100.0,
-    "train_loss": 0.06646478484074275,
-    "train_runtime": 1714.3663,
+    "epoch": 3.0,
+    "train_loss": 1.1710426925767399,
+    "train_runtime": 62.9118,
     "train_samples": 3000,
-    "train_samples_per_second": 174.992,
-    "train_steps_per_second": 1.4
+    "train_samples_per_second": 143.057,
+    "train_steps_per_second": 2.241
 }

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": 0.2896,
-      "step": 500
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-    {
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-      "learning_rate": 2.916666666666667e-05,
-      "loss": 0.0171,
-      "step": 1000
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-    {
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-      "learning_rate": 1.8750000000000002e-05,
-      "loss": 0.0055,
-      "step": 1500
-    },
-    {
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-      "learning_rate": 8.333333333333334e-06,
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-    {
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-      "train_runtime": 1714.3663,
-      "train_samples_per_second": 174.992,
-      "train_steps_per_second": 1.4
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+      "total_flos": 149065671168000.0,
+      "train_loss": 1.1710426925767399,
+      "train_runtime": 62.9118,
+      "train_samples_per_second": 143.057,
+      "train_steps_per_second": 2.241
     }
   ],
   "logging_steps": 500,
-  "max_steps": 2400,
-  "num_train_epochs": 100,
+  "max_steps": 141,
+  "num_train_epochs": 3,
   "save_steps": 500,
-  "total_flos": 4968855705600000.0,
+  "total_flos": 149065671168000.0,
   "trial_name": null,
   "trial_params": null
 }