End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_5_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_5_v1_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.38028169014084506
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_lda_5_v1_wnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8547
-- Accuracy: 0.1690
+- Loss: 0.7339
+- Accuracy: 0.3803
 
 ## Model description
 

all_results.json

@@ -1,15 +1,15 @@
 {
-    "epoch": 9.0,
-    "eval_accuracy": 0.5633802816901409,
-    "eval_loss": 0.6871697902679443,
-    "eval_runtime": 0.0527,
+    "epoch": 7.0,
+    "eval_accuracy": 0.38028169014084506,
+    "eval_loss": 0.7339349985122681,
+    "eval_runtime": 0.0546,
     "eval_samples": 71,
-    "eval_samples_per_second": 1348.175,
-    "eval_steps_per_second": 18.988,
-    "total_flos": 751839840691200.0,
-    "train_loss": 1.0389759805467393,
-    "train_runtime": 30.5356,
+    "eval_samples_per_second": 1300.44,
+    "eval_steps_per_second": 18.316,
+    "total_flos": 584764320537600.0,
+    "train_loss": 0.6992167291187105,
+    "train_runtime": 26.7084,
     "train_samples": 635,
-    "train_samples_per_second": 1039.771,
-    "train_steps_per_second": 4.912
+    "train_samples_per_second": 1188.763,
+    "train_steps_per_second": 5.616
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
-    "epoch": 9.0,
-    "eval_accuracy": 0.5633802816901409,
-    "eval_loss": 0.6871697902679443,
-    "eval_runtime": 0.0527,
+    "epoch": 7.0,
+    "eval_accuracy": 0.38028169014084506,
+    "eval_loss": 0.7339349985122681,
+    "eval_runtime": 0.0546,
     "eval_samples": 71,
-    "eval_samples_per_second": 1348.175,
-    "eval_steps_per_second": 18.988
+    "eval_samples_per_second": 1300.44,
+    "eval_steps_per_second": 18.316
 }

logs/events.out.tfevents.1733317164.ki-g0008.1206925.15

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e14125feb6bd1419f3d2b5082b73b4606a32182f761ca8a749b29362ece8d22e
+size 405

train_results.json

@@ -1,9 +1,9 @@
 {
-    "epoch": 9.0,
-    "total_flos": 751839840691200.0,
-    "train_loss": 1.0389759805467393,
-    "train_runtime": 30.5356,
+    "epoch": 7.0,
+    "total_flos": 584764320537600.0,
+    "train_loss": 0.6992167291187105,
+    "train_runtime": 26.7084,
     "train_samples": 635,
-    "train_samples_per_second": 1039.771,
-    "train_steps_per_second": 4.912
+    "train_samples_per_second": 1188.763,
+    "train_steps_per_second": 5.616
 }

trainer_state.json

@@ -1,165 +1,133 @@
 {
-  "best_metric": 0.6871697902679443,
-  "best_model_checkpoint": "bert_base_lda_5_v1_wnli/checkpoint-12",
-  "epoch": 9.0,
+  "best_metric": 0.7339349985122681,
+  "best_model_checkpoint": "bert_base_lda_5_v1_wnli/checkpoint-6",
+  "epoch": 7.0,
   "eval_steps": 500,
-  "global_step": 27,
+  "global_step": 21,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
   "log_history": [
     {
       "epoch": 1.0,
-      "grad_norm": 12.35181713104248,
-      "learning_rate": 0.00098,
-      "loss": 1.1014,
+      "grad_norm": 1.3261046409606934,
+      "learning_rate": 4.9e-05,
+      "loss": 0.7595,
       "step": 3
     },
     {
       "epoch": 1.0,
-      "eval_accuracy": 0.5633802816901409,
-      "eval_loss": 1.8102580308914185,
-      "eval_runtime": 0.052,
-      "eval_samples_per_second": 1365.859,
-      "eval_steps_per_second": 19.237,
+      "eval_accuracy": 0.38028169014084506,
+      "eval_loss": 0.7546765208244324,
+      "eval_runtime": 0.0536,
+      "eval_samples_per_second": 1325.604,
+      "eval_steps_per_second": 18.67,
       "step": 3
     },
     {
       "epoch": 2.0,
-      "grad_norm": 26.631643295288086,
-      "learning_rate": 0.00096,
-      "loss": 1.4998,
+      "grad_norm": 1.0250415802001953,
+      "learning_rate": 4.8e-05,
+      "loss": 0.7035,
       "step": 6
     },
     {
       "epoch": 2.0,
-      "eval_accuracy": 0.5633802816901409,
-      "eval_loss": 2.1869497299194336,
-      "eval_runtime": 0.0545,
-      "eval_samples_per_second": 1302.778,
-      "eval_steps_per_second": 18.349,
+      "eval_accuracy": 0.38028169014084506,
+      "eval_loss": 0.7339349985122681,
+      "eval_runtime": 0.0533,
+      "eval_samples_per_second": 1332.156,
+      "eval_steps_per_second": 18.763,
       "step": 6
     },
     {
       "epoch": 3.0,
-      "grad_norm": 14.211752891540527,
-      "learning_rate": 0.00094,
-      "loss": 1.6341,
+      "grad_norm": 0.9258949756622314,
+      "learning_rate": 4.7e-05,
+      "loss": 0.6886,
       "step": 9
     },
     {
       "epoch": 3.0,
-      "eval_accuracy": 0.43661971830985913,
-      "eval_loss": 2.1260569095611572,
-      "eval_runtime": 0.0529,
-      "eval_samples_per_second": 1342.153,
-      "eval_steps_per_second": 18.904,
+      "eval_accuracy": 0.2112676056338028,
+      "eval_loss": 0.760481059551239,
+      "eval_runtime": 0.0557,
+      "eval_samples_per_second": 1274.684,
+      "eval_steps_per_second": 17.953,
       "step": 9
     },
     {
       "epoch": 4.0,
-      "grad_norm": 10.683871269226074,
-      "learning_rate": 0.00092,
-      "loss": 1.492,
+      "grad_norm": 1.567131519317627,
+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.6933,
       "step": 12
     },
     {
       "epoch": 4.0,
-      "eval_accuracy": 0.5633802816901409,
-      "eval_loss": 0.6871697902679443,
-      "eval_runtime": 0.0527,
-      "eval_samples_per_second": 1347.485,
-      "eval_steps_per_second": 18.979,
+      "eval_accuracy": 0.22535211267605634,
+      "eval_loss": 0.7813875675201416,
+      "eval_runtime": 0.0531,
+      "eval_samples_per_second": 1336.887,
+      "eval_steps_per_second": 18.829,
       "step": 12
     },
     {
       "epoch": 5.0,
-      "grad_norm": 2.779585361480713,
-      "learning_rate": 0.0009000000000000001,
-      "loss": 0.7047,
+      "grad_norm": 1.0627994537353516,
+      "learning_rate": 4.5e-05,
+      "loss": 0.6894,
       "step": 15
     },
     {
       "epoch": 5.0,
-      "eval_accuracy": 0.43661971830985913,
-      "eval_loss": 0.7811673283576965,
-      "eval_runtime": 0.1151,
-      "eval_samples_per_second": 616.72,
-      "eval_steps_per_second": 8.686,
+      "eval_accuracy": 0.22535211267605634,
+      "eval_loss": 0.814260721206665,
+      "eval_runtime": 0.0562,
+      "eval_samples_per_second": 1264.203,
+      "eval_steps_per_second": 17.806,
       "step": 15
     },
     {
       "epoch": 6.0,
-      "grad_norm": 0.9340969324111938,
-      "learning_rate": 0.00088,
-      "loss": 0.7143,
+      "grad_norm": 1.213302493095398,
+      "learning_rate": 4.4000000000000006e-05,
+      "loss": 0.6803,
       "step": 18
     },
     {
       "epoch": 6.0,
-      "eval_accuracy": 0.5633802816901409,
-      "eval_loss": 0.6881052851676941,
-      "eval_runtime": 0.0525,
-      "eval_samples_per_second": 1352.184,
-      "eval_steps_per_second": 19.045,
+      "eval_accuracy": 0.1267605633802817,
+      "eval_loss": 0.8257593512535095,
+      "eval_runtime": 0.0534,
+      "eval_samples_per_second": 1330.175,
+      "eval_steps_per_second": 18.735,
       "step": 18
     },
     {
       "epoch": 7.0,
-      "grad_norm": 4.257674217224121,
-      "learning_rate": 0.00086,
-      "loss": 0.7199,
+      "grad_norm": 0.9398391842842102,
+      "learning_rate": 4.3e-05,
+      "loss": 0.6799,
       "step": 21
     },
     {
       "epoch": 7.0,
-      "eval_accuracy": 0.43661971830985913,
-      "eval_loss": 0.8079062104225159,
-      "eval_runtime": 0.0527,
-      "eval_samples_per_second": 1348.443,
-      "eval_steps_per_second": 18.992,
+      "eval_accuracy": 0.16901408450704225,
+      "eval_loss": 0.854671061038971,
+      "eval_runtime": 0.0542,
+      "eval_samples_per_second": 1310.841,
+      "eval_steps_per_second": 18.463,
       "step": 21
     },
     {
-      "epoch": 8.0,
-      "grad_norm": 4.863579273223877,
-      "learning_rate": 0.00084,
-      "loss": 0.7574,
-      "step": 24
-    },
-    {
-      "epoch": 8.0,
-      "eval_accuracy": 0.5633802816901409,
-      "eval_loss": 0.7103047370910645,
-      "eval_runtime": 0.0522,
-      "eval_samples_per_second": 1359.325,
-      "eval_steps_per_second": 19.145,
-      "step": 24
-    },
-    {
-      "epoch": 9.0,
-      "grad_norm": 1.058039903640747,
-      "learning_rate": 0.00082,
-      "loss": 0.7273,
-      "step": 27
-    },
-    {
-      "epoch": 9.0,
-      "eval_accuracy": 0.43661971830985913,
-      "eval_loss": 0.7278280854225159,
-      "eval_runtime": 0.0525,
-      "eval_samples_per_second": 1351.337,
-      "eval_steps_per_second": 19.033,
-      "step": 27
-    },
-    {
-      "epoch": 9.0,
-      "step": 27,
-      "total_flos": 751839840691200.0,
-      "train_loss": 1.0389759805467393,
-      "train_runtime": 30.5356,
-      "train_samples_per_second": 1039.771,
-      "train_steps_per_second": 4.912
+      "epoch": 7.0,
+      "step": 21,
+      "total_flos": 584764320537600.0,
+      "train_loss": 0.6992167291187105,
+      "train_runtime": 26.7084,
+      "train_samples_per_second": 1188.763,
+      "train_steps_per_second": 5.616
     }
   ],
   "logging_steps": 1,
@@ -188,7 +156,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 751839840691200.0,
+  "total_flos": 584764320537600.0,
   "train_batch_size": 256,
   "trial_name": null,
   "trial_params": null