End of training

README.md

@@ -15,7 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0211
+- eval_loss: 4.2672
+- eval_runtime: 0.0497
+- eval_samples_per_second: 40.249
+- eval_steps_per_second: 20.124
+- epoch: 1.0
+- step: 1
 
 ## Model description
 
@@ -45,13 +50,6 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.0194        | 1.0   | 1    | 4.0211          |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

config.json

@@ -63,7 +63,28 @@
     "50": "LABEL_50",
     "51": "LABEL_51",
     "52": "LABEL_52",
-    "53": "LABEL_53"
+    "53": "LABEL_53",
+    "54": "LABEL_54",
+    "55": "LABEL_55",
+    "56": "LABEL_56",
+    "57": "LABEL_57",
+    "58": "LABEL_58",
+    "59": "LABEL_59",
+    "60": "LABEL_60",
+    "61": "LABEL_61",
+    "62": "LABEL_62",
+    "63": "LABEL_63",
+    "64": "LABEL_64",
+    "65": "LABEL_65",
+    "66": "LABEL_66",
+    "67": "LABEL_67",
+    "68": "LABEL_68",
+    "69": "LABEL_69",
+    "70": "LABEL_70",
+    "71": "LABEL_71",
+    "72": "LABEL_72",
+    "73": "LABEL_73",
+    "74": "LABEL_74"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -118,8 +139,29 @@
     "LABEL_51": 51,
     "LABEL_52": 52,
     "LABEL_53": 53,
+    "LABEL_54": 54,
+    "LABEL_55": 55,
+    "LABEL_56": 56,
+    "LABEL_57": 57,
+    "LABEL_58": 58,
+    "LABEL_59": 59,
     "LABEL_6": 6,
+    "LABEL_60": 60,
+    "LABEL_61": 61,
+    "LABEL_62": 62,
+    "LABEL_63": 63,
+    "LABEL_64": 64,
+    "LABEL_65": 65,
+    "LABEL_66": 66,
+    "LABEL_67": 67,
+    "LABEL_68": 68,
+    "LABEL_69": 69,
     "LABEL_7": 7,
+    "LABEL_70": 70,
+    "LABEL_71": 71,
+    "LABEL_72": 72,
+    "LABEL_73": 73,
+    "LABEL_74": 74,
     "LABEL_8": 8,
     "LABEL_9": 9
   },

model.safetensors

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-size 435756040
+oid sha256:9ace794b99ecc7aeae0836b2d1189098821ec78d248963a2fafa027b7254b199
+size 435820636

runs/Jan17_06-31-51_9e8811c6b851/events.out.tfevents.1705473115.9e8811c6b851.3247.3

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+size 7822

trainer_state.json

@@ -11,32 +11,23 @@
     {
       "epoch": 1.0,
       "learning_rate": 0.0,
-      "loss": 1.0194,
+      "loss": 1.088,
       "step": 1
     },
     {
       "epoch": 1.0,
-      "eval_loss": 4.0211181640625,
-      "eval_runtime": 0.0298,
-      "eval_samples_per_second": 67.051,
-      "eval_steps_per_second": 33.525,
+      "eval_loss": 4.267153739929199,
+      "eval_runtime": 0.0497,
+      "eval_samples_per_second": 40.249,
+      "eval_steps_per_second": 20.124,
       "step": 1
-    },
-    {
-      "epoch": 1.0,
-      "step": 1,
-      "total_flos": 584109418464.0,
-      "train_loss": 1.0194010734558105,
-      "train_runtime": 15.5881,
-      "train_samples_per_second": 0.513,
-      "train_steps_per_second": 0.064
     }
   ],
   "logging_steps": 1,
   "max_steps": 1,
   "num_train_epochs": 1,
   "save_steps": 20,
-  "total_flos": 584109418464.0,
+  "total_flos": 576049352400.0,
   "trial_name": null,
   "trial_params": null
 }

training_args.bin

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 size 4600