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: 4.3336
+- eval_loss: 4.2773
+- eval_runtime: 0.0355
+- eval_samples_per_second: 56.38
+- eval_steps_per_second: 28.19
+- 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 |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.1037        | 1.0   | 1    | 4.3336          |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

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runs/Jan17_06-59-56_9e8811c6b851/events.out.tfevents.1705474798.9e8811c6b851.3247.8

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+size 7822

trainer_state.json

@@ -11,25 +11,16 @@
     {
       "epoch": 1.0,
       "learning_rate": 0.0,
-      "loss": 1.1037,
+      "loss": 1.0902,
       "step": 1
     },
     {
       "epoch": 1.0,
-      "eval_loss": 4.333573341369629,
-      "eval_runtime": 0.036,
-      "eval_samples_per_second": 55.487,
-      "eval_steps_per_second": 27.744,
+      "eval_loss": 4.27725887298584,
+      "eval_runtime": 0.0355,
+      "eval_samples_per_second": 56.38,
+      "eval_steps_per_second": 28.19,
       "step": 1
-    },
-    {
-      "epoch": 1.0,
-      "step": 1,
-      "total_flos": 576049352400.0,
-      "train_loss": 1.1036854982376099,
-      "train_runtime": 21.068,
-      "train_samples_per_second": 0.38,
-      "train_steps_per_second": 0.047
     }
   ],
   "logging_steps": 1,

training_args.bin

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