End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2302
-- Accuracy: 0.9092
-- F1: 0.9102
-- Precision: 0.9069
-- Recall: 0.9135
+- Loss: 0.2259
+- Accuracy: 0.9125
+- F1: 0.9131
+- Precision: 0.9126
+- Recall: 0.9137
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -59,5 +59,4 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.15.0
 - Tokenizers 0.15.0

runs/Nov30_19-26-29_5952eed4301f/events.out.tfevents.1701373866.5952eed4301f.869.1

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