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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7977
-- Precision: 0.8653
-- Recall: 0.8624
-- F1: 0.8621
-- Accuracy: 0.8624
+- Loss: 1.2959
+- Precision: 0.8339
+- Recall: 0.8325
+- F1: 0.8328
+- Accuracy: 0.8325
 
 ## Model description
 
@@ -44,12 +44,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- train_batch_size: 100
+- eval_batch_size: 100
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 20
+- num_epochs: 50
 
 ### Training results
 

runs/Apr18_11-31-15_7799c16a65ed/events.out.tfevents.1713441287.7799c16a65ed.247.5

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