End of training

README.md

@@ -18,9 +18,9 @@ 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: 0.2781
-- Accuracy: 0.9027
-- F1: 0.9048
+- Loss: 0.3718
+- Accuracy: 0.912
+- F1: 0.9129
 
 ## Model description
 
@@ -40,12 +40,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 

runs/Apr17_15-02-32_8f6387fef684/events.out.tfevents.1713366633.8f6387fef684.431.1

@@ -0,0 +1,3 @@
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+size 457