End of training

README.md

@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuning-sentiment-model-neologisms-distilbert
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+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: 0.3627
-- Accuracy: 0.8667
-- F1: 0.8718
-- Precision: 0.8395
-- Recall: 0.9067
+- Loss: 0.0958
+- Accuracy: 0.9781
+- F1: 0.9781
+- Precision: 0.9781
+- Recall: 0.9781
 
 ## Model description
 
@@ -45,12 +45,12 @@ 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 5
 
 ### Training results
 

runs/Nov30_01-28-46_9ff637910a45/events.out.tfevents.1732930131.9ff637910a45.1121.0

@@ -1,3 +1,3 @@
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+size 13153

runs/Nov30_01-28-46_9ff637910a45/events.out.tfevents.1732932122.9ff637910a45.1121.1

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