End of training

README.md

@@ -3,6 +3,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
   results: []
@@ -14,6 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuning-sentiment-model-3000-samples
 
 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: 0.5436
+- Accuracy: 0.68
+- F1: 0.6391
 
 ## Model description
 
@@ -47,6 +54,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.42.4
-- Pytorch 2.3.0+cu121
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

runs/Jul17_19-46-12_a1c79fbc4413/events.out.tfevents.1721245592.a1c79fbc4413.643.0

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runs/Jul17_19-46-12_a1c79fbc4413/events.out.tfevents.1721246007.a1c79fbc4413.643.1

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