End of training

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -25,7 +26,7 @@ model-index:
       value: 0.8666666666666667
     - name: F1
       type: f1
-      value: 0.8675496688741722
+      value: 0.8684210526315789
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +36,9 @@ 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 the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3122
+- Loss: 0.3161
 - Accuracy: 0.8667
-- F1: 0.8675
+- F1: 0.8684
 
 ## Model description
 
@@ -70,7 +71,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.30.0
-- Pytorch 2.1.0+cu118
-- Datasets 2.14.6
-- Tokenizers 0.13.3
+- Transformers 4.35.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Nov19_16-07-39_922de8f73df2/events.out.tfevents.1700410379.922de8f73df2.2354.1

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+size 457