Vicman229/distilbert-base-uncased-finetuned-sst-2-english-no-tuning-amazon-baby-5000

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert-base-uncased-finetuned-sst-2-english
+base_model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tmp_trainer
 
-This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0190
-- Accuracy: 0.996
+- Loss: 0.5925
+- Accuracy: 0.892
 
 ## Model description
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
+  "_name_or_path": "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
   "activation": "gelu",
   "architectures": [
     "DistilBertForSequenceClassification"

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training_args.bin

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