TejasBits/my_finetuned_sentiment_model

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.6291
+- Loss: 0.6353
 
 ## Model description
 
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3689        | 1.0   | 14   | 1.1290          |
-| 0.9131        | 2.0   | 28   | 0.7079          |
-| 0.2397        | 3.0   | 42   | 0.6291          |
+| 1.1641        | 1.0   | 14   | 0.7929          |
+| 0.49          | 2.0   | 28   | 0.6487          |
+| 0.1544        | 3.0   | 42   | 0.6353          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fb290087f3b84ce53f187e3416a729c39462927f38b4e8f38b11984fbe5ddab5
+oid sha256:5cf15e5cedd8c7cc32392257be03503c26f744363d6150f52c9a265d4dbaee92
 size 267832560