ash97ash/my_finetuned_sentiment_model

README.md

@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_finetuned_sentiment_model
 
-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-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3169
+- Loss: 0.3408
 
 ## Model description
 
@@ -47,14 +47,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7291        | 1.0   | 14   | 0.5972          |
-| 0.6383        | 2.0   | 28   | 0.3975          |
-| 0.2363        | 3.0   | 42   | 0.3169          |
+| 1.6507        | 1.0   | 14   | 0.3973          |
+| 0.5565        | 2.0   | 28   | 0.3120          |
+| 0.2297        | 3.0   | 42   | 0.3408          |
 
 
 ### Framework versions
 
 - Transformers 4.46.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.1.0
 - Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35d6c359ebbbeec697e958b12af0ac5a9484178a32967f6ea519d7237dde53c2
+oid sha256:0630693b264b809851b6d2e9a70727eaea05974ca14e7042ae77c7641a9ea6a0
 size 267832560