Lordemarco/SentimentAnalysis

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1277
-- Accuracy: 0.2
-- F1: 0.0667
+- Loss: 0.9100
+- Accuracy: 0.7233
+- F1: 0.7224
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 2    | 2.8426          | 0.2      | 0.0667 |
-| No log        | 2.0   | 4    | 2.1277          | 0.2      | 0.0667 |
+| 0.8162        | 1.0   | 125  | 0.7315          | 0.6667   | 0.6603 |
+| 0.1307        | 2.0   | 250  | 0.9100          | 0.7233   | 0.7224 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3ac9b634de971d34b8289e54f74adaf713f8460810eaa1d0facac0898cbda8ac
 size 498615900