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: 0.9100
-- Accuracy: 0.7233
-- F1: 0.7224
+- Loss: 2.1277
+- Accuracy: 0.2
+- F1: 0.0667
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8162        | 1.0   | 125  | 0.7315          | 0.6667   | 0.6603 |
-| 0.1307        | 2.0   | 250  | 0.9100          | 0.7233   | 0.7224 |
+| No log        | 1.0   | 2    | 2.8426          | 0.2      | 0.0667 |
+| No log        | 2.0   | 4    | 2.1277          | 0.2      | 0.0667 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d72f4c79c9f194ab4308bae10344ed4c1361ccf3de8dd8b23a2cbe623f3071dc
+oid sha256:76086034822d7fb059ba823eb01bd4aa562655f43598348fa798d797f9b2e107
 size 498615900