Lordemarco/SentimentAnalysis

README.md

@@ -4,6 +4,9 @@ license: cc-by-4.0
 base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: sentiment_model
   results: []
@@ -15,6 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 # sentiment_model
 
 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: 0.6222
+- Accuracy: 0.7133
+- F1: 0.7105
 
 ## Model description
 
@@ -45,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 1    | 2.7827          | 0.2      | 0.0667 |
+| 0.6601        | 1.0   | 63   | 0.6222          | 0.7133   | 0.7105 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b10c2498ec5b4d02edfb19115186b4b23469c99a97394c31774933930c1b21a
+oid sha256:0ad9f3298b237d498cc6854cef7f07362b00fe1ff4fa99ce3da906157e3013f6
 size 498615900