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: 0.7980
+- Accuracy: 0.741
+- F1: 0.7387
 
 ## Model description
 
@@ -34,18 +41,19 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 32
+- train_batch_size: 8
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 1    | 2.7827          | 0.2      | 0.0667 |
+| 0.8162        | 1.0   | 125  | 0.6616          | 0.69     | 0.6786 |
+| 0.1307        | 2.0   | 250  | 0.7980          | 0.741    | 0.7387 |
 
 
 ### Framework versions

model.safetensors

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 size 498615900

training_args.bin

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 size 5112