RoBERTa_subjective

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9567
-- Accuracy: 0.625
-- F1: 0.6206
+- Loss: 1.0522
+- Accuracy: 0.5
+- F1: 0.4928
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.1967        | 1.0   | 51   | 1.0902          | 0.495    | 0.4281 |
-| 0.9089        | 2.0   | 102  | 0.9414          | 0.605    | 0.5886 |
-| 0.7381        | 3.0   | 153  | 0.9567          | 0.625    | 0.6206 |
+| 1.3471        | 1.0   | 51   | 1.2407          | 0.395    | 0.3678 |
+| 1.1707        | 2.0   | 102  | 1.0926          | 0.47     | 0.4545 |
+| 1.0079        | 3.0   | 153  | 1.0522          | 0.5      | 0.4928 |
 
 
 ### Framework versions

model.safetensors

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runs/Jun10_16-05-17_6ac9ec4c049c/events.out.tfevents.1718035520.6ac9ec4c049c.5633.7

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training_args.bin

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