my-roberta-finetuned-model

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0452
-- Accuracy: 0.6105
+- Loss: 0.9481
+- Accuracy: 0.6839
 
 ## Model description
 
@@ -43,15 +43,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 207  | 1.2511          | 0.5148   |
-| No log        | 2.0   | 414  | 1.1021          | 0.5875   |
-| 1.2293        | 3.0   | 621  | 1.0452          | 0.6105   |
+| No log        | 1.0   | 207  | 1.0120          | 0.6206   |
+| No log        | 2.0   | 414  | 0.9914          | 0.6357   |
+| 0.9337        | 3.0   | 621  | 0.9531          | 0.6609   |
+| 0.9337        | 4.0   | 828  | 0.9469          | 0.6825   |
+| 0.7962        | 5.0   | 1035 | 0.9481          | 0.6839   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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