AurrieMartinez/roberta-base-lora-text-classification-by-finetuning-roberta

README.md

@@ -18,7 +18,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5775
+- Loss: 0.6577
 - Accuracy: {'accuracy': 0.933}
 
 ## Model description
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy            |
 |:-------------:|:-----:|:----:|:---------------:|:-------------------:|
-| No log        | 1.0   | 250  | 0.2618          | {'accuracy': 0.928} |
-| 0.3751        | 2.0   | 500  | 0.2514          | {'accuracy': 0.937} |
-| 0.3751        | 3.0   | 750  | 0.4130          | {'accuracy': 0.932} |
-| 0.115         | 4.0   | 1000 | 0.5818          | {'accuracy': 0.932} |
-| 0.115         | 5.0   | 1250 | 0.4425          | {'accuracy': 0.941} |
-| 0.0654        | 6.0   | 1500 | 0.6162          | {'accuracy': 0.931} |
-| 0.0654        | 7.0   | 1750 | 0.5229          | {'accuracy': 0.935} |
-| 0.0355        | 8.0   | 2000 | 0.5918          | {'accuracy': 0.927} |
-| 0.0355        | 9.0   | 2250 | 0.6324          | {'accuracy': 0.925} |
-| 0.0115        | 10.0  | 2500 | 0.5775          | {'accuracy': 0.933} |
+| No log        | 1.0   | 250  | 0.2663          | {'accuracy': 0.936} |
+| 0.4315        | 2.0   | 500  | 0.3082          | {'accuracy': 0.934} |
+| 0.4315        | 3.0   | 750  | 0.4077          | {'accuracy': 0.937} |
+| 0.1531        | 4.0   | 1000 | 0.5257          | {'accuracy': 0.93}  |
+| 0.1531        | 5.0   | 1250 | 0.5102          | {'accuracy': 0.939} |
+| 0.0797        | 6.0   | 1500 | 0.5795          | {'accuracy': 0.934} |
+| 0.0797        | 7.0   | 1750 | 0.5838          | {'accuracy': 0.933} |
+| 0.0373        | 8.0   | 2000 | 0.6731          | {'accuracy': 0.933} |
+| 0.0373        | 9.0   | 2250 | 0.6507          | {'accuracy': 0.938} |
+| 0.0218        | 10.0  | 2500 | 0.6577          | {'accuracy': 0.933} |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2667328

runs/Jun05_14-47-56_da5f050a75f2/events.out.tfevents.1717598877.da5f050a75f2.1485.0

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training_args.bin

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 size 5176