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

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6780
-- Accuracy: {'accuracy': 0.933}
+- Loss: 0.5470
+- Accuracy: {'accuracy': 0.945}
 
 ## 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  | 0.2753          | {'accuracy': 0.934} |
-| 0.4053        | 2.0   | 500  | 0.3700          | {'accuracy': 0.918} |
-| 0.4053        | 3.0   | 750  | 0.4246          | {'accuracy': 0.927} |
-| 0.123         | 4.0   | 1000 | 0.5111          | {'accuracy': 0.934} |
-| 0.123         | 5.0   | 1250 | 0.5150          | {'accuracy': 0.937} |
-| 0.037         | 6.0   | 1500 | 0.6245          | {'accuracy': 0.929} |
-| 0.037         | 7.0   | 1750 | 0.6819          | {'accuracy': 0.93}  |
-| 0.0314        | 8.0   | 2000 | 0.7015          | {'accuracy': 0.933} |
-| 0.0314        | 9.0   | 2250 | 0.6887          | {'accuracy': 0.934} |
-| 0.0123        | 10.0  | 2500 | 0.6780          | {'accuracy': 0.933} |
+| No log        | 1.0   | 250  | 0.2169          | {'accuracy': 0.937} |
+| 0.4041        | 2.0   | 500  | 0.3314          | {'accuracy': 0.929} |
+| 0.4041        | 3.0   | 750  | 0.3828          | {'accuracy': 0.932} |
+| 0.124         | 4.0   | 1000 | 0.5339          | {'accuracy': 0.932} |
+| 0.124         | 5.0   | 1250 | 0.4807          | {'accuracy': 0.947} |
+| 0.0646        | 6.0   | 1500 | 0.4953          | {'accuracy': 0.94}  |
+| 0.0646        | 7.0   | 1750 | 0.5093          | {'accuracy': 0.936} |
+| 0.0492        | 8.0   | 2000 | 0.5517          | {'accuracy': 0.937} |
+| 0.0492        | 9.0   | 2250 | 0.5376          | {'accuracy': 0.944} |
+| 0.0164        | 10.0  | 2500 | 0.5470          | {'accuracy': 0.945} |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 2667328

runs/Jun05_12-26-12_1d9433c525ef/events.out.tfevents.1717590373.1d9433c525ef.7540.0

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+size 9065

training_args.bin

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 size 5176