End of training

README.md

@@ -20,11 +20,11 @@ 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: 0.0150
-- Accuracy: 0.9961
-- Precision: 0.9961
-- Recall: 0.9961
-- F1: 0.9961
+- Loss: 0.0001
+- Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
 
 ## Model description
 
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 64   | 0.0433          | 0.9883   | 0.9886    | 0.9883 | 0.9883 |
-| No log        | 2.0   | 128  | 0.0088          | 0.9961   | 0.9961    | 0.9961 | 0.9961 |
-| No log        | 3.0   | 192  | 0.0201          | 0.9961   | 0.9961    | 0.9961 | 0.9961 |
-| No log        | 4.0   | 256  | 0.0150          | 0.9961   | 0.9961    | 0.9961 | 0.9961 |
+| No log        | 1.0   | 57   | 0.0207          | 0.9956   | 0.9956    | 0.9956 | 0.9956 |
+| No log        | 2.0   | 114  | 0.0001          | 1.0      | 1.0       | 1.0    | 1.0    |
+| No log        | 3.0   | 171  | 0.0001          | 1.0      | 1.0       | 1.0    | 1.0    |
+| No log        | 4.0   | 228  | 0.0001          | 1.0      | 1.0       | 1.0    | 1.0    |
 
 
 ### Framework versions

model.safetensors

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runs/Apr03_10-07-31_yb-virtual-machine/events.out.tfevents.1712131651.yb-virtual-machine.20652.1

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training_args.bin

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