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 [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0281
-- Precision: 0.9483
+- Loss: 0.0904
+- Precision: 0.9322
 - Recall: 0.9649
-- F1: 0.9565
-- Accuracy: 0.9881
+- F1: 0.9483
+- Accuracy: 0.9813
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 58   | 0.1096          | 0.8852    | 0.9474 | 0.9153 | 0.9711   |
-| No log        | 2.0   | 116  | 0.0573          | 0.9569    | 0.9737 | 0.9652 | 0.9830   |
-| No log        | 3.0   | 174  | 0.0444          | 0.9402    | 0.9649 | 0.9524 | 0.9830   |
-| No log        | 4.0   | 232  | 0.0272          | 0.9402    | 0.9649 | 0.9524 | 0.9864   |
-| No log        | 5.0   | 290  | 0.0322          | 0.9402    | 0.9649 | 0.9524 | 0.9864   |
-| No log        | 6.0   | 348  | 0.0281          | 0.9483    | 0.9649 | 0.9565 | 0.9881   |
+| No log        | 1.0   | 58   | 0.1103          | 0.9316    | 0.9561 | 0.9437 | 0.9762   |
+| No log        | 2.0   | 116  | 0.1157          | 0.9474    | 0.9474 | 0.9474 | 0.9796   |
+| No log        | 3.0   | 174  | 0.1069          | 0.9153    | 0.9474 | 0.9310 | 0.9779   |
+| No log        | 4.0   | 232  | 0.0904          | 0.9322    | 0.9649 | 0.9483 | 0.9813   |
+| No log        | 5.0   | 290  | 0.0990          | 0.9322    | 0.9649 | 0.9483 | 0.9796   |
+| No log        | 6.0   | 348  | 0.0964          | 0.9244    | 0.9649 | 0.9442 | 0.9813   |
 
 
 ### Framework versions

runs/Mar31_13-58-49_fa34a42b14f0/events.out.tfevents.1711893537.fa34a42b14f0.186.0

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-size 6841
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+size 8139

runs/Mar31_13-58-49_fa34a42b14f0/events.out.tfevents.1711893742.fa34a42b14f0.186.1

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