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 [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0786
-- Accuracy: 0.0179
-- F1: 0.0332
-- Precision: 0.0170
-- Recall: 0.7727
+- Loss: 0.0874
+- Accuracy: 0.0218
+- F1: 0.0427
+- Precision: 0.0218
+- Recall: 1.0
 - Learning Rate: 0.0
 
 ## Model description
@@ -50,16 +50,14 @@ 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: 4
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
-| 0.1014        | 1.0   | 689  | 0.0842          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0015 |
-| 0.0975        | 2.0   | 1378 | 0.0830          | 0.0188   | 0.0370 | 0.0189    | 0.8636 | 0.001  |
-| 0.0973        | 3.0   | 2067 | 0.0764          | 0.0198   | 0.0389 | 0.0199    | 0.9091 | 0.0005 |
-| 0.0884        | 4.0   | 2756 | 0.0786          | 0.0179   | 0.0332 | 0.0170    | 0.7727 | 0.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
+| 0.1183        | 1.0   | 689  | 0.0870          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.001 |
+| 0.1163        | 2.0   | 1378 | 0.0874          | 0.0218   | 0.0427 | 0.0218    | 1.0    | 0.0   |
 
 
 ### Framework versions

model.safetensors

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 size 1740120184

runs/Jun11_20-26-16_65c98260bd49/events.out.tfevents.1718137578.65c98260bd49.6884.0

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