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: 0.0874
-- Accuracy: 0.0218
-- F1: 0.0427
-- Precision: 0.0218
-- Recall: 1.0
+- Loss: 0.0792
+- Accuracy: 0.0179
+- F1: 0.0313
+- Precision: 0.016
+- Recall: 0.7273
 - Learning Rate: 0.0
 
 ## Model description
@@ -50,14 +50,16 @@ 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: 2
+- num_epochs: 4
 
 ### Training results
 
-| 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   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
+| 0.0852        | 1.0   | 689  | 0.0822          | 0.0179   | 0.0313 | 0.016     | 0.7273 | 0.0015 |
+| 0.0827        | 2.0   | 1378 | 0.0848          | 0.0188   | 0.0313 | 0.0160    | 0.7273 | 0.001  |
+| 0.0778        | 3.0   | 2067 | 0.0798          | 0.0188   | 0.0313 | 0.0160    | 0.7273 | 0.0005 |
+| 0.0707        | 4.0   | 2756 | 0.0792          | 0.0179   | 0.0313 | 0.016     | 0.7273 | 0.0    |
 
 
 ### Framework versions

model.safetensors

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 size 1740120184

runs/Jun11_22-36-47_77102ec450ca/events.out.tfevents.1718145408.77102ec450ca.170.0

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