Model save

README.md

@@ -16,16 +16,16 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ivkovicdanica555-Student/huggingface/runs/uswyu1l3)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ivkovicdanica555-Student/huggingface/runs/4649rwz9)
 # my_awesome_model
 
 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: 0.4554
-- Accuracy: 0.8555
-- Precision: 0.8558
-- Recall: 0.8556
-- F1: 0.8549
+- Loss: 0.4386
+- Accuracy: 0.8569
+- Precision: 0.8576
+- Recall: 0.8571
+- F1: 0.8559
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.5406        | 1.0   | 5000  | 0.5068          | 0.8277   | 0.8361    | 0.8274 | 0.8276 |
-| 0.4074        | 2.0   | 10000 | 0.4653          | 0.8478   | 0.8501    | 0.8481 | 0.8480 |
-| 0.3239        | 3.0   | 15000 | 0.4554          | 0.8555   | 0.8558    | 0.8556 | 0.8549 |
+| 0.5211        | 1.0   | 5000  | 0.5037          | 0.8327   | 0.8408    | 0.8331 | 0.8294 |
+| 0.4159        | 2.0   | 10000 | 0.4410          | 0.8517   | 0.8546    | 0.8520 | 0.8519 |
+| 0.3468        | 3.0   | 15000 | 0.4386          | 0.8569   | 0.8576    | 0.8571 | 0.8559 |
 
 
 ### Framework versions