End of training

README.md

@@ -7,20 +7,20 @@ metrics:
 - accuracy
 - f1
 model-index:
-- name: kato-dummy
+- name: deberta-v3-large-classifier
   results: []
 ---
 
 <!-- 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. -->
 
-# kato-dummy
+# deberta-v3-large-classifier
 
 This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5742
-- Accuracy: 0.647
-- F1: 0.6466
+- Loss: 0.4924
+- Accuracy: 0.7255
+- F1: 0.7230
 
 ## Model description
 
@@ -39,7 +39,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 8e-06
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.6472        | 1.0   | 250  | 0.6111          | 0.5915   | 0.4867 |
-| 0.5499        | 2.0   | 500  | 0.5742          | 0.647    | 0.6466 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.4852        | 1.0   | 15898 | 0.4908          | 0.7223   | 0.7143 |
+| 0.4751        | 2.0   | 31796 | 0.4924          | 0.7255   | 0.7230 |
 
 
 ### Framework versions

model.safetensors

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