Training complete

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0349
+- Loss: 0.0216
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
-- Accuracy: 0.9994
+- Accuracy: 0.9984
 
 ## Model description
 
@@ -44,11 +44,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 1
-- eval_batch_size: 8
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 4
+- total_train_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 0.96  | 6    | 0.7401          | 0.0       | 0.0    | 0.0 | 0.9908   |
-| No log        | 1.92  | 12   | 0.1427          | 0.0       | 0.0    | 0.0 | 0.9993   |
-| No log        | 2.88  | 18   | 0.0349          | 0.0       | 0.0    | 0.0 | 0.9994   |
+| 1.1693        | 1.0   | 680  | 0.1284          | 0.0       | 0.0    | 0.0 | 0.9978   |
+| 0.1244        | 2.0   | 1361 | 0.0289          | 0.0       | 0.0    | 0.0 | 0.9984   |
+| 0.0213        | 3.0   | 2040 | 0.0216          | 0.0       | 0.0    | 0.0 | 0.9984   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar20_08-19-03_f0734de85364/events.out.tfevents.1710922750.f0734de85364.34.0

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runs/Mar20_08-23-42_f0734de85364/events.out.tfevents.1710923028.f0734de85364.34.1

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training_args.bin

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