End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5494
-- Accuracy: 0.75
+- Loss: 0.1972
+- Accuracy: 0.9458
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 0.5793          | 0.74     |
-| No log        | 2.0   | 14   | 0.5494          | 0.75     |
+| No log        | 1.0   | 350  | 0.1690          | 0.9429   |
+| 0.2156        | 2.0   | 700  | 0.1972          | 0.9458   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar05_20-20-38_4002e157c014/events.out.tfevents.1709670038.4002e157c014.3611.0

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training_args.bin

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