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 [judy93536/distilroberta-newsapi121k](https://huggingface.co/judy93536/distilroberta-newsapi121k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1750
-- Accuracy: 0.9610
+- Loss: 0.1255
+- Accuracy: 0.9520
 
 ## Model description
 
@@ -44,19 +44,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.28
-- num_epochs: 6
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 125  | 0.2454          | 0.9029   |
-| No log        | 2.0   | 250  | 0.1751          | 0.9299   |
-| No log        | 3.0   | 375  | 0.1305          | 0.9560   |
-| 0.2416        | 4.0   | 500  | 0.1636          | 0.9630   |
-| 0.2416        | 5.0   | 625  | 0.1831          | 0.9620   |
-| 0.2416        | 6.0   | 750  | 0.1750          | 0.9610   |
+| No log        | 1.0   | 125  | 0.2073          | 0.9219   |
+| No log        | 2.0   | 250  | 0.1255          | 0.9520   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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 size 4536