End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [makhataei/qa-persian-distilbert-fa-zwnj-base](https://huggingface.co/makhataei/qa-persian-distilbert-fa-zwnj-base) on the parsinlu_reading_comprehension dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2461
+- Loss: 4.0605
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - train_batch_size: 13
 - eval_batch_size: 13
 - seed: 42
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.665         | 1.0   | 47   | 2.5329          |
-| 1.983         | 2.0   | 94   | 2.5824          |
-| 1.6365        | 3.0   | 141  | 2.6814          |
-| 1.329         | 4.0   | 188  | 2.7567          |
-| 1.067         | 5.0   | 235  | 2.8691          |
-| 0.9063        | 6.0   | 282  | 3.0056          |
-| 0.7492        | 7.0   | 329  | 3.0976          |
-| 0.6718        | 8.0   | 376  | 3.1850          |
-| 0.5637        | 9.0   | 423  | 3.2335          |
-| 0.5525        | 10.0  | 470  | 3.2461          |
+| 0.426         | 1.0   | 47   | 3.4265          |
+| 0.3255        | 2.0   | 94   | 3.5284          |
+| 0.2722        | 3.0   | 141  | 3.6123          |
+| 0.2179        | 4.0   | 188  | 3.7518          |
+| 0.1692        | 5.0   | 235  | 3.8211          |
+| 0.1706        | 6.0   | 282  | 3.9268          |
+| 0.151         | 7.0   | 329  | 3.9939          |
+| 0.166         | 8.0   | 376  | 4.0470          |
+| 0.1505        | 9.0   | 423  | 4.0532          |
+| 0.17          | 10.0  | 470  | 4.0605          |
 
 
 ### Framework versions

model.safetensors

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runs/Feb20_12-04-10_Software-AI/events.out.tfevents.1708418051.Software-AI.146186.1

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training_args.bin

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