End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Sakonii/distilgpt2-nepali](https://huggingface.co/Sakonii/distilgpt2-nepali) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.2404
+- Loss: 3.9077
 
 ## Model description
 
@@ -35,18 +35,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 17
-- eval_batch_size: 17
+- train_batch_size: 72
+- eval_batch_size: 72
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 4.3015        | 1.0   | 118  | 4.2404          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.1278        | 1.0   | 6829  | 4.0184          |
+| 3.9461        | 2.0   | 13658 | 3.9630          |
+| 3.8268        | 3.0   | 20487 | 3.9319          |
+| 3.7978        | 4.0   | 27316 | 3.9140          |
+| 3.7949        | 5.0   | 34145 | 3.9077          |
 
 
 ### Framework versions