End of training

README.md

@@ -2,7 +2,8 @@
 library_name: transformers
 language:
 - np
-base_model: dexhrestha/Nepali-DistilBERT
+license: mit
+base_model: Sakonii/deberta-base-nepali
 tags:
 - generated_from_trainer
 metrics:
@@ -20,13 +21,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Nepali-BERT-devangari-sentiment
 
-This model is a fine-tuned version of [dexhrestha/Nepali-DistilBERT](https://huggingface.co/dexhrestha/Nepali-DistilBERT) on the Custom Devangari Datasets dataset.
+This model is a fine-tuned version of [Sakonii/deberta-base-nepali](https://huggingface.co/Sakonii/deberta-base-nepali) on the Custom Devangari Datasets dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5347
-- Accuracy: 0.8403
-- F1: 0.4837
-- Precision: 0.3875
-- Recall: 0.6435
+- Loss: 0.6662
+- Accuracy: 0.8710
+- F1: 0.5130
+- Precision: 0.4571
+- Recall: 0.5844
 
 ## Model description
 
@@ -45,28 +46,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 8
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.5776        | 1.0   | 1189 | 0.5874          | 0.8373   | 0.4543 | 0.3725    | 0.5823 |
-| 0.4707        | 2.0   | 2378 | 0.5347          | 0.8403   | 0.4837 | 0.3875    | 0.6435 |
-| 0.3921        | 3.0   | 3567 | 0.6306          | 0.8530   | 0.4732 | 0.4057    | 0.5675 |
-| 0.3146        | 4.0   | 4756 | 0.8935          | 0.8719   | 0.4673 | 0.4526    | 0.4831 |
-| 0.248         | 5.0   | 5945 | 1.1782          | 0.8776   | 0.4582 | 0.4720    | 0.4451 |
-| 0.1978        | 6.0   | 7134 | 1.2942          | 0.8648   | 0.4687 | 0.4316    | 0.5127 |
-| 0.1504        | 7.0   | 8323 | 1.5298          | 0.8663   | 0.4609 | 0.4339    | 0.4916 |
-| 0.1259        | 8.0   | 9512 | 1.6731          | 0.8761   | 0.4432 | 0.4642    | 0.4241 |
+| 0.6046        | 1.0   | 1189 | 0.5267          | 0.8167   | 0.4543 | 0.3475    | 0.6561 |
+| 0.4952        | 2.0   | 2378 | 0.5396          | 0.8518   | 0.5025 | 0.4122    | 0.6435 |
+| 0.412         | 3.0   | 3567 | 0.5733          | 0.8656   | 0.5098 | 0.4425    | 0.6013 |
+| 0.3406        | 4.0   | 4756 | 0.6662          | 0.8710   | 0.5130 | 0.4571    | 0.5844 |
 
 
 ### Framework versions

runs/Oct23_14-56-27_e17934a1dc81/events.out.tfevents.1729701916.e17934a1dc81.25136.1

@@ -0,0 +1,3 @@
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+oid sha256:aad429096bf0bf1c1aa51ca6c04a81ae80a0d200a2bbdf9ed325a96d862e60fd
+size 560