End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: philschmid/tiny-bert-sst2-distilled
+base_model: dadashzadeh/tiny-bert-Sentiment-persian
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny-bert-Sentiment-persian
 
-This model is a fine-tuned version of [philschmid/tiny-bert-sst2-distilled](https://huggingface.co/philschmid/tiny-bert-sst2-distilled) on an unknown dataset.
+This model is a fine-tuned version of [dadashzadeh/tiny-bert-Sentiment-persian](https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8137
-- Accuracy: 0.6423
+- Loss: 0.7744
+- Accuracy: 0.6570
 
 ## Model description
 
@@ -37,30 +37,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-08
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 12
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.8627        | 1.0   | 3576  | 0.8142          | 0.6410   |
-| 0.8555        | 2.0   | 7152  | 0.8140          | 0.6415   |
-| 0.874         | 3.0   | 10728 | 0.8138          | 0.6419   |
-| 0.8566        | 4.0   | 14304 | 0.8137          | 0.6423   |
-| 0.8739        | 5.0   | 17880 | 0.8137          | 0.6423   |
-| 0.8917        | 6.0   | 21456 | 0.8138          | 0.6432   |
-| 0.866         | 7.0   | 25032 | 0.8137          | 0.6432   |
-| 0.8613        | 8.0   | 28608 | 0.8137          | 0.6432   |
-| 0.875         | 9.0   | 32184 | 0.8137          | 0.6441   |
-| 0.8838        | 10.0  | 35760 | 0.8137          | 0.6441   |
-| 0.8682        | 11.0  | 39336 | 0.8137          | 0.6441   |
-| 0.8736        | 12.0  | 42912 | 0.8137          | 0.6441   |
+| 0.8669        | 1.0   | 2384  | 0.8153          | 0.6354   |
+| 0.8577        | 2.0   | 4768  | 0.7903          | 0.6523   |
+| 0.8537        | 3.0   | 7152  | 0.7873          | 0.6549   |
+| 0.8411        | 4.0   | 9536  | 0.7792          | 0.6531   |
+| 0.8408        | 5.0   | 11920 | 0.8042          | 0.6397   |
+| 0.8432        | 6.0   | 14304 | 0.7744          | 0.6570   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "philschmid/tiny-bert-sst2-distilled",
+  "_name_or_path": "dadashzadeh/tiny-bert-Sentiment-persian",
   "architectures": [
     "BertForSequenceClassification"
   ],

model.safetensors

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training_args.bin

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