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dadashzadeh
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tiny-bert-Sentiment-persian

Text Classification
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Persian
bert
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- ---
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- license: apache-2.0
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- base_model: dadashzadeh/tiny-bert-Sentiment-persian
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- tags:
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- - generated_from_trainer
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- metrics:
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- - accuracy
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- model-index:
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- - name: tiny-bert-Sentiment-persian
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # tiny-bert-Sentiment-persian
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-
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- 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.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.6553
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- - Accuracy: 0.7611
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 2
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- - eval_batch_size: 2
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- - seed: 45
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 8
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 12
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- - mixed_precision_training: Native AMP
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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- | 0.6157 | 0.9999 | 3575 | 0.6703 | 0.7577 |
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- | 0.5833 | 1.9999 | 7150 | 0.7599 | 0.7171 |
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- | 0.6015 | 2.9998 | 10725 | 0.6824 | 0.7590 |
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- | 0.5601 | 4.0 | 14301 | 0.6780 | 0.7533 |
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- | 0.5699 | 4.9999 | 17876 | 0.7071 | 0.7356 |
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- | 0.5519 | 5.9999 | 21451 | 0.6931 | 0.7391 |
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- | 0.5436 | 6.9998 | 25026 | 0.6736 | 0.7629 |
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- | 0.5482 | 8.0 | 28602 | 0.6567 | 0.7685 |
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- | 0.5367 | 8.9999 | 32177 | 0.6553 | 0.7611 |
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- | 0.5399 | 9.9999 | 35752 | 0.6691 | 0.7616 |
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- | 0.5112 | 10.9998 | 39327 | 0.6785 | 0.7564 |
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- | 0.5113 | 11.9992 | 42900 | 0.6773 | 0.7572 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.40.2
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- - Pytorch 2.2.2+cu118
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- - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ base_model: dadashzadeh/tiny-bert-Sentiment-persian
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+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: tiny-bert-Sentiment-persian
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+ results: []
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+ datasets:
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+ - hezarai/sentiment-dksf
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+ language:
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+ - fa
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+ pipeline_tag: text-classification
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # tiny-bert-Sentiment-persian
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6553
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+ - Accuracy: 0.7611
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
33
+
34
+ More information needed
35
+
36
+ ## Training and evaluation data
37
+
38
+ More information needed
39
+
40
+ ## Training procedure
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+
42
+ ### Training hyperparameters
43
+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
46
+ - train_batch_size: 2
47
+ - eval_batch_size: 2
48
+ - seed: 45
49
+ - gradient_accumulation_steps: 4
50
+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 12
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-------:|:-----:|:---------------:|:--------:|
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+ | 0.6157 | 0.9999 | 3575 | 0.6703 | 0.7577 |
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+ | 0.5833 | 1.9999 | 7150 | 0.7599 | 0.7171 |
62
+ | 0.6015 | 2.9998 | 10725 | 0.6824 | 0.7590 |
63
+ | 0.5601 | 4.0 | 14301 | 0.6780 | 0.7533 |
64
+ | 0.5699 | 4.9999 | 17876 | 0.7071 | 0.7356 |
65
+ | 0.5519 | 5.9999 | 21451 | 0.6931 | 0.7391 |
66
+ | 0.5436 | 6.9998 | 25026 | 0.6736 | 0.7629 |
67
+ | 0.5482 | 8.0 | 28602 | 0.6567 | 0.7685 |
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+ | 0.5367 | 8.9999 | 32177 | 0.6553 | 0.7611 |
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+ | 0.5399 | 9.9999 | 35752 | 0.6691 | 0.7616 |
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+ | 0.5112 | 10.9998 | 39327 | 0.6785 | 0.7564 |
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+ | 0.5113 | 11.9992 | 42900 | 0.6773 | 0.7572 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.2.2+cu118
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1