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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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End of training

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  1. README.md +15 -19
  2. model.safetensors +1 -1
  3. runs/Jul11_01-24-52_0acce8ee3931/events.out.tfevents.1720661094.0acce8ee3931.378.14 +3 -0
  4. runs/Jul11_01-24-52_0acce8ee3931/events.out.tfevents.1720661461.0acce8ee3931.378.15 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6615
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- - Accuracy: 0.7421
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  ## Model description
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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: 10
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- - eval_batch_size: 25
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  - seed: 10
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.6731 | 1.0 | 2861 | 0.6896 | 0.7119 |
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- | 0.6829 | 2.0 | 5722 | 0.7134 | 0.7002 |
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- | 0.6748 | 3.0 | 8583 | 0.6781 | 0.7287 |
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- | 0.6585 | 4.0 | 11444 | 0.6637 | 0.7343 |
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- | 0.6477 | 5.0 | 14305 | 0.6524 | 0.7317 |
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- | 0.6697 | 6.0 | 17166 | 0.6429 | 0.7421 |
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- | 0.6504 | 7.0 | 20027 | 0.6455 | 0.7417 |
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- | 0.6296 | 8.0 | 22888 | 0.6559 | 0.7369 |
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- | 0.647 | 9.0 | 25749 | 0.6528 | 0.7430 |
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- | 0.6453 | 10.0 | 28610 | 0.6600 | 0.7421 |
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- | 0.6523 | 11.0 | 31471 | 0.6489 | 0.7490 |
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- | 0.6281 | 12.0 | 34332 | 0.6615 | 0.7421 |
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  ### Framework versions
 
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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: 0.6537
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+ - Accuracy: 0.7387
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  ## Model description
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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: 40
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+ - eval_batch_size: 40
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  - seed: 10
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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: 8
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6273 | 1.0 | 716 | 0.6794 | 0.7201 |
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+ | 0.6336 | 2.0 | 1432 | 0.6611 | 0.7348 |
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+ | 0.628 | 3.0 | 2148 | 0.6538 | 0.7451 |
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+ | 0.6239 | 4.0 | 2864 | 0.6601 | 0.7343 |
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+ | 0.6214 | 5.0 | 3580 | 0.6546 | 0.7374 |
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+ | 0.618 | 6.0 | 4296 | 0.6476 | 0.7443 |
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+ | 0.6136 | 7.0 | 5012 | 0.6484 | 0.7447 |
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+ | 0.619 | 8.0 | 5728 | 0.6537 | 0.7387 |
 
 
 
 
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  ### Framework versions
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