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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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<!-- 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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# tiny-bert-Sentiment-persian |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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