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--- |
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license: apache-2.0 |
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base_model: PartAI/TookaBERT-Base |
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tags: |
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- 'persian ' |
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- fa |
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- tookabert |
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- classification |
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- bert |
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- persian_bert |
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model-index: |
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- name: bert_classification_persian_emotion |
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results: [] |
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datasets: |
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- SeyedAli/Persian-Text-Emotion |
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language: |
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- fa |
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metrics: |
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- accuracy |
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pipeline_tag: text-classification |
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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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# bert_classification_persian_emotion |
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This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co./PartAI/TookaBERT-Base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4380 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4802 | 1.0 | 695 | 0.4607 | |
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| 0.2808 | 2.0 | 1390 | 0.4024 | |
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| 0.177 | 3.0 | 2085 | 0.4380 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
