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--- |
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base_model: HooshvareLab/bert-base-parsbert-uncased |
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tags: |
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- bert |
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- classification |
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- parsbert |
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- persian |
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- persain_classification |
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model-index: |
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- name: bert_classification_persian_emotion |
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results: [] |
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license: apache-2.0 |
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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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datasets: |
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- SeyedAli/Persian-Text-Emotion |
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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 [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co./HooshvareLab/bert-base-parsbert-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3678 |
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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: 16 |
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- eval_batch_size: 4 |
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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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| 1.3557 | 1.0 | 348 | 1.1649 | |
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| 0.4685 | 2.0 | 696 | 0.4005 | |
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| 0.2652 | 3.0 | 1044 | 0.3678 | |
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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 |
