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--- |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: output |
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results: [] |
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language: |
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- fa |
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datasets: |
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- SeyedAli/Persian-Text-Paraphrasing |
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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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# Persian-Text-paraphraser-mT5 |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co./google/mt5-base) on [SeyedAli/Persian-Text-Paraphrasing](https://huggingface.co./datasets/SeyedAli/Persian-Text-Paraphrasing) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2334 |
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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: 5 |
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- eval_batch_size: 5 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 160 | 0.4026 | |
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| No log | 2.0 | 320 | 0.2853 | |
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| No log | 3.0 | 480 | 0.2543 | |
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| 1.5981 | 4.0 | 640 | 0.2466 | |
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| 1.5981 | 5.0 | 800 | 0.2408 | |
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| 1.5981 | 6.0 | 960 | 0.2367 | |
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| 0.3535 | 7.0 | 1120 | 0.2363 | |
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| 0.3535 | 8.0 | 1280 | 0.2344 | |
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| 0.3535 | 9.0 | 1440 | 0.2334 | |
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| 0.3151 | 10.0 | 1600 | 0.2334 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
