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--- |
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license: apache-2.0 |
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base_model: HooshvareLab/bert-fa-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: result |
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results: [] |
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language: |
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- fa |
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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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# result |
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This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0331 |
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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: 3e-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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- 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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| 2.3247 | 1.0 | 1126 | 1.7615 | |
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| 1.4445 | 2.0 | 2252 | 1.8002 | |
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| 0.7653 | 3.0 | 3378 | 2.0806 | |
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| 0.4247 | 4.0 | 4504 | 2.6624 | |
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| 0.2502 | 5.0 | 5630 | 3.2961 | |
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| 0.168 | 6.0 | 6756 | 3.7767 | |
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| 0.0809 | 7.0 | 7882 | 4.3288 | |
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| 0.0544 | 8.0 | 9008 | 4.8516 | |
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| 0.0398 | 9.0 | 10134 | 4.9091 | |
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| 0.0102 | 10.0 | 11260 | 5.0331 | |
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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 |
