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--- |
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base_model: UBC-NLP/AraT5v2-base-1024 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: results2 |
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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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# results2 |
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This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1539 |
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- F1: 0.9682 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.1612 | 1.0 | 574 | 2.9806 | 0.0625 | |
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| 2.7788 | 2.0 | 1148 | 1.6246 | 0.4172 | |
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| 1.0397 | 3.0 | 1722 | 0.3903 | 0.8539 | |
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| 0.3532 | 4.0 | 2296 | 0.2816 | 0.9261 | |
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| 0.1624 | 5.0 | 2870 | 0.2199 | 0.9512 | |
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| 0.0984 | 6.0 | 3444 | 0.1321 | 0.9720 | |
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| 0.0581 | 7.0 | 4018 | 0.1576 | 0.9682 | |
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| 0.0369 | 8.0 | 4592 | 0.1243 | 0.9760 | |
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| 0.0351 | 9.0 | 5166 | 0.1539 | 0.9721 | |
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| 0.0338 | 10.0 | 5740 | 0.1539 | 0.9682 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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