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--- |
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license: other |
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base_model: aubmindlab/aragpt2-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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- rouge |
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model-index: |
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- name: res_nw_gulf_aragpt2-large |
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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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# res_nw_gulf_aragpt2-large |
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This model is a fine-tuned version of [aubmindlab/aragpt2-large](https://huggingface.co/aubmindlab/aragpt2-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0472 |
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- Bleu: 0.0632 |
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- Rouge1: 0.4039 |
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- Rouge2: 0.1633 |
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- Rougel: 0.4013 |
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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: 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: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:| |
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| 0.2041 | 1.0 | 1672 | 0.0487 | 0.0445 | 0.3745 | 0.1302 | 0.3718 | |
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| 0.0404 | 2.0 | 3344 | 0.0472 | 0.0632 | 0.4039 | 0.1633 | 0.4013 | |
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| 0.0301 | 3.0 | 5016 | 0.0480 | 0.0763 | 0.4339 | 0.2002 | 0.4322 | |
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| 0.0232 | 4.0 | 6688 | 0.0515 | 0.0843 | 0.4535 | 0.2192 | 0.4517 | |
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| 0.0189 | 5.0 | 8360 | 0.0538 | 0.0876 | 0.4654 | 0.2299 | 0.4638 | |
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| 0.0164 | 6.0 | 10032 | 0.0572 | 0.0930 | 0.4675 | 0.2370 | 0.4653 | |
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| 0.0148 | 7.0 | 11704 | 0.0583 | 0.0918 | 0.4656 | 0.2308 | 0.4636 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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