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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_dj_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_dj_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: 0.0718 |
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- Bleu: 0.1063 |
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- Rouge1: 0.4552 |
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- Rouge2: 0.2232 |
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- Rougel: 0.4516 |
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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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| 0.1323 | 1.0 | 5358 | 0.0757 | 0.0830 | 0.4072 | 0.1825 | 0.4035 | |
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| 0.0662 | 2.0 | 10716 | 0.0718 | 0.1063 | 0.4552 | 0.2232 | 0.4516 | |
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| 0.0526 | 3.0 | 16074 | 0.0727 | 0.1197 | 0.4753 | 0.2520 | 0.4719 | |
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| 0.0414 | 4.0 | 21432 | 0.0757 | 0.1274 | 0.4894 | 0.2644 | 0.4862 | |
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| 0.0325 | 5.0 | 26790 | 0.0819 | 0.1290 | 0.4910 | 0.2671 | 0.4875 | |
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| 0.0262 | 6.0 | 32148 | 0.0863 | 0.1297 | 0.4922 | 0.2665 | 0.4888 | |
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| 0.0221 | 7.0 | 37506 | 0.0930 | 0.1326 | 0.4960 | 0.2713 | 0.4923 | |
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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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