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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- midas/inspec |
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model-index: |
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- name: synonyms_5000_plus_3000_default_3_epoch |
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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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# synonyms_5000_plus_3000_default_3_epoch |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the midas/inspec generation dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7956 |
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- F1@5ext: 0.4590 |
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- P@5ext: 0.6116 |
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- R@5ext: 0.4109 |
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- F1@10ext: 0.5403 |
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- P@10ext: 0.5953 |
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- R@10ext: 0.5374 |
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- F1@5abs: 0.2019 |
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- P@5abs: 0.3080 |
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- R@5abs: 0.1721 |
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- F1@10abs: 0.2307 |
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- P@10abs: 0.3066 |
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- R@10abs: 0.2109 |
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- F1@oext: 0.5427 |
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- P@oext: 0.6045 |
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- R@oext: 0.5246 |
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- F1@oabs: 0.2316 |
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- P@oabs: 0.3079 |
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- R@oabs: 0.2094 |
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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: 10 |
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- seed: 42 |
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- gradient_accumulation_steps: 6 |
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- total_train_batch_size: 24 |
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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: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.24.0.dev0 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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