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--- |
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license: mit |
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base_model: facebook/bart-large-xsum |
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tags: |
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- generated_from_trainer |
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datasets: |
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- Andyrasika/TweetSumm-tuned |
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metrics: |
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- rouge |
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model-index: |
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- name: bart-large-xsum-tweetsum |
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results: |
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- task: |
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name: Summarization |
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type: summarization |
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dataset: |
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name: Andyrasika/TweetSumm-tuned |
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type: Andyrasika/TweetSumm-tuned |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 46.1359 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/samuel-lima-tech4humans/peft-tweetsum/runs/8kw429vm) |
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# bart-large-xsum-tweetsum |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co./facebook/bart-large-xsum) on the Andyrasika/TweetSumm-tuned dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9921 |
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- Rouge1: 46.1359 |
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- Rouge2: 20.5196 |
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- Rougel: 38.6353 |
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- Rougelsum: 41.9642 |
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- Gen Len: 45.1 |
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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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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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