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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: InstructTweetSummarizer |
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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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# InstructTweetSummarizer |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3565 |
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- Rouge1: 47.5452 |
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- Rouge2: 25.3674 |
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- Rougel: 36.0812 |
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- Rougelsum: 36.2167 |
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- Gen Len: 107.74 |
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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: 2e-05 |
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- train_batch_size: 5 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 10 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.5304 | 1.0 | 500 | 0.3506 | 46.2605 | 23.1881 | 33.9634 | 34.0538 | 108.25 | |
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| 0.2188 | 2.0 | 1000 | 0.3462 | 48.0532 | 25.4668 | 36.3198 | 36.449 | 106.76 | |
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| 0.1677 | 3.0 | 1500 | 0.3565 | 47.5452 | 25.3674 | 36.0812 | 36.2167 | 107.74 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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