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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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metrics: |
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- rouge |
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model-index: |
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- name: bart-large-xsum-finetuned-sst2 |
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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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# bart-large-xsum-finetuned-sst2 |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co./facebook/bart-large-xsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4333 |
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- Rouge1: 0.5389 |
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- Rouge2: 0.2841 |
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- Rougel: 0.4406 |
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- Rougelsum: 0.4935 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 0.3028 | 1.0 | 920 | 0.3135 | 0.5331 | 0.2844 | 0.4417 | 0.4908 | |
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| 0.2301 | 2.0 | 1841 | 0.3304 | 0.5371 | 0.2878 | 0.4393 | 0.4936 | |
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| 0.1626 | 3.0 | 2762 | 0.3395 | 0.5415 | 0.2907 | 0.4503 | 0.4978 | |
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| 0.112 | 4.0 | 3683 | 0.3898 | 0.5415 | 0.2830 | 0.4406 | 0.4952 | |
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| 0.0747 | 5.0 | 4600 | 0.4333 | 0.5389 | 0.2841 | 0.4406 | 0.4935 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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