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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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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-finetuned-BBC |
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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-finetuned-BBC |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3888 |
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- Rouge1: 0.2466 |
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- Rouge2: 0.2019 |
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- Rougel: 0.2349 |
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- Rougelsum: 0.2349 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 8 |
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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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| 1.7582 | 1.0 | 157 | 0.4626 | 0.2305 | 0.1837 | 0.2172 | 0.2173 | |
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| 0.4534 | 2.0 | 314 | 0.4221 | 0.2347 | 0.1892 | 0.222 | 0.2225 | |
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| 0.3744 | 3.0 | 471 | 0.4073 | 0.2474 | 0.2041 | 0.2344 | 0.2347 | |
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| 0.3208 | 4.0 | 628 | 0.3928 | 0.2398 | 0.1947 | 0.2266 | 0.2267 | |
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| 0.2804 | 5.0 | 785 | 0.3767 | 0.2471 | 0.2052 | 0.2348 | 0.2352 | |
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| 0.2537 | 6.0 | 942 | 0.3832 | 0.2499 | 0.2055 | 0.2374 | 0.2375 | |
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| 0.2361 | 7.0 | 1099 | 0.3897 | 0.2466 | 0.2035 | 0.2354 | 0.2358 | |
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| 0.2166 | 8.0 | 1256 | 0.3888 | 0.2466 | 0.2019 | 0.2349 | 0.2349 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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