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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: wiki_asp-soccer_player_7726_bart-base |
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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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# wiki_asp-soccer_player_7726_bart-base |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2561 |
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- Rouge1: 0.0369 |
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- Rouge2: 0.0124 |
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- Rougel: 0.0314 |
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- Rougelsum: 0.0316 |
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- Gen Len: 7.0433 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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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| No log | 1.82 | 500 | 2.5528 | 0.0155 | 0.0047 | 0.0125 | 0.0125 | 4.4707 | |
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| No log | 3.64 | 1000 | 2.3699 | 0.0285 | 0.0099 | 0.0239 | 0.0241 | 5.6349 | |
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| No log | 5.45 | 1500 | 2.3079 | 0.0155 | 0.0055 | 0.0131 | 0.0132 | 4.4819 | |
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| 2.6218 | 7.27 | 2000 | 2.2763 | 0.0319 | 0.0107 | 0.0272 | 0.0273 | 6.2228 | |
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| 2.6218 | 9.09 | 2500 | 2.2561 | 0.0369 | 0.0124 | 0.0314 | 0.0316 | 7.0433 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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