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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-animal_7340_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-animal_7340_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: 2.5325 |
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- Rouge1: 0.1399 |
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- Rouge2: 0.0606 |
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- Rougel: 0.1236 |
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- Rougelsum: 0.1238 |
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- Gen Len: 15.5516 |
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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 | 1.93 | 500 | 2.7950 | 0.1206 | 0.0456 | 0.1042 | 0.1044 | 15.4938 | |
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| No log | 3.87 | 1000 | 2.6359 | 0.1188 | 0.0475 | 0.1037 | 0.104 | 14.4579 | |
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| No log | 5.8 | 1500 | 2.5695 | 0.137 | 0.0571 | 0.1205 | 0.1207 | 15.7157 | |
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| 2.9693 | 7.74 | 2000 | 2.5406 | 0.1433 | 0.0611 | 0.1263 | 0.1268 | 15.7796 | |
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| 2.9693 | 9.67 | 2500 | 2.5325 | 0.1399 | 0.0606 | 0.1236 | 0.1238 | 15.5516 | |
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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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