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--- |
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license: apache-2.0 |
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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-model2-1510-e6 |
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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-model2-1510-e6 |
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This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4903 |
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- Rouge1: 66.541 |
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- Rouge2: 62.0799 |
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- Rougel: 65.123 |
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- Rougelsum: 66.0849 |
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- Gen Len: 20.0 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 6 |
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- mixed_precision_training: Native AMP |
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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 | 1.0 | 409 | 0.4982 | 64.0814 | 56.458 | 61.787 | 62.5761 | 20.0 | |
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| 0.5699 | 2.0 | 818 | 0.4216 | 65.1935 | 59.1949 | 63.3361 | 64.071 | 20.0 | |
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| 0.1953 | 3.0 | 1227 | 0.4284 | 66.1645 | 61.4297 | 64.8168 | 65.4799 | 20.0 | |
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| 0.1025 | 4.0 | 1636 | 0.4722 | 65.4591 | 60.807 | 64.1694 | 64.8935 | 20.0 | |
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| 0.0765 | 5.0 | 2045 | 0.5023 | 65.8001 | 61.49 | 64.7804 | 65.6771 | 20.0 | |
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| 0.0765 | 6.0 | 2454 | 0.4903 | 66.541 | 62.0799 | 65.123 | 66.0849 | 20.0 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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