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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-model2-0611-e4 |
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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-model2-0611-e4 |
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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: 0.1594 |
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- Rouge1: 60.6252 |
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- Rouge2: 57.2694 |
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- Rougel: 60.2575 |
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- Rougelsum: 60.3721 |
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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: 4 |
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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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| 0.5809 | 1.0 | 624 | 0.3684 | 58.0755 | 49.7811 | 56.3216 | 56.4602 | 19.8485 | |
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| 0.2627 | 2.0 | 1248 | 0.2291 | 58.4775 | 54.4415 | 58.3879 | 58.1972 | 20.0 | |
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| 0.1537 | 3.0 | 1872 | 0.1848 | 60.3497 | 56.6674 | 60.1125 | 59.9956 | 20.0 | |
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| 0.1152 | 4.0 | 2496 | 0.1594 | 60.6252 | 57.2694 | 60.2575 | 60.3721 | 20.0 | |
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### Framework versions |
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- Transformers 4.24.0 |
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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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