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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-e8 |
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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-e8 |
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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: 0.3655 |
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- Rouge1: 61.3129 |
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- Rouge2: 57.3305 |
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- Rougel: 60.8028 |
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- Rougelsum: 60.5111 |
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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: 8 |
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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 | 0.4572 | 56.7459 | 47.5708 | 54.6144 | 54.9188 | 20.0 | |
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| 0.5704 | 2.0 | 818 | 0.4349 | 58.4751 | 50.7958 | 56.5975 | 56.941 | 20.0 | |
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| 0.1956 | 3.0 | 1227 | 0.3952 | 61.6499 | 55.4368 | 60.157 | 60.2961 | 20.0 | |
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| 0.1177 | 4.0 | 1636 | 0.3685 | 59.8851 | 54.1843 | 58.6443 | 58.8519 | 20.0 | |
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| 0.0752 | 5.0 | 2045 | 0.3654 | 60.975 | 55.9124 | 60.0336 | 59.8978 | 20.0 | |
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| 0.0752 | 6.0 | 2454 | 0.3525 | 61.268 | 55.7247 | 60.2274 | 60.1515 | 20.0 | |
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| 0.0526 | 7.0 | 2863 | 0.3519 | 61.6626 | 57.9242 | 61.0212 | 60.8486 | 20.0 | |
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| 0.0388 | 8.0 | 3272 | 0.3655 | 61.3129 | 57.3305 | 60.8028 | 60.5111 | 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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