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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-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-model2-1510-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: 0.4317 |
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- Rouge1: 66.2469 |
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- Rouge2: 61.9187 |
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- Rougel: 64.975 |
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- Rougelsum: 65.8105 |
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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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| No log | 1.0 | 409 | 0.4893 | 63.6678 | 55.1935 | 61.0167 | 62.2738 | 20.0 | |
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| 0.5697 | 2.0 | 818 | 0.4261 | 65.5028 | 59.8267 | 63.9004 | 64.5644 | 20.0 | |
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| 0.1918 | 3.0 | 1227 | 0.4179 | 66.7784 | 61.5052 | 64.3163 | 65.6703 | 20.0 | |
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| 0.098 | 4.0 | 1636 | 0.4317 | 66.2469 | 61.9187 | 64.975 | 65.8105 | 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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